Alan L. Yuille

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Label-Free Liver Tumor Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Masked Autoencoders Enable Efficient Knowledge Distillers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation With Limited Data.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Imbalanced regression for intensity series of pain expression from videos by regularizing spatio-temporal face nets.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Occluded Video Instance Segmentation: A Benchmark.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning?

[BibT_eX]

[DOI]

CoRR, 2022

LUMix: Improving Mixup by Better Modelling Label Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2022

Synthetic Tumors Make AI Segment Tumors Better.

[BibT_eX]

[DOI]

CoRR, 2022

1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track.

[BibT_eX]

[DOI]

CoRR, 2022

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning.

[BibT_eX]

[DOI]

CoRR, 2022

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Learning from Synthetic Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

A Light-Weight Interpretable Model for Nuclei Detection and Weakly-Supervised Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

CateNorm: Categorical Normalization for Robust Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Image BERT Pre-training with Online Tokenizer.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Fast AdvProp.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

k-means Mask Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Coarse-To-Fine Incremental Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

In Defense of Online Models for Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

In Defense of Image Pre-Training for Spatiotemporal Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

PartImageNet: A Large, High-Quality Dataset of Parts.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Context-Enhanced Stereo Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Lite Vision Transformer with Enhanced Self-Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning from Temporal Gradient for Semi-supervised Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model.

[BibT_eX]

[DOI]

Yihong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Simulated Adversarial Testing of Face Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Simple Data Mixing Prior for Improving Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransMix: Attend to Mix for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Point-Level Region Contrast for Object Detection Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Masked Feature Prediction for Self-Supervised Visual Pre-Training.

[BibT_eX]

[DOI]

Christoph Feichtenhofer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning Road Scene-level Representations via Semantic Region Prediction.

[BibT_eX]

[DOI]

Zihao Xiao

Yi-Ting Chen

Proceedings of the Conference on Robot Learning, 2022

2021

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Deep Differentiable Random Forests for Age Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Deep Nets: What have They Ever Done for Vision?

[BibT_eX]

[DOI]

Chenxi Liu

Int. J. Comput. Vis., 2021

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification.

[BibT_eX]

[DOI]

CoRR, 2021

PartImageNet: A Large, High-Quality Dataset of Parts.

[BibT_eX]

[DOI]

CoRR, 2021

ROBIN : A Benchmark for Robustness to Individual Nuisancesin Real-World Out-of-Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2021

In-painting Radiography Images for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

iBOT: Image BERT Pre-Training with Online Tokenizer.

[BibT_eX]

[DOI]

CoRR, 2021

A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Data, Assemble: Leveraging Multiple Datasets with Heterogeneous and Partial Labels.

[BibT_eX]

[DOI]

CoRR, 2021

RobustART: Benchmarking Robustness on Architecture Design and Training Techniques.

[BibT_eX]

[DOI]

CoRR, 2021

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms.

[BibT_eX]

[DOI]

CoRR, 2021

DeepLab2: A TensorFlow Library for Deep Labeling.

[BibT_eX]

[DOI]

CoRR, 2021

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.

[BibT_eX]

[DOI]

Gianpaolo Carrafiello

Anna Ierardi

Holger Roth

CoRR, 2021

DualNorm-UNet: Incorporating Global and Local Statistics for Robust Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models.

[BibT_eX]

[DOI]

CoRR, 2021

TransFG: A Transformer Architecture for Fine-grained Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations.

[BibT_eX]

[DOI]

Seyoun Park

Elliot K. Fishman

CoRR, 2021

Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping.

[BibT_eX]

[DOI]

CoRR, 2021

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Occluded Video Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification.

[BibT_eX]

[DOI]

Ju He

CoRR, 2021

Glance-and-Gaze Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Are Transformers more robust than CNNs?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation.

[BibT_eX]

[DOI]

Angtian Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

Shape-Texture Debiased Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

CO2: Consistent Contrast for Unsupervised Visual Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Nuisance-Label Supervision: Robustness Improvement by Free Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving.

[BibT_eX]

[DOI]

Xiaodong Yang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mask Guided Matting via Progressive Refinement Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution.

[BibT_eX]

[DOI]

Siyuan Qiao

Liang-Chieh Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Pillar Motion Learning for Autonomous Driving.

[BibT_eX]

[DOI]

Xiaodong Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deeply Shape-Guided Cascade for Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Three-dimensional pose discrimination in natural images of humans.

[BibT_eX]

[DOI]

Hongru Zhu

Daniel J. Kersten

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Visual Analogy: Deep Learning Versus Compositional Models.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Compositional Generative Networks and Robustness to Perceptible Image Changes.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

Searching for TrioNet: Combining Convolution with Local and Global Self-Attention.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

DASZL: Dynamic Action Signatures for Zero-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Unsupervised learning of optical flow with patch consistency and occlusion estimation.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.

[BibT_eX]

[DOI]

Medical Image Anal., 2020

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT.

[BibT_eX]

[DOI]

J. Digit. Imaging, 2020

Meticulous Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Part Discovery via Feature Alignment.

[BibT_eX]

[DOI]

CoRR, 2020

Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Batch Normalization with Enhanced Linear Transformation.

[BibT_eX]

[DOI]

CoRR, 2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?

[BibT_eX]

[DOI]

CoRR, 2020

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2020

Weakly-Supervised Amodal Instance Segmentation with Compositional Priors.

[BibT_eX]

[DOI]

Yihong Sun

CoRR, 2020

CoKe: Localized Contrastive Learning for Robust Keypoint Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Smooth Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.

[BibT_eX]

[DOI]

CoRR, 2020

Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network.

[BibT_eX]

[DOI]

CoRR, 2020

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.

[BibT_eX]

[DOI]

CoRR, 2020

Resisting Large Data Variations via Introspective Transformation Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Robust Face Detection via Learning Small Faces on Hard Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Adversarial Examples for Edge Detection: They Exist, and They Transfer.

[BibT_eX]

[DOI]

Christian Cosgrove

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Probabilistic Multi-modal Trajectory Prediction with Lane Attention for Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Intriguing Properties of Adversarial Training at Scale.

[BibT_eX]

[DOI]

Cihang Xie

Proceedings of the 8th International Conference on Learning Representations, 2020

AtomNAS: Fine-Grained End-to-End Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

PatchAttack: A Black-Box Texture-Based Attack with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

TDMPNet: Prototype Network with Recurrent Top-Down Modulation for Robust Object Classification Under Partial Occlusion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Are Labels Necessary for Neural Architecture Search?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Examples Improve Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Distance Transform for Tubular Structure Segmentation in CT Scans.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Robust Object Detection Under Occlusion With Context-Aware CompositionalNets.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning From Synthetic Animals.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Identity Preserve Transform: Understand What Activity Classification Models Have Learnt.

[BibT_eX]

[DOI]

Jialing Lyu

Weichao Qiu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Context-Aware Group Captioning via Self-Attention and Contrastive Features.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Neural Architecture Search for Lightweight Non-Local Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Universal Physical Camouflage Attacks on Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

When Radiology Report Generation Meets Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Identifying Model Weakness with Adversarial Examiner.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Transferable Adversarial Examples via Ghost Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust 3D Human Pose Estimation from Single Images or Video Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Identity Preserve Transform: Understand What Activity Classification Models Have Learnt.

[BibT_eX]

[DOI]

CoRR, 2019

Car Pose in Context: Accurate Pose Estimation with Ground Plane Constraints.

[BibT_eX]

[DOI]

CoRR, 2019

Zero-shot Recognition of Complex Action Sequences.

[BibT_eX]

[DOI]

CoRR, 2019

RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Shape-aware Feature Extraction for Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Rethinking Normalization and Elimination Singularity in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors.

[BibT_eX]

[DOI]

CoRR, 2019

TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion.

[BibT_eX]

[DOI]

CoRR, 2019

Intriguing properties of adversarial training.

[BibT_eX]

[DOI]

Cihang Xie

CoRR, 2019

Compositional Convolutional Networks For Robust Object Classification under Occlusion.

[BibT_eX]

[DOI]

CoRR, 2019

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models.

[BibT_eX]

[DOI]

Hongru Zhu

Peng Tang

CoRR, 2019

Thickened 2D Networks for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Weight Standardization.

[BibT_eX]

[DOI]

CoRR, 2019

Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2019

Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Lesion Detection by Efficiently Bridging 3D Context.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Joint Shape Representation and Classification for Detecting PDAC.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Structured Prediction using cGANs with Fusion Discriminator.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Localizing Occluders with Compositional Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Grouped Spatial-Temporal Aggregation for Efficient Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

An Alarm System for Segmentation Algorithm Based on Shape Model.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

CRAVES: Controlling Robotic Arm With a Vision-Based Economic System.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adversarial Attacks Beyond the Image Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Snapshot Distillation: Teacher-Student Optimization in One Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Transferability of Adversarial Examples With Input Diversity.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Feature Denoising for Improving Adversarial Robustness.

[BibT_eX]

[DOI]

Cihang Xie

Yuxin Wu

Laurens van der Maaten

Kaiming He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

ELASTIC: Improving CNNs With Dynamic Scaling Policies.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Patch-based 3D Human Pose Refinement.

[BibT_eX]

[DOI]

Qingfu Wan

Weichao Qiu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Elastic Boundary Projection for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Seeing the Meaning: Vision Meets Semantics in Solving Pictorial Analogy Problems.

[BibT_eX]

[DOI]

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Basis Representation to Refine 3D Human Pose Estimations.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on 3D Vision, 2019

Learning to Refine 3D Human Pose Sequences.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on 3D Vision, 2019

2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

Guest Editorial Introduction to the Special Issue on Large Scale and Nonlinear Similarity Learning for Intelligent Video Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Ground-Truth Data Set and Baseline Evaluations for Base-Detail Separation Algorithms at the Part Level.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

A Novel Linelet-Based Representation for Line Segment Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

FIPIP: A novel fine-grained parallel partition based intra-frame prediction on heterogeneous many-core systems.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

ELASTIC: Improving CNNs with Instance Specific Scaling Policies.

[BibT_eX]

[DOI]

CoRR, 2018

Elastic Boundary Projection for 3D Medical Imaging Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Progressive Recurrent Learning for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2018

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Rethinking Monocular Depth Estimation with Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2018

Spatial Transformer Introspective Neural Network.

[BibT_eX]

[DOI]

CoRR, 2018

Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students.

[BibT_eX]

[DOI]

CoRR, 2018

Semi-supervised multi-organ segmentation via multi-planar co-training.

[BibT_eX]

[DOI]

CoRR, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Adversarial Attacks and Defences Competition.

[BibT_eX]

[DOI]

CoRR, 2018

Improving Transferability of Adversarial Examples with Input Diversity.

[BibT_eX]

[DOI]

CoRR, 2018

NDDR-CNN: Layer-wise Feature Fusing in Multi-Task CNN by Neural Discriminative Dimensionality Reduction.

[BibT_eX]

[DOI]

CoRR, 2018

Scene Graph Parsing as Dependency Parsing.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation.

[BibT_eX]

[DOI]

Vijaykrishnan Narayanan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Gradually Updated Neural Networks for Large-Scale Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Mitigating Adversarial Effects Through Randomization.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-scale Spatially-Asymmetric Recalibration for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Weakly Supervised Region Proposal Network and Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Co-Training for Semi-Supervised Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Progressive Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Single-Shot Object Detection With Enriched Semantics.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Few-Shot Image Recognition by Predicting Parameters From Activations.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Regression Forests for Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

OriNet: A Fully Convolutional Network for 3D Human Pose Estimation.

[BibT_eX]

[DOI]

Xiao Chu

Proceedings of the British Machine Vision Conference 2018, 2018

SampleAhead: Online Classifier-Sampler Communication for Learning from Synthesized Data.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on 3D Vision, 2018

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

DeepSkeleton: Learning Multi-Task Scale-Associated Deep Side Outputs for Object Skeleton Extraction in Natural Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Semi-Supervised Sparse Representation Based Classification for Face Recognition With Insufficient Labeled Samples.

[BibT_eX]

[DOI]

Jiayi Ma

IEEE Trans. Image Process., 2017

Empirical Minimum Bayes Risk Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Editorial- Deep Learning for Computer Vision.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2017

Progressive Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2017

A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation.

[BibT_eX]

[DOI]

CoRR, 2017

Unleashing the Potential of CNNs for Interpretable Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Visual Concepts and Compositional Voting.

[BibT_eX]

[DOI]

CoRR, 2017

DeepVoting: An Explainable Framework for Semantic Part Detection under Partial Occlusion.

[BibT_eX]

[DOI]

CoRR, 2017

Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Collaborative Learning for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

SORT: Second-Order Response Transform for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

Transferring Face Verification Nets To Pain and Expression Regression.

[BibT_eX]

[DOI]

CoRR, 2017

Generating Multiple Hypotheses for Human 3D Pose Consistent with 2D Joint Detections.

[BibT_eX]

[DOI]

Ehsan Jahangiri

CoRR, 2017

PASCAL Boundaries: A Semantic Boundary Dataset with a Deep Semantic Boundary Detector.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Label Distribution Learning Forests.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

NormFace: L2 Hypersphere Embedding for Face Verification.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Object Recognition with and without Objects.

[BibT_eX]

[DOI]

Zhuotun Zhu

Lingxi Xie

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

MAT: A Multimodal Attentive Translator for Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Transfer of View-manifold Learning to Similarity Perception of Novel Objects.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Regularizing face verification nets for pain intensity regression.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Generating Multiple Diverse Hypotheses for Human 3D Pose Consistent with 2D Joint Detections.

[BibT_eX]

[DOI]

Ehsan Jahangiri

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Genetic CNN.

[BibT_eX]

[DOI]

Lingxi Xie

Proceedings of the IEEE International Conference on Computer Vision, 2017

Adversarial Examples for Semantic Segmentation and Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

SORT: Second-Order Response Transform for Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Recurrent Multimodal Interaction for Referring Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Joint Multi-person Pose Estimation and Semantic Part Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-context Attention for Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Exploiting Protrusion Cues for Fast and Effective Shape Modeling via Ellipses.

[BibT_eX]

[DOI]

Alex Wong

Brian Taylor

Proceedings of the British Machine Vision Conference 2017, 2017

Detecting Semantic Parts on Partially Occluded Objects.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

Multiple Instance Visual-Semantic Embedding.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

Attention Correctness in Neural Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Non-Rigid Point Set Registration by Preserving Global and Local Structures.

[BibT_eX]

[DOI]

Jiayi Ma

Ji Zhao

IEEE Trans. Image Process., 2016

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach.

[BibT_eX]

[DOI]

CoRR, 2016

UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision.

[BibT_eX]

[DOI]

CoRR, 2016

A Bayesian Theory of Sequential Causal Learning and Abstract Transfer.

[BibT_eX]

[DOI]

Cogn. Sci., 2016

Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

SURGE: Surface Regularized Geometry Estimation from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Joint Image-Text Representation by Gaussian Visual-Semantic Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

DOC: Deep OCclusion Estimation from a Single Image.

[BibT_eX]

[DOI]

Peng Wang

Proceedings of the Computer Vision - ECCV 2016, 2016

UnrealCV: Connecting Computer Vision to Unreal Engine.

[BibT_eX]

[DOI]

Weichao Qiu

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Symmetric Non-rigid Structure from Motion for Category-Specific Object Structure Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

InterActive: Inter-Layer Activeness Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Mining 3D Key-Pose-Motifs for Action Recognition.

[BibT_eX]

[DOI]

Chun-yu Wang

Yizhou Wang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Generation and Comprehension of Unambiguous Object Descriptions.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Attention to Scale: Scale-Aware Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Pose-Guided Human Parsing by an AND/OR Graph Using Pose-Context Features.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Recognizing Actions in 3D Using Action-Snippets and Activated Simplices.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Robust L2E Estimation of Transformation for Non-Rigid Registration.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

DeePM: A Deep Part-Based Model for Object Detection and Semantic Part Localization.

[BibT_eX]

[DOI]

Jun Zhu

Xianjie Chen

CoRR, 2015

Pose-Guided Human Parsing with Deep Learned Features.

[BibT_eX]

[DOI]

CoRR, 2015

Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net.

[BibT_eX]

[DOI]

CoRR, 2015

Discovering Internal Representations from Object-CNNs Using Population Encoding.

[BibT_eX]

[DOI]

CoRR, 2015

DOC: Deep OCclusion Recovering From A Single Image.

[BibT_eX]

[DOI]

Peng Wang

CoRR, 2015

Multi-Instance Visual-Semantic Embedding.

[BibT_eX]

[DOI]

CoRR, 2015

PASCAL Boundaries: A Class-Agnostic Semantic Boundary Dataset.

[BibT_eX]

[DOI]

Vittal Premachandran

Boyan Bonev

CoRR, 2015

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN).

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.

[BibT_eX]

[DOI]

CoRR, 2015

Fidelity-Naturalness Evaluation of Single Image Super Resolution.

[BibT_eX]

[DOI]

CoRR, 2015

Learning Deep Structured Models.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Error Factor Analysis for Wild Scene Image-Labelling.

[BibT_eX]

[DOI]

Peng Wang

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Temporally consistent region-based video exposure correction.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

One Shot Learning via Compositions of Meaningful Patches.

[BibT_eX]

[DOI]

Alex Wong

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Joint Object and Part Segmentation Using Deep Learned Potentials.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Scene-Domain Active Part Models for Object Representation.

[BibT_eX]

[DOI]

Zhou Ren

Chaohui Wang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Modeling deformable gradient compositions for single-image super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Semantic part segmentation using compositional model combining shape and appearance.

[BibT_eX]

[DOI]

Jianyu Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Towards unified depth and semantic prediction from a single image.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Region-based temporally consistent video post-processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Parsing occluded people by flexible compositions.

[BibT_eX]

[DOI]

Xianjie Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Computational Model of Jazz Improvisation Inspired by Language.

[BibT_eX]

[DOI]

Cody Komers

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

Robust Point Matching via Vector Field Consensus.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD.

[BibT_eX]

[DOI]

NeuroImage, 2014

Guest Editorial: Geometry, Lighting, Motion, and Learning.

[BibT_eX]

[DOI]

Jiebo Luo

Int. J. Comput. Vis., 2014

A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2014

Representing Data by a Mixture of Activated Simplices.

[BibT_eX]

[DOI]

CoRR, 2014

Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding.

[BibT_eX]

[DOI]

CoRR, 2014

Explain Images with Multimodal Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2014

Scale-Space SIFT flow.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm.

[BibT_eX]

[DOI]

Jun Zhu

Junhua Mao

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Articulated Pose Estimation by a Graphical Model with Image Dependent Pairwise Relations.

[BibT_eX]

[DOI]

Xianjie Chen

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

An Active Patch Model for Real World Texture and Appearance Classification.

[BibT_eX]

[DOI]

Junhua Mao

Jun Zhu

Proceedings of the Computer Vision - ECCV 2014, 2014

Towards Unified Object Detection and Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

A Fast and Simple Algorithm for Producing Candidate Regions.

[BibT_eX]

[DOI]

Boyan Bonev

Proceedings of the Computer Vision - ECCV 2014, 2014

Single Image Super-resolution Using Deformable Patches.

[BibT_eX]

[DOI]

Yu Zhu

Yanning Zhang

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Estimation of 3D Human Poses from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Modeling Image Patches with a Generic Dictionary of Mini-epitomes.

[BibT_eX]

[DOI]

Liang-Chieh Chen

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

The Role of Context for Object Detection and Semantic Segmentation in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

The Secrets of Salient Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency.

[BibT_eX]

[DOI]

Wenhao Lu

Xiaochen Lian

Proceedings of the British Machine Vision Conference, 2014

2013

Adaptive occlusion state estimation for human pose tracking under self-occlusions.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

A Meta-Theory of Boundary Detection Benchmarks

[BibT_eX]

[DOI]

Xiaodi Hou

Christof Koch

CoRR, 2013

Complexity of Representation and Inference in Compositional Models with Part Sharing

[BibT_eX]

[DOI]

Roozbeh Mottaghi

Proceedings of the 1st International Conference on Learning Representations, 2013

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling.

[BibT_eX]

[DOI]

Liang-Chieh Chen

Proceedings of the IEEE International Conference on Computer Vision, 2013

An Approach to Pose-Based Action Recognition.

[BibT_eX]

[DOI]

Chunyu Wang

Yizhou Wang

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Robust Estimation of Nonrigid Transformation for Point Set Registration.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Robust Region Grouping via Internal Patch Statistics.

[BibT_eX]

[DOI]

Xiaobai Liu

Liang Lin

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Boundary Detection Benchmarking: Beyond F-Measures.

[BibT_eX]

[DOI]

Xiaodi Hou

Christof Koch

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Bottom-Up Segmentation for Top-Down Detection.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Recursive Segmentation and Recognition Templates for Image Parsing.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2012

A Family of CCCP Algorithms Which Minimize the TRW Free Energy.

[BibT_eX]

[DOI]

Yu Nishiyama

Xingyao Ye

New Gener. Comput., 2012

Computer vision needs a core and foundations.

[BibT_eX]

[DOI]

Image Vis. Comput., 2012

Self-occlusion robust 3D human pose tracking from monocular image sequence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011

Performance comparison of machine learning algorithms and number of independent components used in fMRI decoding of belief vs. disbelief.

[BibT_eX]

[DOI]

NeuroImage, 2011

Recursive Compositional Models for Vision: Description and Review of Recent Work.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2011

Large sample group independent component analysis of functional magnetic resonance imaging using anatomical atlas-based reduction and bootstrapped clustering.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 2011

Max Margin Learning of Hierarchical Configural Deformable Templates (HCDTs) for Efficient Object Parsing and Pose Estimation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2011

Inference and Learning with Hierarchical Shape Models.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2011

AdaBoost for Text Detection in Natural Scene.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Towards a theory of compositional learning and encoding of objects.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Learning a dictionary of deformable patches using GPUs.

[BibT_eX]

[DOI]

Xingyao Ye

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Efficient variational inference in large-scale Bayesian compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

A compositional approach to learning part-based models of objects.

[BibT_eX]

[DOI]

Roozbeh Mottaghi

Ananth Ranganathan

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Computing importance of 2D contour parts by reconstructability.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Perturb-and-MAP random fields: Using discrete optimization to learn and sample from energy models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Nonflat observation model and adaptive depth order estimation for 3D human pose tracking.

[BibT_eX]

[DOI]

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Classification of spatially unaligned fMRI scans.

[BibT_eX]

[DOI]

NeuroImage, 2010

Detecting object boundaries using low-, mid-, and high-level information.

[BibT_eX]

[DOI]

Songfeng Zheng

Comput. Vis. Image Underst., 2010

A unified model of short-range and long-range motion perception.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Gaussian sampling by local perturbations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Functional form of motion priors in human motion perception.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Occlusion Boundary Detection Using Pseudo-depth.

[BibT_eX]

[DOI]

Xuming He

Proceedings of the Computer Vision, 2010

Active Mask Hierarchies for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2010, 2010

Latent hierarchical structural learning for object detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Part and appearance sharing: Recursive Compositional Models for multi-view.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Modeling the spacing effect in sequential category learning.

[BibT_eX]

[DOI]

Matthew Weiden

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Compositional noisy-logical learning.

[BibT_eX]

[DOI]

Songfeng Zheng

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Recursive compositional models: Representation, learning, and inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

Inference and learning with hierarchical compositional models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

HOP: Hierarchical object parsing.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Sobolev gradients and joint variational image segmentation, denoising, and deblurring.

[BibT_eX]

[DOI]

Miyoun Jung

Ginmo Chung

Ganesh Sundaramoorthi

Luminita A. Vese

Proceedings of the Computational Imaging VII, 2009

2008

Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2008

Shape matching and registration by data-driven EM.

[BibT_eX]

[DOI]

Songfeng Zheng

Comput. Vis. Image Underst., 2008

Recursive Segmentation and Recognition Templates for 2D Parsing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Model selection and velocity estimation using novel priors for motion patterns.

[BibT_eX]

[DOI]

Shuang Wu

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Hierarchical segmentation of malignant gliomas via integrated contextual filter response.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2008: Image Processing, 2008

MRF Labeling with a Graph-Shifts Algorithm.

[BibT_eX]

[DOI]

Jason J. Corso

Proceedings of the Combinatorial Image Analysis, 12th International Workshop, 2008

Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2008

Motion Integration Using Competitive Priors.

[BibT_eX]

[DOI]

Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

08291 Abstracts Collection - Statistical and Geometrical Approaches to Visual Motion Analysis.

[BibT_eX]

[DOI]

Daniel Cremers

Bodo Rosenhahn

Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 13.07., 2008

Structure-perceptron learning of a hierarchical log-linear model.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Max Margin AND/OR Graph learning for parsing the human body.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Scale invariance without scale selection.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Graph-shifts: Natural image labeling by dynamic hierarchical computing.

[BibT_eX]

[DOI]

Jason J. Corso

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2007

The Noisy-Logical Distribution and its Application to Causal Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Rapid Inference on a Novel AND/OR graph for Object Detection, Segmentation and Parsing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Detection and Segmentation of Pathological Structures by the Extended Graph-Shifts Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2007

Unsupervised Learning of Object Deformation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Multilevel Segmentation and Integrated Bayesian Model Classification with an Application to Brain Tumor Segmentation.

[BibT_eX]

[DOI]

Jason J. Corso

Eitan Sharon

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Bottom-Up & Top-down Object Detection using Primal Sketch Features and Graphical Models.

[BibT_eX]

[DOI]

Petros Maragos

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Image Parsing: Unifying Segmentation, Detection, and Recognition.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2005

The DLR Hierarchy of Approximate Inference.

[BibT_eX]

[DOI]

Michal Rosen-Zvi

Michael I. Jordan

Proceedings of the UAI '05, 2005

A Hierarchical Compositional System for Rapid Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Augmented Rescorla-Wagner and Maximum Likelihood Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Ideal Observers for Detecting Motion: Correspondence Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Time-Efficient Cascade for Real-Time Object Detection: With applications for the visually impaired.

[BibT_eX]

[DOI]

Xiangrong Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004

The Convergence of Contrastive Divergences.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

The Rescorla-Wagner Algorithm and Maximum Likelihood Estimation of Causal Parameters.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Shape Matching and Recognition - Using Generative Models and Informative Features.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2004

Detecting and Reading Text in Natural Scenes.

[BibT_eX]

[DOI]

Xiangrong Chen

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

Motion Estimation by Swendsen-Wang Cuts.

[BibT_eX]

[DOI]

Adrian Barbu

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

The Generic Viewpoint Assumption and Planar Bias.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2003

Statistical Edge Detection: Learning and Evaluating Edge Cues.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2003

The Concave-Convex Procedure.

[BibT_eX]

[DOI]

Neural Comput., 2003

Manhattan World: Orientation and Outlier Detection by Bayesian Inference.

[BibT_eX]

[DOI]

Neural Comput., 2003

A statistical approach to multi-scale edge detection.

[BibT_eX]

[DOI]

Image Vis. Comput., 2003

Algorithms from statistical physics for generative models of images.

[BibT_eX]

[DOI]

Image Vis. Comput., 2003

Human and Ideal Observers for Detecting Image Curves.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

A Bayesian Network Framework for Relational Shape Matching.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

A Generative Model Based Approach to Motion Segmentation.

[BibT_eX]

[DOI]

Daniel Cremers

Proceedings of the Pattern Recognition, 2003

2002

CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation.

[BibT_eX]

[DOI]

Neural Comput., 2002

Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking.

[BibT_eX]

[DOI]

Neural Comput., 2002

2001

Introduction by Guest Editors.

[BibT_eX]

[DOI]

David Mumford

Int. J. Comput. Vis., 2001

Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2001

The Concave-Convex Procedure (CCCP).

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

The g Factor: Relating Distributions on Features to Distributions on Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

The KGBR Viewpoint-Lighting Ambiguity and its Resolution by Generic Constraints.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

A Double-Loop Algorithm to Minimize the Bethe Free Energy.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

2000

An A* perspective on deterministic optimization for deformable templates.

[BibT_eX]

[DOI]

Pattern Recognit., 2000

Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2000

Probabilistic Motion Estimation Based on Temporal Coherence.

[BibT_eX]

[DOI]

Pierre-Yves Burgi

Neural Comput., 2000

Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I.

[BibT_eX]

[DOI]

David Mumford

Int. J. Comput. Vis., 2000

Efficient Deformable Template Detection and Localization without User Initialization.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2000

The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help?

[BibT_eX]

[DOI]

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

Statistical cues for Domain Specific Image Segmentation with Performance Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999

Convergence Properties of the Softassign Quadratic Assignment Algorithm.

[BibT_eX]

[DOI]

Eric Mjolsness

Neural Comput., 1999

Determining Generative Models of Objects Under Varying Illumination: Shape and Albedo from Multiple Images Using SVD and Integrability.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1999

The Bas-Relief Ambiguity.

[BibT_eX]

[DOI]

David J. Kriegman

Int. J. Comput. Vis., 1999

Shadows, Shading, and Projective Ambiguity.

[BibT_eX]

[DOI]

David J. Kriegman

Proceedings of the Shape, Contour and Grouping in Computer Vision, 1999

Manhattan World: Compass Direction from a Single Image by Bayesian Inference.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computer Vision, 1999

Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

High-Level and Generic Models for Visual Search: When Does High Level Knowledge Help?

[BibT_eX]

[DOI]

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues.

[BibT_eX]

[DOI]

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998

Image Warping for Shape Recovery and Recognition.

[BibT_eX]

[DOI]

Mario Ferraro

Tony Zhang

Comput. Vis. Image Underst., 1998

Convergence Rates of Algorithms for Visual Search: Detecting Visual Contours.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Segmenting by seeking the symmetry axis.

[BibT_eX]

[DOI]

Tyng-Luh Liu

Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Signfinder: Using Color to Detect, Localize and Identify Informational Signs.

[BibT_eX]

[DOI]

Daniel Snow

Mark Nitzberg

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Visual Motion Estimation and Prediction: A Probabilistic Network Model for Temporal Coherence.

[BibT_eX]

[DOI]

Pierre-Yves Burgi

Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

Efficient Optimization of a Deformable Template Using Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1997

Relating Image Warping to 3D Geometrical Deformations.

[BibT_eX]

[DOI]

Mario Ferraro

Tony Zhang

Proceedings of the Image Analysis and Processing, 9th International Conference, 1997

Twenty Questions, Focus of Attention, and A*: A Theoretical Comparison of Optimization Strategies.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

Shape and albedo from multiple images using integrability.

[BibT_eX]

[DOI]

Daniel Snow

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

Surface Shape from Warping.

[BibT_eX]

[DOI]

Mario Ferraro

Tony Zhang

Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1996

Dimension reduction, generalized deformable models and the development of ocularity and orientation.

[BibT_eX]

[DOI]

James A. Kolodny

C. W. Lee

Neural Networks, 1996

FORMS: A flexible object recognition and modelling system.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1996

A Convergence Proof for the Softassign Quadratic Assignment Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Learning Object Representation form Lighting Variations.

[BibT_eX]

[DOI]

Russell Epstein

Proceedings of the Object Representation in Computer Vision II, 1996

1995

Robust principal component analysis by self-organizing rules based on statistical physics approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1995

Bayesian Self-Organization Driven by Prior Probability Distributions.

[BibT_eX]

[DOI]

Stelios M. Smirnakis

Neural Comput., 1995

Occlusions and binocular stereo.

[BibT_eX]

[DOI]

Bruce Ladendorf

Int. J. Comput. Vis., 1995

Multilevel Enhancement and Detection of Stereo Disparity Surfaces.

[BibT_eX]

[DOI]

Artif. Intell., 1995

Parameterized Surface Fitting via MAP Estimation for Binocular Stereo.

[BibT_eX]

[DOI]

Michael J. Weisman

James J. Clark

Proceedings of the 1995 International Conference on Robotics and Automation, 1995

Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation.

[BibT_eX]

[DOI]

Tai Sing Lee

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

Recovering Object Surfaces from Viewed Changes in Surface Texture Patterns.

[BibT_eX]

[DOI]

Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

1994

On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size.

[BibT_eX]

[DOI]

Adam Krzyzak

Neural Networks, 1994

Spatiotemporal information storage in a content addressable memory using realistic neurons.

[BibT_eX]

[DOI]

Masakazu Matsugu

Neural Networks, 1994

The invisible hand algorithm: Solving the assignment problem with statistical physics.

[BibT_eX]

[DOI]

J. J. Kosowsky

Neural Networks, 1994

Statistical Physics, Mixtures of Distributions, and the EM Algorithm.

[BibT_eX]

[DOI]

Paul E. Stolorz

Joachim Utans

Neural Comput., 1994

Statistical Physics Algorithms That Converge.

[BibT_eX]

[DOI]

J. J. Kosowsky

Neural Comput., 1994

A Framework for Shape Representation and Recognition.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Training a General Purpose Deformable Template.

[BibT_eX]

[DOI]

Russell Epstein

Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993

Impossible Shaded Images.

[BibT_eX]

[DOI]

Berthold K. P. Horn

Richard Szeliski

IEEE Trans. Pattern Anal. Mach. Intell., 1993

Mean-field phase transitions and correlation functions for Gibbs random fields.

[BibT_eX]

[DOI]

Ibrahim M. Elfadel

J. Math. Imaging Vis., 1993

Bayesian Self-Organization.

[BibT_eX]

[DOI]

Stelios M. Smirnakis

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Multilevel Detection of Stereo Disparity Surfaces.

[BibT_eX]

[DOI]

Proceedings of the Partitioning Data Sets, Proceedings of a DIMACS Workshop, 1993

Local, global, and multilevel stereo matching.

[BibT_eX]

[DOI]

Jie Lu

Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

1992

Statistical morphology and Bayesian reconstruction.

[BibT_eX]

[DOI]

Luc Vincent

J. Math. Imaging Vis., 1992

Recent Advances on Techniques of Static Feedforward Networks with Supervised Learning.

[BibT_eX]

[DOI]

Stan Klasa

Int. J. Neural Syst., 1992

Feature extraction from faces using deformable templates.

[BibT_eX]

[DOI]

Peter W. Hallinan

David S. Cohen

Int. J. Comput. Vis., 1992

Self-Organizing Rules for Robust Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model.

[BibT_eX]

[DOI]

Tai Sing Lee

David Mumford

Proceedings of the Computer Vision, 1992

Grouping Iso-Velocity Points for Ego-Motion Recovery.

[BibT_eX]

[DOI]

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

A common framework for image segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1991

Sources from shading.

[BibT_eX]

[DOI]

Yihing Yang

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1991

1990

Generalized Deformable Models, Statistical Physics, and Matching Problems.

[BibT_eX]

[DOI]

Neural Comput., 1990

Stereo and controlled movement.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1990

3D symmetry-curvature duality theorems.

[BibT_eX]

[DOI]

Michael Leyton

Comput. Vis. Graph. Image Process., 1990

Shape from shading via the fusion of specular and Lambertian image components.

[BibT_eX]

[DOI]

James J. Clark

Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

Stereo Integration, Mean Field Theory and Psychophysics.

[BibT_eX]

[DOI]

Heinrich H. Bülthoff

Proceedings of the Computer Vision, 1990

Deformable Templates for Feature Extraction from Medical Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 1990

A Model for the Estimate of Local Velocity.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 1990

1989

A Winner-Take-All Mechanism Based on Presynaptic Inhibition Feedback.

[BibT_eX]

[DOI]

Neural Comput., 1989

An Analysis of the Elastic Net Approach to the Traveling Salesman Problem.

[BibT_eX]

[DOI]

Richard Durbin

Richard Szeliski

Neural Comput., 1989

A mathematical analysis of the motion coherence theory.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 1989

Zero crossings on lines of curvature.

[BibT_eX]

[DOI]

Comput. Vis. Graph. Image Process., 1989

A depth recovery algorithm using defocus information.

[BibT_eX]

[DOI]

Ten-lee Hwang

James J. Clark

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1989

1988

Spontaneous symmetry-breaking energy functions, orientation selective cortical cells, and hypercolumnar cell assemblies.

[BibT_eX]

[DOI]

Daniel M. Kammen

Neural Networks, 1988

A regularized solution to edge detection.

[BibT_eX]

[DOI]

Tomaso A. Poggio

Harry Voorhees

J. Complex., 1988

The Motion Coherence Theory.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Computer Vision, 1988

The Creation Of Structure In Dynamic Shape.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Computer Vision, 1988

Determining The Optimal Weights In Multiple Objective Function Optimization.

[BibT_eX]

[DOI]

Michael A. Gennert

Proceedings of the Second International Conference on Computer Vision, 1988

1986

Scaling Theorems for Zero Crossings.

[BibT_eX]

[DOI]

Tomaso A. Poggio

IEEE Trans. Pattern Anal. Mach. Intell., 1986

1985

Describing surfaces.

[BibT_eX]

[DOI]

Comput. Vis. Graph. Image Process., 1985

1984

An Extremum Principle for Shape from Contour.

[BibT_eX]

[DOI]

Michael Brady

IEEE Trans. Pattern Anal. Mach. Intell., 1984

The Smoothest Velocity Field Token Matching Schemes.

[BibT_eX]

Proceedings of the Advances in Artificial Intelligence, 1984

Fingerprints Theorems.

[BibT_eX]

[DOI]