Unsupervised co-segmentation based on a new global GMM constraint in MRF. - Hongkai Yu; Min Xian; Xiaojun Qi 001 (ICIP, 2014)

Unsupervised cosegmentation based on superpixel matching and Fastgrabcut. - Hongkai Yu; Xiaojun Qi 001 (ICME, 2014)

Co-Interest Person Detection from Multiple Wearable Camera Videos. - Yuewei Lin; Kareem Abdelfatah; Youjie Zhou; Xiaochuan Fan; Hongkai Yu; Hui Qian 001; Song Wang 002 (ICCV, 2015)

Automated lesion detection on MRI scans using combined unsupervised and supervised methods. - Dazhou Guo; Julius Fridriksson; Paul Fillmore; Christopher Rorden; Hongkai Yu; Kang Zheng; Song Wang 002 (BMC Medical Imaging, 2015)

Co-interest Person Detection from Multiple Wearable Camera Videos. - Yuewei Lin; Kareem Ezzeldeen; Youjie Zhou; Xiaochuan Fan; Hongkai Yu; Hui Qian 001; Song Wang 002 (CoRR, 2015)

LooseCut: Interactive Image Segmentation with Loosely Bounded Boxes. - Hongkai Yu; Youjie Zhou; Hui Qian 001; Min Xian; Yuewei Lin; Dazhou Guo; Kang Zheng; Kareem Abdelfatah; Song Wang 002 (CoRR, 2015)

Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences. - Hongkai Yu; Youjie Zhou; Jeff P. Simmons; Craig P. Przybyla; Yuewei Lin; Xiaochuan Fan; Yang Mi; Song Wang 002 (CVPR, 2016)

Identifying Same Persons from Temporally Synchronized Videos Taken by Multiple Wearable Cameras. - Kang Zheng; Hao Guo 002; Xiaochuan Fan; Hongkai Yu; Song Wang 002 (CVPR Workshops, 2016)

Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials. - Youjie Zhou; Hongkai Yu; Jeff P. Simmons; Craig Przybyla; Song Wang 002 (IEEE Trans. Image Process., 2016)

On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking. - Hongkai Yu; Jeff P. Simmons; Craig P. Przybyla; Song Wang 002 (Computational Imaging, 2017)

Learning View-Invariant Features for Person Identification in Temporally Synchronized Videos Taken by Wearable Cameras. - Kang Zheng; Xiaochuan Fan; Yuewei Lin; Hao Guo 002; Hongkai Yu; Dazhou Guo; Song Wang 002 (ICCV, 2017)

Loosecut: Interactive image segmentation with loosely bounded boxes. - Hongkai Yu; Youjie Zhou; Hui Qian 001; Min Xian; Song Wang 002 (ICIP, 2017)

Feature sampling strategies for action recognition. - Youjie Zhou; Hongkai Yu; Song Wang 002 (ICIP, 2017)

Identifying designs from incomplete, fragmented cultural heritage objects by curve-pattern matching. - Jun Zhou; Haozhou Yu; Karen Y. Smith; Colin Wilder; Hongkai Yu; Song Wang 002 (J. Electronic Imaging, 2017)

Co-Saliency Detection Within a Single Image. - Hongkai Yu; Kang Zheng; Jianwu Fang; Hao Guo 002; Wei Feng 005; Song Wang 002 (AAAI, 2018)

Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images. - Hongkai Yu; Dazhou Guo; Zhipeng Yan; Wei Liu; Jeff P. Simmons; Craig P. Przybyla; Song Wang 002 (CoRR, 2018)

Multiple human tracking in wearable camera videos with informationless intervals. - Hongkai Yu; Haozhou Yu; Hao Guo 002; Jeff P. Simmons; Qin Zou 001; Wei Feng 005; Song Wang 002 (Pattern Recognit. Lett., 2018)

Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification. - Hao Guo 002; Kang Zheng; Xiaochuan Fan; Hongkai Yu; Song Wang 002 (CVPR, 2019)

Decision Making through Occluded Intersections for Autonomous Driving. - Xiao Lin; Jiucai Zhang; Jin Shang; Yi Wang; Hongkai Yu; Xiaoli Zhang 002 (ITSC, 2019)

An End-to-End Network for Co-Saliency Detection in One Single Image. - Yuanhao Yue; Qin Zou 001; Hongkai Yu; Qian Wang 002; Song Wang 002 (CoRR, 2019)

RNN-based default logic for route planning in urban environments. - Jiangtao Kong; Jian Huang 010; Hongkai Yu; Hanqiang Deng; Jianxing Gong; Hao Chen 099 (Neurocomputing, 2019)

An easy-to-hard learning strategy for within-image co-saliency detection. - Shaoyue Song; Hongkai Yu; Zhenjiang Miao; Dazhou Guo; Wei Ke 001; Cong Ma 004; Song Wang 002 (Neurocomputing, 2019)

Domain Adaptation for Convolutional Neural Networks-Based Remote Sensing Scene Classification. - Shaoyue Song; Hongkai Yu; Zhenjiang Miao; Qiang Zhang 030; Yuewei Lin; Song Wang 002 (IEEE Geosci. Remote. Sens. Lett., 2019)

Small Object Sensitive Segmentation of Urban Street Scene With Spatial Adjacency Between Object Classes. - Dazhou Guo; Ligeng Zhu; Yuhang Lu; Hongkai Yu; Song Wang 002 (IEEE Trans. Image Process., 2019)

Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation. - Shaoyue Song; Hongkai Yu; Zhenjiang Miao; Jianwu Fang; Kang Zheng; Cong Ma 004; Song Wang 002 (AAAI, 2020)

Crystallographic Symmetry for Data Augmentation in Detecting Dendrite Cores. - Lan Fu; Hongkai Yu; Megna Shah; Jeff P. Simmons; Song Wang 002 (Computational Imaging, 2020)

DCDLearn: Multi-order Deep Cross-distance Learning for Vehicle Re-Identification. - Rixing Zhu; Jianwu Fang; Hongke Xu; Hongkai Yu; Jianru Xue (CoRR, 2020)

Making Images Undiscoverable from Co-Saliency Detection. - Ruijun Gao; Qing Guo 005; Felix Juefei-Xu; Hongkai Yu; Xuhong Ren; Wei Feng 005; Song Wang 002 (CoRR, 2020)

Weakly supervised easy-to-hard learning for object detection in image sequences. - Hongkai Yu; Dazhou Guo; Zhipeng Yan; Lan Fu; Jeff P. Simmons; Craig P. Przybyla; Song Wang 002 (Neurocomputing, 2020)

Vehicle re-identification in tunnel scenes via synergistically cascade forests. - Rixing Zhu; Jianwu Fang; Shuying Li; Qi Wang 009; Hongke Xu; Jianru Xue; Hongkai Yu (Neurocomputing, 2020)

Degraded Image Semantic Segmentation With Dense-Gram Networks. - Dazhou Guo; Yanting Pei; Kang Zheng; Hongkai Yu; Yuhang Lu; Song Wang 002 (IEEE Trans. Image Process., 2020)

A New Method and Benchmark for Detecting Co-Saliency Within a Single Image. - Hongkai Yu; Kang Zheng; Jianwu Fang; Hao Guo 002; Song Wang 002 (IEEE Trans. Multim., 2020)

Auto-Exposure Fusion for Single-Image Shadow Removal. - Lan Fu; Changqing Zhou; Qing Guo 005; Felix Juefei-Xu; Hongkai Yu; Wei Feng 005; Yang Liu 003; Song Wang 002 (CVPR, 2021)

Learning To Detect Phone-Related Pedestrian Distracted Behaviors With Synthetic Data. - Emre Hatay; Jin Ma 005; Huiming Sun; Jianwu Fang; Zhiqiang Gao; Hongkai Yu (CVPR Workshops, 2021)

Convolutional Neural Networks Based Remote Sensing Scene Classification under Clear and Cloudy Environments. - Huiming Sun; Yuewei Lin; Qin Zou 001; Shaoyue Song; Jianwu Fang; Hongkai Yu (ICCVW, 2021)

Learning to Detect Pedestrian Flow in Traffic Intersections from Synthetic Data. - Abhijit Baul; Weidong Kuang; Jingru Zhang 001; Hongkai Yu; Lingtao Wu (ITSC, 2021)

JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting. - Qing Guo 005; Xiaoguang Li; Felix Juefei-Xu; Hongkai Yu; Yang Liu 003; Song Wang 002 (ACM Multimedia, 2021)

AdvHaze: Adversarial Haze Attack. - Ruijun Gao; Qing Guo 005; Felix Juefei-Xu; Hongkai Yu; Wei Feng 005 (CoRR, 2021)

Benchmarking Shadow Removal for Facial Landmark Detection and Beyond. - Lan Fu; Qing Guo 005; Felix Juefei-Xu; Hongkai Yu; Wei Feng 005; Yang Liu 003; Song Wang 002 (CoRR, 2021)

Guest editorial: Graph learning for computer vision. - Qi Wang 009; Hongkai Yu; Song Wang 002; Jianzhe Lin (IET Comput. Vis., 2021)

Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection. - Ruijun Gao; Qing Guo 005; Felix Juefei-Xu; Hongkai Yu; Huazhu Fu; Wei Feng 005; Yang Liu 003; Song Wang 002 (CVPR, 2022)

Proof-of-Concept: A Hands-Free Interface for Robot-Assisted Self-Feeding. - John R. Schultz; Andrew B. Slifkin; Hongkai Yu; Eric M. Schearer (ICORR, 2022)

AdvTraffic: Obfuscating Encrypted Traffic with Adversarial Examples. - Hao Liu; Jimmy Dani; Hongkai Yu; Wenhai Sun; Boyang Wang (IWQoS, 2022)

Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review. - Talha Azfar; Jinlong Li; Hongkai Yu; Ruey Long Cheu; Yisheng Lv; Ruimin Ke (CoRR, 2022)

Line Drawing Guided Progressive Inpainting of Mural Damages. - Luxi Li; Qin Zou 001; Fan Zhang 006; Hongkai Yu; Long Chen 005; Chengfang Song; Xianfeng Huang; Xiaoguang Wang (CoRR, 2022)

Coarse-to-fine Task-driven Inpainting for Geoscience Images. - Huiming Sun; Jin Ma 005; Qing Guo 005; Shaoyue Song; Yuewei Lin; Hongkai Yu (CoRR, 2022)

Deep Learning for Object Detection in Materials-Science Images: A tutorial. - Lan Fu; Hongkai Yu; Xiaoguang Li; Craig P. Przybyla; Song Wang 002 (IEEE Signal Process. Mag., 2022)

Let There Be Light: Improved Traffic Surveillance via Detail Preserving Night-to-Day Transfer. - Lan Fu; Hongkai Yu; Felix Juefei-Xu; Jinlong Li; Qing Guo 005; Song Wang 002 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Traffic Accident Detection via Self-Supervised Consistency Learning in Driving Scenarios. - Jianwu Fang; Jiahuan Qiao; Jie Bai; Hongkai Yu; Jianru Xue (IEEE Trans. Intell. Transp. Syst., 2022)

DADA: Driver Attention Prediction in Driving Accident Scenarios. - Jianwu Fang; Dingxin Yan; Jiahuan Qiao; Jianru Xue; Hongkai Yu (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Domain Adaptation Based Multi-Spectral Salient Object Detection. - Shaoyue Song; Zhenjiang Miao; Hongkai Yu; Jianwu Fang; Kang Zheng; Cong Ma 004; Song Wang 002 (IEEE Trans. Multim., 2022)

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception. - Runsheng Xu; Xin Xia 007; Jinlong Li; Hanzhao Li; Shuo Zhang; Zhengzhong Tu; Zonglin Meng; Hao Xiang; Xiaoyu Dong; Rui Song 007; Hongkai Yu; Bolei Zhou; et al. (CVPR, 2023)

Bridging the Domain Gap for Multi-Agent Perception. - Runsheng Xu; Jinlong Li; Xiaoyu Dong; Hongkai Yu; Jiaqi Ma 003 (ICRA, 2023)

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather. - Jinlong Li; Runsheng Xu; Jin Ma 005; Qin Zou 001; Jiaqi Ma 003; Hongkai Yu (WACV, 2023)

Pik-Fix: Restoring and Colorizing Old Photos. - Runsheng Xu; Zhengzhong Tu; Yuanqi Du; Xiaoyu Dong; Jinlong Li; Zibo Meng; Jiaqi Ma 003; Alan C. Bovik; Hongkai Yu (WACV, 2023)

Semi-supervised Large-scale Fiber Detection in Material Images with Synthetic Data. - Lan Fu; Zhiyuan Liu; Jinlong Li; Jeff P. Simmons; Hongkai Yu; Song Wang 002 (CoRR, 2023)

RXFOOD: Plug-in RGB-X Fusion for Object of Interest Detection. - Jin Ma 005; Jinlong Li; Qing Guo 005; Tianyun Zhang; Yuewei Lin; Hongkai Yu (CoRR, 2023)

Deep Transfer Learning for Intelligent Vehicle Perception: a Survey. - Xinyu Liu 009; Jinlong Li; Jin Ma 005; Huiming Sun; Zhigang Xu 001; Tianyun Zhang; Hongkai Yu (CoRR, 2023)

Domain Adaptation based Enhanced Detection for Autonomous Driving in Foggy and Rainy Weather. - Jinlong Li; Runsheng Xu; Jin Ma 005; Qin Zou 001; Jiaqi Ma 003; Hongkai Yu (CoRR, 2023)

SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting. - Canyu Zhang; Qing Guo 005; Xiaoguang Li; Renjie Wan; Hongkai Yu; Ivor W. Tsang; Song Wang 002 (CoRR, 2023)

Deep learning for image inpainting: A survey. - Hanyu Xiang; Qin Zou 001; Muhammad Ali Nawaz; Xianfeng Huang; Fan Zhang 006; Hongkai Yu (Pattern Recognit., 2023)

Learning for Vehicle-to-Vehicle Cooperative Perception Under Lossy Communication. - Jinlong Li; Runsheng Xu; Xinyu Liu 009; Jin Ma 005; Zicheng Chi; Jiaqi Ma 003; Hongkai Yu (IEEE Trans. Intell. Veh., 2023)

An end-to-end network for co-saliency detection in one single image. - Yuanhao Yue; Qin Zou 001; Hongkai Yu; Qian Wang 002; Zhongyuan Wang 001; Song Wang 002 (Sci. China Inf. Sci., 2023)

Heterogeneous Trajectory Forecasting via Risk and Scene Graph Learning. - Jianwu Fang; Chen Zhu; Pu Zhang 001; Hongkai Yu; Jianru Xue (IEEE Trans. Intell. Transp. Syst., 2023)

Coarse-to-Fine Task-Driven Inpainting for Geoscience Images. - Huiming Sun; Jin Ma 005; Qing Guo 005; Qin Zou 001; Shaoyue Song; Yuewei Lin; Hongkai Yu (IEEE Trans. Circuits Syst. Video Technol., 2023)

SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation. - Youhong Wang; Yunji Liang; Hao Xu; Shaohui Jiao; Hongkai Yu (AAAI, 2024)

Abductive Ego-View Accident Video Understanding for Safe Driving Perception. - Jianwu Fang; Lei-Lei Li; Junfei Zhou; Junbin Xiao; Hongkai Yu; Chen Lv; Jianru Xue; Tat-Seng Chua (CVPR, 2024)

Light the Night: A Multi-Condition Diffusion Framework for Unpaired Low-Light Enhancement in Autonomous Driving. - Jinlong Li; Baolu Li; Zhengzhong Tu; Xinyu Liu 009; Qing Guo 005; Felix Juefei-Xu; Runsheng Xu; Hongkai Yu (CVPR, 2024)

AdvGPS: Adversarial GPS for Multi-Agent Perception Attack. - Jinlong Li; Baolu Li; Xinyu Liu 009; Jianwu Fang; Felix Juefei-Xu; Qing Guo 005; Hongkai Yu (ICRA, 2024)

Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources. - Jinlong Li; Baolu Li; Xinyu Liu 009; Runsheng Xu; Jiaqi Ma 003; Hongkai Yu (ICRA, 2024)

S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality. - Jinlong Li; Runsheng Xu; Xinyu Liu 009; Baolu Li; Qin Zou 001; Jiaqi Ma 003; Hongkai Yu (ICRA, 2024)

Vehicle Behavior Prediction by Episodic-Memory Implanted NDT. - Peining Shen; Jianwu Fang; Hongkai Yu; Jianru Xue (ICRA, 2024)

A Min-Max Optimization Framework for Multi-task Deep Neural Network Compression. - Jiacheng Guo; Huiming Sun; Minghai Qin; Hongkai Yu; Tianyun Zhang (ISCAS, 2024)

VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification. - Baolu Li; Ping Liu 004; Lan Fu; Jinlong Li; Jianwu Fang; Zhigang Xu 001; Hongkai Yu (IV, 2024)

V2X-DSI: A Density-Sensitive Infrastructure LiDAR Benchmark for Economic Vehicle-to-Everything Cooperative Perception. - Xinyu Liu 009; Baolu Li; Runsheng Xu; Jiaqi Ma 003; Xiaopeng Li; Jinlong Li; Hongkai Yu (IV, 2024)

EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV. - Huiming Sun; Jiacheng Guo; Zibo Meng; Tianyun Zhang; Jianwu Fang; Yuewei Lin; Hongkai Yu (IV, 2024)

Defense against Adversarial Cloud Attack on Remote Sensing Salient Object Detection. - Huiming Sun; Lan Fu; Jinlong Li; Qing Guo 005; Zibo Meng; Tianyun Zhang; Yuewei Lin; Hongkai Yu (WACV, 2024)

V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions. - Baolu Li; Jinlong Li; Xinyu Liu 009; Runsheng Xu; Zhengzhong Tu; Jiacheng Guo; Xiaopeng Li; Hongkai Yu (CoRR, 2024)

CoMamba: Real-time Cooperative Perception Unlocked with State Space Models. - Jinlong Li; Xinyu Liu 009; Baolu Li; Runsheng Xu; Jiachen Li 001; Hongkai Yu; Zhengzhong Tu (CoRR, 2024)

Stealthy Multi-Task Adversarial Attacks. - Jiacheng Guo; Tianyun Zhang; Lei Li; Haochen Yang; Hongkai Yu; Minghai Qin (CoRR, 2024)

Adversarial Relighting Against Face Recognition. - Qian Zhang 051; Qing Guo 005; Ruijun Gao; Felix Juefei-Xu; Hongkai Yu; Wei Feng 005 (IEEE Trans. Inf. Forensics Secur., 2024)

Sora-Based Parallel Vision for Smart Sensing of Intelligent Vehicles: From Foundation Models to Foundation Intelligence. - Hongkai Yu; Xinyu Liu 009; Yonglin Tian; Yutong Wang 001; Chao Gou; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving. - Yunji Liang; Nengzhen Chen; Zhiwen Yu 001; Lei Tang 002; Hongkai Yu; Bin Guo 001; Daniel Dajun Zeng (ACM Trans. Intell. Syst. Technol., 2024)

An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing. - Lei Li; Haochen Yang; Jiacheng Guo; Hongkai Yu; Minghai Qin; Tianyun Zhang (AAAI, 2025)

Robust Multi-task Adversarial Attacks Using Min-max Optimization. - Jiacheng Guo; Lei Li; Haochen Yang; Baocheng Geng; Hongkai Yu; Minghai Qin; Tianyun Zhang (ICASSP, 2025)

A min-max optimization framework for sparse multi-task deep neural network. - Jiacheng Guo; Lei Li; Huiming Sun; Minghai Qin; Hongkai Yu; Tianyun Zhang (Neurocomputing, 2025)

BEVFix: Deep feature enhancement for robust 3D object detection. - Wenxuan Li; Jian Zhou 011; Chi Chen 002; Hongkai Yu; Bo Du 001; Qin Zou 001 (Neural Networks, 2025)

Domain Adaptation Based Object Detection for Autonomous Driving in Foggy and Rainy Weather. - Jinlong Li; Runsheng Xu; Xinyu Liu 009; Jin Ma 005; Baolu Li; Qin Zou 001; Jiaqi Ma 003; Hongkai Yu (IEEE Trans. Intell. Veh., 2025)

V2X-DG: Domain Generalization for Vehicle-to-Everything Cooperative Perception. - Baolu Li; Zongzhe Xu; Jinlong Li; Xinyu Liu 009; Jianwu Fang; Xiaopeng Li; Hongkai Yu (CoRR, 2025)

Visibility-Uncertainty-guided 3D Gaussian Inpainting via Scene Conceptional Learning. - Mingxuan Cui; Qing Guo 005; Yuyi Wang 001; Hongkai Yu; Di Lin 002; Qin Zou 001; Ming-Ming Cheng; Xi Li (CoRR, 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

Co-Fix3D: Enhancing 3D Object Detection With Collaborative Refinement. - Wenxuan Li; Qin Zou 001; Chi Chen 002; Bo Du 001; Long Chen 005; Jian Zhou 011; Hongkai Yu (IEEE Robotics Autom. Lett., 2025)

Advancing from Automated to Autonomous Beamline by Leveraging Computer Vision. - Baolu Li; Hongkai Yu; Huiming Sun; Jin Ma 005; Yuewei Lin; Lu Ma; Yonghua Du (CoRR, 2025)

EQ-TAA: Equivariant Traffic Accident Anticipation via Diffusion-Based Accident Video Synthesis. - Jianwu Fang; Lei-Lei Li; Zhedong Zheng; Hongkai Yu; Jianru Xue; Zhengguo Li; Tat-Seng Chua (CoRR, 2025)

Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis. - Lei-Lei Li; Jianwu Fang; Junbin Xiao; Shanmin Pang; Hongkai Yu; Chen Lv; Jianru Xue; Tat-Seng Chua (CoRR, 2025)