Hongsheng Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediction Tasks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

GiT: Towards Generalist Vision Transformer Through Universal Language Interface.

[BibT_eX]

[DOI]

Muhammad Ferjad Naeem

Bernt Schiele

Liwei Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

Any2Point: Empowering Any-Modality Large Models for Efficient 3D Understanding.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LMDrive: Closed-Loop End-to-End Driving with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GLID: Pre-training a Generalist Encoder-Decoder Vision Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DiffInDScene: Diffusion-Based High-Quality 3D Indoor Scene Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Empowering Character-level Text Infilling by Eliminating Sub-Tokens.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Teach-DETR: Better Training DETR With Teachers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Hippocampus segmentation after brain tumor resection via postoperative region synthesis.

[BibT_eX]

[DOI]

BMC Medical Imaging, December, 2023

Predicting cancer outcomes from whole slide images via hybrid supervision learning.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

A Holistically-Guided Decoder for Deep Representation Learning With Applications to Semantic Segmentation and Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

UniFormer: Unifying Convolution and Self-Attention for Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

3D Object Detection for Autonomous Driving: A Comprehensive Survey.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., August, 2023

ST3D++: Denoised Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Refined probability distribution module for fine-grained visual categorization.

[BibT_eX]

[DOI]

Neurocomputing, 2023

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2023

Ponymation: Learning 3D Animal Motions from Unlabeled Online Videos.

[BibT_eX]

[DOI]

CoRR, 2023

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise.

[BibT_eX]

[DOI]

CoRR, 2023

LMDrive: Closed-Loop End-to-End Driving with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence Generation.

[BibT_eX]

[DOI]

CoRR, 2023

ViLaM: A Vision-Language Model with Enhanced Visual Grounding and Generalization Capability.

[BibT_eX]

[DOI]

CoRR, 2023

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Large-scale Masked Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

ImageBind-LLM: Multi-modality Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

[BibT_eX]

[DOI]

CoRR, 2023

Tiny LVLM-eHub: Early Multimodal Experiments with Bard.

[BibT_eX]

[DOI]

CoRR, 2023

Meta-Transformer: A Unified Framework for Multimodal Learning.

[BibT_eX]

[DOI]

CoRR, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

FlowFormer: A Transformer Architecture and Its Masked Cost Volume Autoencoding for Optical Flow.

[BibT_eX]

[DOI]

CoRR, 2023

Context-TAP: Tracking Any Point Demands Spatial Context Features.

[BibT_eX]

[DOI]

CoRR, 2023

Denoising Diffusion Semantic Segmentation with Mask Prior Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation with Occupancy Prior.

[BibT_eX]

[DOI]

CoRR, 2023

Voxel2Hemodynamics: An End-to-end Deep Learning Method for Predicting Coronary Artery Hemodynamics.

[BibT_eX]

[DOI]

CoRR, 2023

Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

[BibT_eX]

[DOI]

CoRR, 2023

Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model.

[BibT_eX]

[DOI]

CoRR, 2023

Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network.

[BibT_eX]

[DOI]

CoRR, 2023

Personalize Segment Anything Model with One Shot.

[BibT_eX]

[DOI]

CoRR, 2023

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

[BibT_eX]

[DOI]

CoRR, 2023

Perception Imitation: Towards Synthesis-free Simulator for Autonomous Vehicles.

[BibT_eX]

[DOI]

CoRR, 2023

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Better Aligning Text-to-Image Models with Human Preference.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding.

[BibT_eX]

[DOI]

CoRR, 2023

Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking.

[BibT_eX]

[DOI]

CoRR, 2023

Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

A Unified Conditional Framework for Diffusion-based Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

JourneyDB: A Benchmark for Generative Image Understanding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context-PIPs: Persistent Independent Particles Demands Context Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

BlinkFlow: A Dataset to Push the Limits of Event-Based Optical Flow Estimation.

[BibT_eX]

[DOI]

IROS, 2023

Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SparseMAE: Sparse Training Meets Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Human Preference Score: Better Aligning Text-to-image Models with Human Preference.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Urban Radiance Field Representation with Deformable Neural Mesh Primitives.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Simulating Fluids in Real-World Still Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection.

[BibT_eX]

[DOI]

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

Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels.

[BibT_eX]

[DOI]

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

Starting from Non-Parametric Networks for 3D Point Cloud Analysis.

[BibT_eX]

[DOI]

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

Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked Autoencoders.

[BibT_eX]

[DOI]

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

Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners.

[BibT_eX]

[DOI]

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

CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching.

[BibT_eX]

[DOI]

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

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions.

[BibT_eX]

[DOI]

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

FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation.

[BibT_eX]

[DOI]

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

ReasonNet: End-to-End Driving with Temporal and Global Reasoning.

[BibT_eX]

[DOI]

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

PATS: Patch Area Transportation with Subdivision for Local Feature Matching.

[BibT_eX]

[DOI]

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

MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers.

[BibT_eX]

[DOI]

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

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks.

[BibT_eX]

[DOI]

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

A Simple Baseline for Video Restoration with Grouped Spatial-Temporal Shift.

[BibT_eX]

[DOI]

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

Adaptive Zone-aware Hierarchical Planner for Vision-Language Navigation.

[BibT_eX]

[DOI]

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

2022

NeuralMarker: A Framework for Learning General Marker Correspondence.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

Multi-Modality Self-Distillation for Weakly Supervised Temporal Action Localization.

[BibT_eX]

[DOI]

Linjiang Huang

Liang Wang

Raja Muhammad Saad Bashir

IEEE Trans. Image Process., 2022

Robust Self-Supervised LiDAR Odometry Via Representative Structure Discovery and 3D Inherent Error Modeling.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SymReg-GAN: Symmetric Image Registration With Generative Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system.

[BibT_eX]

[DOI]

Ganapathy Krishnamurthi

Medical Image Anal., 2022

Efficient Burst Raw Denoising with Variance Stabilization and Multi-frequency Denoising Network.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2022

Collaboration of Pre-trained Models Makes Better Few-shot Learner.

[BibT_eX]

[DOI]

CoRR, 2022

Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification.

[BibT_eX]

[DOI]

CoRR, 2022

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning for Action Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

No Attention is Needed: Grouped Spatial-temporal Shift for Simple and Efficient Video Restorers.

[BibT_eX]

[DOI]

CoRR, 2022

3D Object Detection for Autonomous Driving: A Review and New Outlooks.

[BibT_eX]

[DOI]

CoRR, 2022

MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

ConvMAE: Masked Convolution Meets Masked Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2022

Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis.

[BibT_eX]

[DOI]

CoRR, 2022

MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network.

[BibT_eX]

[DOI]

CoRR, 2022

Meta Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2022

Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Automatic segmentation of the clinical target volume and organs at risk for rectal cancer radiotherapy using structure-contextual representations based on 3D high-resolution network.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MCMAE: Masked Convolution Meets Masked Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Robust Face Recognition with Comprehensive Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers.

[BibT_eX]

[DOI]

Georgios Tzimiropoulos

Brais Martínez

Proceedings of the Computer Vision - ECCV 2022, 2022

TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

UniNet: Unified Architecture Search with Convolution, Transformer, and MLP.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Frozen CLIP Models are Efficient Video Learners.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Degradation Representations for Image Deblurring.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

FlowFormer: A Transformer Architecture for Optical Flow.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

MPPNet: Multi-frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.

[BibT_eX]

[DOI]

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

IDR: Self-Supervised Image Denoising via Iterative Data Refinement.

[BibT_eX]

[DOI]

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

PointCLIP: Point Cloud Understanding by CLIP.

[BibT_eX]

[DOI]

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

RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization.

[BibT_eX]

[DOI]

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

RBGNet: Ray-based Grouping for 3D Object Detection.

[BibT_eX]

[DOI]

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

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.

[BibT_eX]

[DOI]

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

Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation.

[BibT_eX]

[DOI]

Linjiang Huang

Liang Wang

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

Learning a Structured Latent Space for Unsupervised Point Cloud Completion.

[BibT_eX]

[DOI]

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

Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Unleashing the Potential of Vision-Language Models for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Task Generalizable Spatial and Texture Aware Image Downsizing Network.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

From Points to Parts: 3D Object Detection From Point Cloud With Part-Aware and Part-Aggregation Network.

[BibT_eX]

[DOI]

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

Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk.

[BibT_eX]

[DOI]

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

FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Guest editorial: Deep learning for medical image analysis.

[BibT_eX]

[DOI]

Shaoting Zhang

Dimitris N. Metaxas

Neurocomputing, 2021

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

A Simple Long-Tailed Recognition Baseline via Vision-Language Model.

[BibT_eX]

[DOI]

CoRR, 2021

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Mixed Supervision Learning for Whole Slide Image Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Scalable Transformers for Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2021

Container: Context Aggregation Network.

[BibT_eX]

[DOI]

CoRR, 2021

FNAS: Uncertainty-Aware Fast Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2021

Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Decoupled Spatial-Temporal Transformer for Video Inpainting.

[BibT_eX]

[DOI]

CoRR, 2021

LIFE: Lighting Invariant Flow Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Fixing the Teacher-Student Knowledge Discrepancy in Distillation.

[BibT_eX]

[DOI]

CoRR, 2021

Consensus-Guided Correspondence Denoising.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Attention: Attention with Linear Complexities.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DominoSearch: Find layer-wise fine-grained N: M sparse schemes from dense neural networks.

[BibT_eX]

[DOI]

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

Container: Context Aggregation Networks.

[BibT_eX]

[DOI]

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

Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification.

[BibT_eX]

[DOI]

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

Hybrid Supervision Learning for Pathology Whole Slide Image Classification.

[BibT_eX]

[DOI]

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

Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch.

[BibT_eX]

[DOI]

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

Progressive Correspondence Pruning by Consensus Learning.

[BibT_eX]

[DOI]

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

Rethinking Noise Synthesis and Modeling in Raw Denoising.

[BibT_eX]

[DOI]

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

Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation.

[BibT_eX]

[DOI]

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

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency.

[BibT_eX]

[DOI]

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

Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization.

[BibT_eX]

[DOI]

Linjiang Huang

Liang Wang

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

LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector.

[BibT_eX]

[DOI]

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

FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting.

[BibT_eX]

[DOI]

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

Fast Convergence of DETR with Spatially Modulated Co-Attention.

[BibT_eX]

[DOI]

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

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation.

[BibT_eX]

[DOI]

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

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification.

[BibT_eX]

[DOI]

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

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection.

[BibT_eX]

[DOI]

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

Inverting Generative Adversarial Renderer for Face Reconstruction.

[BibT_eX]

[DOI]

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

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization.

[BibT_eX]

[DOI]

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

VS-Net: Voting With Segmentation for Visual Localization.

[BibT_eX]

[DOI]

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

LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network.

[BibT_eX]

[DOI]

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

Semantic Scene Completion via Integrating Instances and Scene In-the-Loop.

[BibT_eX]

[DOI]

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

DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network.

[BibT_eX]

[DOI]

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

End-to-End Object Detection with Adaptive Clustering Transformer.

[BibT_eX]

[DOI]

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

REFINE: Prediction Fusion Network for Panoptic Segmentation.

[BibT_eX]

[DOI]

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

Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers.

[BibT_eX]

[DOI]

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

A Unified Multi-Scenario Attacking Network for Visual Object Tracking.

[BibT_eX]

[DOI]

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

2020

HMS-Net: Hierarchical Multi-Scale Sparsity-Invariant Network for Sparse Depth Completion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Guest Editorial: Generative Adversarial Networks for Computer Vision.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Towards Overcoming False Positives in Visual Relationship Detection.

[BibT_eX]

[DOI]

CoRR, 2020

A Holistically-Guided Decoder for Deep Representation Learning with Applications to Semantic Segmentation and Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

End-to-End Object Detection with Adaptive Clustering Transformer.

[BibT_eX]

[DOI]

CoRR, 2020

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges.

[BibT_eX]

[DOI]

CoRR, 2020

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020.

[BibT_eX]

[DOI]

CoRR, 2020

1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020.

[BibT_eX]

[DOI]

CoRR, 2020

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization.

[BibT_eX]

[DOI]

CoRR, 2020

Structured Domain Adaptation for Unsupervised Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2020

MagnifierNet: Towards Semantic Regularization and Fusion for Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2020

Balanced Meta-Softmax for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

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

Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

[BibT_eX]

[DOI]

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

Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets.

[BibT_eX]

[DOI]

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

Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

[BibT_eX]

[DOI]

Yixiao Ge

Dapeng Chen

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

RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

EfficientFCN: Holistically-Guided Decoding for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning to Predict Context-Adaptive Convolution for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Self-supervising Fine-Grained Region Similarities for Large-Scale Image Localization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection.

[BibT_eX]

[DOI]

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

StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching.

[BibT_eX]

[DOI]

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

Robust Superpixel-Guided Attentional Adversarial Attack.

[BibT_eX]

[DOI]

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

3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior.

[BibT_eX]

[DOI]

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

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification.

[BibT_eX]

[DOI]

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

Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation.

[BibT_eX]

[DOI]

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

2019

Deep Continuous Conditional Random Fields With Asymmetric Inter-Object Constraints for Online Multi-Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2019

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks.

[BibT_eX]

[DOI]

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

Part-A<sup>2</sup> Net: 3D Part-Aware and Aggregation Neural Network for Object Detection from Point Cloud.

[BibT_eX]

[DOI]

CoRR, 2019

A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes.

[BibT_eX]

[DOI]

Qiangfeng Cliff Zhang

CoRR, 2019

Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images.

[BibT_eX]

[DOI]

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

Signet Ring Cell Detection with a Semi-supervised Learning Framework.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Generalizing Monocular 3D Human Pose Estimation in the Wild.

[BibT_eX]

[DOI]

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

Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints.

[BibT_eX]

[DOI]

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

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval.

[BibT_eX]

[DOI]

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

Semi-Supervised Monocular 3D Face Reconstruction With End-to-End Shape-Preserved Domain Transfer.

[BibT_eX]

[DOI]

Jingtan Piao

Chen Qian

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

Interpolated Convolutional Networks for 3D Point Cloud Understanding.

[BibT_eX]

[DOI]

Jiageng Mao

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

Multi-Modality Latent Interaction Network for Visual Question Answering.

[BibT_eX]

[DOI]

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

AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations.

[BibT_eX]

[DOI]

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

P2SGrad: Refined Gradients for Optimizing Deep Face Models.

[BibT_eX]

[DOI]

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

PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud.

[BibT_eX]

[DOI]

Shaoshuai Shi

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

Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing.

[BibT_eX]

[DOI]

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

Conditional Adversarial Generative Flow for Controllable Image Synthesis.

[BibT_eX]

[DOI]

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

Group-Wise Correlation Stereo Network.

[BibT_eX]

[DOI]

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

Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering.

[BibT_eX]

[DOI]

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

A2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes.

[BibT_eX]

[DOI]

Qiangfeng Cliff Zhang

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

Unsupervised Cross-Spectral Stereo Matching by Learning to Synthesize.

[BibT_eX]

[DOI]

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

2018

T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

Crafting GBD-Net for Object Detection.

[BibT_eX]

[DOI]

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

Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection.

[BibT_eX]

[DOI]

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

Fast iteratively reweighted least squares algorithms for analysis-based sparse reconstruction.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

HMS-Net: Hierarchical Multi-scale Sparsity-invariant Network for Sparse Depth Completion.

[BibT_eX]

[DOI]

CoRR, 2018

Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association.

[BibT_eX]

[DOI]

CoRR, 2018

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Person Re-identification with Deep Similarity-Guided Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Monocular Depth by Distilling Cross-Domain Stereo Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Question-Guided Hybrid Convolution for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

3D Human Pose Estimation in the Wild by Adversarial Learning.

[BibT_eX]

[DOI]

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

Eliminating Background-Bias for Robust Person Re-Identification.

[BibT_eX]

[DOI]

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

End-to-End Deep Kronecker-Product Matching for Person Re-Identification.

[BibT_eX]

[DOI]

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

Deep Group-Shuffling Random Walk for Person Re-Identification.

[BibT_eX]

[DOI]

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

Single View Stereo Matching.

[BibT_eX]

[DOI]

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

Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding.

[BibT_eX]

[DOI]

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

Group Consistent Similarity Learning via Deep CRF for Person Re-Identification.

[BibT_eX]

[DOI]

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

Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Generative Adversarial Frontal View to Bird View Synthesis.

[BibT_eX]

[DOI]

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

2017

L<sub>0</sub> Regularized Stationary-Time Estimation for Crowd Analysis.

[BibT_eX]

[DOI]

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

DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Statistical Evaluation of No-Reference Image Quality Assessment Metrics for Remote Sensing Images.

[BibT_eX]

[DOI]

Shuang Li

Zewei Yang

ISPRS Int. J. Geo Inf., 2017

Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision.

[BibT_eX]

[DOI]

CoRR, 2017

Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection.

[BibT_eX]

[DOI]

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

StackGAN: Text to Photo-Realistic Image Synthesis with Stacked Generative Adversarial Networks.

[BibT_eX]

[DOI]

Han Zhang

Tao Xu

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Feature Pyramids for Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Identity-Aware Textual-Visual Matching with Latent Co-attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Online Multi-object Tracking Using CNN-Based Single Object Tracker with Spatial-Temporal Attention Mechanism.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Spatial Regularization with Image-Level Supervisions for Multi-label Image Classification.

[BibT_eX]

[DOI]

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

Person Search with Natural Language Description.

[BibT_eX]

[DOI]

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

Object Detection in Videos with Tubelet Proposal Networks.

[BibT_eX]

[DOI]

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

2016

Data-Driven Crowd Understanding: A Baseline for a Large-Scale Crowd Dataset.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2016

Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning.

[BibT_eX]

[DOI]

Neurocomputing, 2016

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2016

CRF-CNN: Modeling Structured Information in Human Pose Estimation.

[BibT_eX]

[DOI]

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

Crossing-Line Crowd Counting with Two-Phase Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Pedestrian Behavior Understanding and Prediction with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Learnable Histogram: Statistical Context Features for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

End-to-End Learning of Deformable Mixture of Parts and Deep Convolutional Neural Networks for Human Pose Estimation.

[BibT_eX]

[DOI]

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

Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification.

[BibT_eX]

[DOI]

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

Object Detection from Video Tubelets with Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Structured Feature Learning for Pose Estimation.

[BibT_eX]

[DOI]

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

2015

Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2015

Pedestrian Travel Time Estimation in Crowded Scenes.

[BibT_eX]

[DOI]

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

Saliency detection by multi-context deep learning.

[BibT_eX]

[DOI]

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

Cross-scene crowd counting via deep convolutional neural networks.

[BibT_eX]

[DOI]

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

Understanding pedestrian behaviors from stationary crowd groups.

[BibT_eX]

[DOI]

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

DeepID-Net: Deformable deep convolutional neural networks for object detection.

[BibT_eX]

[DOI]

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

2014

Solving a Special Type of Jigsaw Puzzles: Banknote Reconstruction From a Large Number of Fragments.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2014

Feature Matching with Affine-Function Transformation Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Silhouette analysis for human action recognition based on maximum spatio-temporal dissimilarity embedding.

[BibT_eX]

[DOI]

Jian Cheng

Haijun Liu

Mach. Vis. Appl., 2014

Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix.

[BibT_eX]

[DOI]

Medical Image Anal., 2014

SAR target recognition based on improved joint sparse representation.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2014

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection.

[BibT_eX]

[DOI]

CoRR, 2014

Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification.

[BibT_eX]

[DOI]

Rui Zhao

CoRR, 2014

Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2014

Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction.

[BibT_eX]

[DOI]

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

2013

Object Matching Using a Locally Affine Invariant and Linear Programming Techniques.

[BibT_eX]

[DOI]

Lei He

IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012

Automatic Image Annotation and Retrieval Using Group Sparsity.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

A hierarchical image clustering cosegmentation framework.

[BibT_eX]

[DOI]

Edward Kim

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Active Volume Models for Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2011

Approximately Global Optimization for Robust Alignment of Generalized Shapes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

Composite splitting algorithms for convex optimization.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2011

Extraction and analysis of actin networks based on Open Active Contour models.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Actin Filament Segmentation Using Dynamic Programming.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2011

A 3D Laplacian-driven parametric deformable model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Optimal object matching via convexification and composition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

2010

Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Automatic image annotation using group sparsity.

[BibT_eX]

[DOI]

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

Object matching with a locally affine-invariant constraint.

[BibT_eX]

[DOI]

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

2009

Actin Filament Tracking Based on Particle Filters and Stretching Open Active Contour Models.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Automated Actin Filament Segmentation, Tracking and TIP Elongation Measurements Based on Open Active Contour Models.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Active volume models for 3D medical image segmentation.

[BibT_eX]

[DOI]

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

Global optimization for alignment of generalized shapes.

[BibT_eX]

[DOI]