Tianfu Wu

Nan Xue

CoRR, 2024

Enhancing Approximate Message Passing via Diffusion Models Towards On-Device Intelligence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2024

Multi-View Attentive Contextualization for Multi-View 3D Object Detection.

[BibT_eX]

[DOI]

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

NEAT: Distilling 3D Wireframes from Neural Attraction Fields.

[BibT_eX]

[DOI]

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

2023

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning.

[BibT_eX]

[DOI]

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

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction.

[BibT_eX]

[DOI]

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

QuadAttack: A Quadratic Programming Approach to Ordered Top-K Attacks.

[BibT_eX]

[DOI]

Thomas Paniagua

Ryan Grainger

CoRR, 2023

GIFT: Generative Interpretable Fine-Tuning Transformers.

[BibT_eX]

[DOI]

Chinmay Savadikar

Xi Song

CoRR, 2023

Volumetric Wireframe Parsing from Neural Attraction Fields.

[BibT_eX]

[DOI]

CoRR, 2023

QuadAttacK: A Quadratic Programming Approach to Learning Ordered Top-K Adversarial Attacks.

[BibT_eX]

[DOI]

Thomas Paniagua

Ryan Grainger

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

Learning Spatially-Adaptive Squeeze-Excitation Networks for Few Shot Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Learning Spatially-Adaptive Style-Modulation Networks for Single Image Synthesis.

[BibT_eX]

[DOI]

Prasanth Prabu Ravichandiran

Proceedings of the IEEE International Conference on Image Processing, 2023

CGBA: Curvature-aware Geometric Black-box Attack.

[BibT_eX]

[DOI]

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

Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver.

[BibT_eX]

[DOI]

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

Implicit Bayes Adaptation: A Collaborative Transport Approach.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Level-S<sup>2</sup>fM: Structure from Motion on Neural Level Set of Implicit Surfaces.

[BibT_eX]

[DOI]

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

PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers.

[BibT_eX]

[DOI]

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

Thermal Estimation for 3D-ICs Through Generative Networks.

[BibT_eX]

[DOI]

Priyank Kashyap

Proceedings of the IEEE International 3D Systems Integration Conference, 2023

2022

Preliminary Evaluation of a System with On-Body and Aerial Sensors for Monitoring Working Dogs.

[BibT_eX]

[DOI]

Sensors, 2022

Learning Layout and Style Reconfigurable GANs for Controllable Image Synthesis.

[BibT_eX]

[DOI]

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

Learning Patch-to-Cluster Attention in Vision Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching.

[BibT_eX]

[DOI]

Kelvin Cheng

Christopher G. Healey

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

RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

Refining Self-Supervised Learning in Imaging: Beyond Linear Metric.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation.

[BibT_eX]

[DOI]

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

Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection.

[BibT_eX]

[DOI]

Xianpeng Liu

Nan Xue

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

HoW-3D: Holistic 3D Wireframe Perception from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2022

2021

A Bottom-Up and Top-Down Integration Framework for Online Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Event driven sensor fusion.

[BibT_eX]

[DOI]

Signal Process., 2021

Learning Regional Attraction for Line Segment Detection.

[BibT_eX]

[DOI]

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

Learning Inception Attention for Image Synthesis and Image Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Local-Global Contextual Adaptation for Fully End-to-End Bottom-Up Human Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Adversarially Robust and Domain Generalizable Stereo Matching by Rethinking DNN Feature Backbones.

[BibT_eX]

[DOI]

Kelvin Cheng

Christopher G. Healey

CoRR, 2021

Deep Consensus Learning.

[BibT_eX]

[DOI]

CoRR, 2021

PlaneTR: Structure-Guided Transformers for 3D Plane Recovery.

[BibT_eX]

[DOI]

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

2020

Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees.

[BibT_eX]

[DOI]

CoRR, 2020

Local Clustering with Mean Teacher for Semi-supervised learning.

[BibT_eX]

[DOI]

Zexi Chen

Benjamin Dutton

Bharathkumar Ramachandra

Ranga Raju Vatsavai

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Attentive Normalization.

[BibT_eX]

[DOI]

Xilai Li

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Ordered Top-k Adversarial Attacks via Adversarial Distillation.

[BibT_eX]

[DOI]

Zekun Zhang

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

Holistically-Attracted Wireframe Parsing.

[BibT_eX]

[DOI]

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

Inducing Hierarchical Compositional Model by Sparsifying Generator Network.

[BibT_eX]

[DOI]

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

2019

Jointly social grouping and identification in visual dynamics with causality-induced hierarchical Bayesian model.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

LNSNet: Lightweight Navigable Space Segmentation for Autonomous Robots on Construction Sites.

[BibT_eX]

[DOI]

Data, 2019

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Pose Guided Fashion Image Synthesis Using Deep Generative Model.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Distillation for Ordered Top-k Attacks.

[BibT_eX]

[DOI]

Zekun Zhang

CoRR, 2019

Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Spatial Pyramid Attentive Pooling in Image Synthesis and Image-to-Image Translation.

[BibT_eX]

[DOI]

CoRR, 2019

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Towards Interpretable Object Detection by Unfolding Latent Structures.

[BibT_eX]

[DOI]

Xi Song

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

Image Synthesis From Reconfigurable Layout and Style.

[BibT_eX]

[DOI]

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

Learning Attraction Field Representation for Robust Line Segment Detection.

[BibT_eX]

[DOI]

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

AOGNets: Compositional Grammatical Architectures for Deep Learning.

[BibT_eX]

[DOI]

Xilai Li

Xi Song

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

Preliminary Evaluation of Dog-Drone Technological Interfaces: Challenges and Opportunities.

[BibT_eX]

[DOI]

Proceedings of the ACI'19: Sixth International Conference on Animal-Computer Interaction, 2019

2018

Relational Long Short-Term Memory for Video Action Recognition.

[BibT_eX]

[DOI]

Zexi Chen

Bharathkumar Ramachandra

Ranga Raju Vatsavai

CoRR, 2018

Auto-Context R-CNN.

[BibT_eX]

[DOI]

CoRR, 2018

Building an Integrated Mobile Robotic System for Real-Time Applications in Construction.

[BibT_eX]

[DOI]

CoRR, 2018

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks.

[BibT_eX]

[DOI]

Zeyuan Chen

Shaoliang Nie

Christopher G. Healey

CoRR, 2018

Decision Level Fusion: An Event Driven Approach.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Neural Abstract Style Transfer for Chinese Traditional Painting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

Scene-Centric Joint Parsing of Cross-View Videos.

[BibT_eX]

[DOI]

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

2017

Online Object Tracking, Learning and Parsing with And-Or Graphs.

[BibT_eX]

[DOI]

Yang Lu

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

AOGNets: Deep AND-OR Grammar Networks for Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

Interpretable R-CNN.

[BibT_eX]

[DOI]

CoRR, 2017

Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Zero-Shot Learning Posed as a Missing Data Problem.

[BibT_eX]

[DOI]

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

2016

A Reconfigurable Tangram Model for Scene Representation and Categorization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation.

[BibT_eX]

[DOI]

Bo Li

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

Deep Learning for Remote Sensing Image Understanding.

[BibT_eX]

[DOI]

J. Sensors, 2016

Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2016

Zero-Shot Learning via Revealing Data Distribution.

[BibT_eX]

[DOI]

CoRR, 2016

Object Detection via End-to-End Integration of Aspect Ratio and Context Aware Part-based Models and Fully Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.

[BibT_eX]

[DOI]

CoRR, 2016

Recurrent Attentional Model for No-Reference Image Quality Assessment.

[BibT_eX]

[DOI]

CoRR, 2016

Face Detection with End-to-End Integration of a ConvNet and a 3D Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Recognizing Car Fluents from Video.

[BibT_eX]

[DOI]

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

Face Video Retrieval via Deep Learning of Binary Hash Representations.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation.

[BibT_eX]

[DOI]

Bo Li

CoRR, 2015

A Restricted Visual Turing Test for Deep Scene and Event Understanding.

[BibT_eX]

[DOI]

CoRR, 2015

2014

Coupling-and-decoupling: A hierarchical model for occlusion-free object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

A global energy optimization framework for 2.1D sketch extraction from monocular images.

[BibT_eX]

[DOI]

Graph. Model., 2014

Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model.

[BibT_eX]

[DOI]

Bo Li

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Modeling Occlusion by Discriminative AND-OR Structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Discriminatively Trained And-Or Tree Models for Object Detection.

[BibT_eX]

[DOI]

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

2012

Learning reconfigurable scene representation by tangram model.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Applications of Computer Vision, 2012

Learning Global and Reconfigurable Part-Based Models for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Tracking Pedestrian with Multi-component Online Deformable Part-Based Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2012, 2012

Coupling-and-Decoupling: A Hierarchical Model for Occlusion-Free Car Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2011

2010

Three-layer Spatial Sparse Coding for Image Classification.

[BibT_eX]

[DOI]

Dengxin Dai

Wen Yang

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Discovering scene categories by information projection and cluster sampling.

[BibT_eX]

[DOI]

Dengxin Dai

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

2009

A stochastic graph grammar for compositional object representation and recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

Evaluating information contributions of bottom-up and top-down processes.

[BibT_eX]

[DOI]

Xiong Yang

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Design sparse features for age estimation using hierarchical face model.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007

Bayesian Inference for Layer Representation with Mixed Markov Random Field.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Compositional Boosting for Computing Hierarchical Image Structures.

[BibT_eX]

[DOI]

Gui-Song Xia