DSW feature based Hidden Marcov Model: An application on object identification. - Liang Zheng 001; Taiqing Wang; Shengjin Wang; Xiaoqing Ding (SoCPaR, 2011)

Lp-Norm IDF for Large Scale Image Search. - Liang Zheng 001; Shengjin Wang; Ziqiong Liu; Qi Tian 001 (CVPR, 2013)

Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search. - Liang Zheng 001; Shengjin Wang (IEEE Signal Process. Lett., 2013)

Packing and Padding: Coupled Multi-index for Accurate Image Retrieval. - Liang Zheng 001; Shengjin Wang; Ziqiong Liu; Qi Tian 001 (CVPR, 2014)

Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval. - Liang Zheng 001; Shengjin Wang; Wengang Zhou 001; Qi Tian 001 (CVPR, 2014)

Visual reranking with improved image graph. - Ziqiong Liu; Shengjin Wang; Liang Zheng 001; Qi Tian 001 (ICASSP, 2014)

Seeing the Big Picture: Deep Embedding with Contextual Evidences. - Liang Zheng 001; Shengjin Wang; Fei He; Qi Tian 001 (CoRR, 2014)

Coupled Binary Embedding for Large-Scale Image Retrieval. - Liang Zheng 001; Shengjin Wang; Qi Tian 001 (IEEE Trans. Image Process., 2014)

( mathcal {L}_p ) -Norm IDF for Scalable Image Retrieval. - Liang Zheng 001; Shengjin Wang; Qi Tian 001 (IEEE Trans. Image Process., 2014)

Coloring image search with coupled multi-index. - Liang Zheng 001; Shengjin Wang; Qi Tian 001 (ChinaSIP, 2015)

Query-adaptive late fusion for image search and person re-identification. - Liang Zheng 001; Shengjin Wang; Lu Tian; Fei He; Ziqiong Liu; Qi Tian 001 (CVPR, 2015)

Scalable Person Re-identification: A Benchmark. - Liang Zheng 001; Liyue Shen; Lu Tian; Shengjin Wang; Jingdong Wang 001; Qi Tian 001 (ICCV, 2015)

Person Re-identification Meets Image Search. - Liang Zheng 001; Liyue Shen; Lu Tian; Shengjin Wang; Jiahao Bu; Qi Tian 001 (CoRR, 2015)

Tensor index for large scale image retrieval. - Liang Zheng 001; Shengjin Wang; Peizhen Guo; Hanyue Liang; Qi Tian 001 (Multim. Syst., 2015)

Fast Image Retrieval: Query Pruning and Early Termination. - Liang Zheng 001; Shengjin Wang; Ziqiong Liu; Qi Tian 001 (IEEE Trans. Multim., 2015)

InterActive: Inter-Layer Activeness Propagation. - Lingxi Xie; Liang Zheng 001; Jingdong Wang 001; Alan L. Yuille; Qi Tian 001 (CVPR, 2016)

MARS: A Video Benchmark for Large-Scale Person Re-Identification. - Liang Zheng 001; Zhi Bie; Yifan Sun 003; Jingdong Wang 001; Chi Su; Shengjin Wang; Qi Tian 001 (ECCV (6), 2016)

Exploiting Hierarchical Activations of Neural Network for Image Retrieval. - Ying Li 016; Xiangwei Kong 001; Liang Zheng 001; Qi Tian 001 (ACM Multimedia, 2016)

Coarse2Fine: Two-Layer Fusion For Image Retrieval. - Gaipeng Kong; Le Dong; Wenpu Dong; Liang Zheng 001; Qi Tian 001 (CoRR, 2016)

Person Re-identification: Past, Present and Future. - Liang Zheng 001; Yi Yang 001; Alexander G. Hauptmann (CoRR, 2016)

Person Re-identification in the Wild. - Liang Zheng 001; Hengheng Zhang; Shaoyan Sun; Manmohan Chandraker; Qi Tian 001 (CoRR, 2016)

Good Practice in CNN Feature Transfer. - Liang Zheng 001; Yali Zhao; Shengjin Wang; Jingdong Wang 001; Qi Tian 001 (CoRR, 2016)

A Discriminatively Learned CNN Embedding for Person Re-identification. - Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (CoRR, 2016)

Accurate Image Search with Multi-Scale Contextual Evidences. - Liang Zheng 001; Shengjin Wang; Jingdong Wang 001; Qi Tian 001 (Int. J. Comput. Vis., 2016)

Person Re-identification in the Wild. - Liang Zheng 001; Hengheng Zhang; Shaoyan Sun; Manmohan Chandraker; Yi Yang 001; Qi Tian 001 (CVPR, 2017)

Re-ranking Person Re-identification with k-Reciprocal Encoding. - Zhun Zhong; Liang Zheng 001; Donglin Cao; Shaozi Li (CVPR, 2017)

SVDNet for Pedestrian Retrieval. - Yifan Sun 003; Liang Zheng 001; Weijian Deng; Shengjin Wang (ICCV, 2017)

Dynamic Label Graph Matching for Unsupervised Video Re-identification. - Mang Ye; Andy Jinhua Ma; Liang Zheng 001; Jiawei Li 003; Pong C. Yuen (ICCV, 2017)

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro. - Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (ICCV, 2017)

Few-shot Object Detection. - Xuanyi Dong; Liang Zheng 001; Fan Ma; Yi Yang 001; Deyu Meng (CoRR, 2017)

Unsupervised Person Re-identification: Clustering and Fine-tuning. - Hehe Fan; Liang Zheng 001; Yi Yang 001 (CoRR, 2017)

PatchShuffle Regularization. - Guoliang Kang; Xuanyi Dong; Liang Zheng 001; Yi Yang 001 (CoRR, 2017)

Improving Person Re-identification by Attribute and Identity Learning. - Yutian Lin; Liang Zheng 001; Zhedong Zheng; Yu Wu 011; Yi Yang 001 (CoRR, 2017)

A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval. - Ruoyu Liu; Yao Zhao 001; Liang Zheng 001; Shikui Wei; Yi Yang 001 (CoRR, 2017)

Dual-Path Convolutional Image-Text Embedding. - Zhedong Zheng; Liang Zheng 001; Michael Garrett; Yi Yang 001; Yi-Dong Shen (CoRR, 2017)

Beyond Part Models: Person Retrieval with Refined Part Pooling. - Yifan Sun 003; Liang Zheng 001; Yi Yang 001; Qi Tian 001; Shengjin Wang (CoRR, 2017)

Robust ImageGraph: Rank-Level Feature Fusion for Image Search. - Ziqiong Liu; Shengjin Wang; Liang Zheng 001; Qi Tian 001 (IEEE Trans. Image Process., 2017)

Part-Based Deep Hashing for Large-Scale Person Re-Identification. - Fuqing Zhu; Xiangwei Kong 001; Liang Zheng 001; Haiyan Fu; Qi Tian 001 (IEEE Trans. Image Process., 2017)

Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification. - Weijian Deng; Liang Zheng 001; Qixiang Ye; Guoliang Kang; Yi Yang 001; Jianbin Jiao (CVPR, 2018)

Camera Style Adaptation for Person Re-Identification. - Zhun Zhong; Liang Zheng 001; Zhedong Zheng; Shaozi Li; Yi Yang 001 (CVPR, 2018)

Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization. - Guoliang Kang; Liang Zheng 001; Yan Yan 006; Yi Yang 001 (ECCV (11), 2018)

Macro-Micro Adversarial Network for Human Parsing. - Yawei Luo; Zhedong Zheng; Liang Zheng 001; Tao Guan; Junqing Yu; Yi Yang 001 (ECCV (9), 2018)

Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline). - Yifan Sun 003; Liang Zheng 001; Yi Yang 001; Qi Tian 001; Shengjin Wang (ECCV (4), 2018)

Generalizing a Person Retrieval Model Hetero- and Homogeneously. - Zhun Zhong; Liang Zheng 001; Shaozi Li; Yi Yang 001 (ECCV (13), 2018)

Attention-based Pyramid Aggregation Network for Visual Place Recognition. - Yingying Zhu 001; Jiong Wang; Lingxi Xie; Liang Zheng 001 (ACM Multimedia, 2018)

On the Large-Scale Transferability of Convolutional Neural Networks. - Liang Zheng 001; Yali Zhao; Shengjin Wang; Jingdong Wang 001; Yi Yang 001; Qi Tian 001 (PAKDD (Workshops), 2018)

Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification. - Qingji Guan; Yaping Huang; Zhun Zhong; Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (CoRR, 2018)

Open Set Adversarial Examples. - Zhedong Zheng; Liang Zheng 001; Zhilan Hu; Yi Yang 001 (CoRR, 2018)

Query Adaptive Late Fusion for Image Retrieval. - Zhongdao Wang; Liang Zheng 001; Shengjin Wang (CoRR, 2018)

Similarity-preserving Image-image Domain Adaptation for Person Re-identification. - Weijian Deng; Liang Zheng 001; Qixiang Ye; Yi Yang 001; Jianbin Jiao (CoRR, 2018)

Domain Alignment with Triplets. - Weijian Deng; Liang Zheng 001; Jianbin Jiao (CoRR, 2018)

Learning from Web Data: the Benefit of Unsupervised Object Localization. - Xiaoxiao Sun 002; Liang Zheng 001; Yu-Kun Lai; Jufeng Yang (CoRR, 2018)

SIFT Meets CNN: A Decade Survey of Instance Retrieval. - Liang Zheng 001; Yi Yang 001; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Recognition From Web Data: A Progressive Filtering Approach. - Jufeng Yang; Xiaoxiao Sun 002; Yu-Kun Lai; Liang Zheng 001; Ming-Ming Cheng (IEEE Trans. Image Process., 2018)

Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval. - Yuting Hu; Liang Zheng 001; Yi Yang 001; Yongfeng Huang 001 (IEEE Trans. Multim., 2018)

Unsupervised Person Re-identification: Clustering and Fine-tuning. - Hehe Fan; Liang Zheng 001; Chenggang Yan 001; Yi Yang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2018)

A Discriminatively Learned CNN Embedding for Person Reidentification. - Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2018)

A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. - Yutian Lin; Xuanyi Dong; Liang Zheng 001; Yan Yan 002; Yi Yang 001 (AAAI, 2019)

A Locality Aware City-Scale Multi-Camera Vehicle Tracking System. - Yunzhong Hou; Heming Du; Liang Zheng 001 (CVPR Workshops, 2019)

Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation. - Yawei Luo; Liang Zheng 001; Tao Guan; Junqing Yu; Yi Yang 001 (CVPR, 2019)

Vehicle Re-Identification with Location and Time Stamps. - Kai Lv 002; Heming Du; Yunzhong Hou; Weijian Deng; Hao Sheng 001; Jianbin Jiao; Liang Zheng 001 (CVPR Workshops, 2019)

Dissecting Person Re-Identification From the Viewpoint of Viewpoint. - Xiaoxiao Sun 002; Liang Zheng 001 (CVPR, 2019)

Linkage Based Face Clustering via Graph Convolution Network. - Zhongdao Wang; Liang Zheng 001; Yali Li 001; Shengjin Wang (CVPR, 2019)

Joint Discriminative and Generative Learning for Person Re-Identification. - Zhedong Zheng; Xiaodong Yang 001; Zhiding Yu; Liang Zheng 001; Yi Yang 001; Jan Kautz (CVPR, 2019)

Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification. - Zhun Zhong; Liang Zheng 001; Zhiming Luo; Shaozi Li; Yi Yang 001 (CVPR, 2019)

A Neural Micro-Expression Recognizer. - Yuchi Liu; Heming Du; Liang Zheng 001; Tom Gedeon (FG, 2019)

Spotting Visual Keywords from Temporal Sliding Windows. - Yue Yao; Tianyu Wang; Heming Du; Liang Zheng 001; Tom Gedeon (ICMI, 2019)

Towards Real-Time Multi-Object Tracking. - Zhongdao Wang; Liang Zheng 001; Yixuan Liu 004; Shengjin Wang (CoRR, 2019)

Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking. - Yunzhong Hou; Liang Zheng 001; Zhongdao Wang; Shengjin Wang (CoRR, 2019)

Few-Example Object Detection with Model Communication. - Xuanyi Dong; Liang Zheng 001; Fan Ma; Yi Yang 001; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Improving person re-identification by attribute and identity learning. - Yutian Lin; Liang Zheng 001; Zhedong Zheng; Yu Wu 011; Zhilan Hu; Chenggang Yan 001; Yi Yang 001 (Pattern Recognit., 2019)

Pedestrian Alignment Network for Large-scale Person Re-Identification. - Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification. - Mang Ye; Jiawei Li 003; Andy Jinhua Ma; Liang Zheng 001; Pong C. Yuen (IEEE Trans. Image Process., 2019)

Pose-Invariant Embedding for Deep Person Re-Identification. - Liang Zheng 001; Yujia Huang; Huchuan Lu; Yi Yang 001 (IEEE Trans. Image Process., 2019)

CamStyle: A Novel Data Augmentation Method for Person Re-Identification. - Zhun Zhong; Liang Zheng 001; Zhedong Zheng; Shaozi Li; Yi Yang 001 (IEEE Trans. Image Process., 2019)

Modality-Invariant Image-Text Embedding for Image-Sentence Matching. - Ruoyu Liu; Yao Zhao 001; Shikui Wei; Liang Zheng 001; Yi Yang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Random Erasing Data Augmentation. - Zhun Zhong; Liang Zheng 001; Guoliang Kang; Shaozi Li; Yi Yang 001 (AAAI, 2020)

Learning to Structure an Image With Few Colors. - Yunzhong Hou; Liang Zheng 001; Stephen Gould (CVPR, 2020)

GradNet Image Denoising. - Yang Liu 249; Saeed Anwar; Liang Zheng 001; Qi Tian 001 (CVPR Workshops, 2020)

From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. - Kaiyue Lu; Nick Barnes; Saeed Anwar; Liang Zheng 001 (CVPR, 2020)

The 4th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Liang Zheng 001; Anuj Sharma; Rama Chellappa; Pranamesh Chakraborty (CVPR Workshops, 2020)

Circle Loss: A Unified Perspective of Pair Similarity Optimization. - Yifan Sun 003; Changmao Cheng; Yuhan Zhang 004; Chi Zhang 026; Liang Zheng 001; Zhongdao Wang; Yichen Wei (CVPR, 2020)

Correlating Edge, Pose With Parsing. - Ziwei Zhang 003; Chi Su; Liang Zheng 001; Xiaodong Xie (CVPR, 2020)

Learning Object Relation Graph and Tentative Policy for Visual Navigation. - Heming Du; Xin Yu 002; Liang Zheng 001 (ECCV (7), 2020)

Multiview Detection with Feature Perspective Transformation. - Yunzhong Hou; Liang Zheng 001; Stephen Gould (ECCV (7), 2020)

Towards Real-Time Multi-Object Tracking. - Zhongdao Wang; Liang Zheng 001; Yixuan Liu 004; Yali Li 001; Shengjin Wang (ECCV (11), 2020)

CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions. - Zhongdao Wang; Jingwei Zhang; Liang Zheng 001; Yixuan Liu 004; Yifan Sun 003; Yali Li 001; Shengjin Wang (ECCV (11), 2020)

Simulating Content Consistent Vehicle Datasets with Attribute Descent. - Yue Yao; Liang Zheng 001; Xiaodong Yang 001; Milind Naphade; Tom Gedeon (ECCV (6), 2020)

Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. - Jaskirat Singh; Liang Zheng 001 (CoRR, 2020)

Learning to simulate complex scenes. - Zhenfeng Xue; Weijie Mao; Liang Zheng 001 (CoRR, 2020)

Are Labels Necessary for Classifier Accuracy Evaluation? - Weijian Deng; Liang Zheng 001 (CoRR, 2020)

Source Free Domain Adaptation with Image Translation. - Yunzhong Hou; Liang Zheng 001 (CoRR, 2020)

Enhanced Scene Specificity with Sparse Dynamic Value Estimation. - Jaskirat Singh; Liang Zheng 001 (CoRR, 2020)

Thorax disease classification with attention guided convolutional neural network. - Qingji Guan; Yaping Huang; Zhun Zhong; Zhedong Zheng; Liang Zheng 001; Yi Yang 001 (Pattern Recognit. Lett., 2020)

Introduction to the Special Section on Contextual Object Analysis in Complex Scenes. - Meng Wang 001; Xianglong Liu 001; Xun Yang 001; Liang Zheng 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Pose-Based View Synthesis for Vehicles: A Perspective Aware Method. - Kai Lv 002; Hao Sheng 001; Zhang Xiong 001; Wei Li 022; Liang Zheng 001 (IEEE Trans. Image Process., 2020)

Dual-path Convolutional Image-Text Embeddings with Instance Loss. - Zhedong Zheng; Liang Zheng 001; Michael Garrett; Yi Yang 001; Mingliang Xu 001; Yi-Dong Shen (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Are Labels Always Necessary for Classifier Accuracy Evaluation? - Weijian Deng; Liang Zheng 001 (CVPR, 2021)

Visualizing Adapted Knowledge in Domain Transfer. - Yunzhong Hou; Liang Zheng 001 (CVPR, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Christian E. López; Anuj Sharma; Qi Feng 004; et al. (CVPR Workshops, 2021)

Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings. - Jaskirat Singh; Liang Zheng 001 (CVPR, 2021)

Positive Sample Propagation Along the Audio-Visual Event Line. - Jinxing Zhou; Liang Zheng 001; Yiran Zhong; Shijie Hao; Meng Wang 001 (CVPR, 2021)

Does Keypoint Estimation Benefit Object Detection? An Empirical Study of One-stage and Two-stage Detectors. - Yang Yang 002; Akshay Asthana; Liang Zheng 001 (FG, 2021)

Ranking Models in Unlabeled New Environments. - Xiaoxiao Sun 002; Yunzhong Hou; Weijian Deng; Hongdong Li; Liang Zheng 001 (ICCV, 2021)

VTNet: Visual Transformer Network for Object Goal Navigation. - Heming Du; Xin Yu 002; Liang Zheng 001 (ICLR, 2021)

What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? - Weijian Deng; Stephen Gould; Liang Zheng 001 (ICML, 2021)

Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). - Yunzhong Hou; Liang Zheng 001 (ACM Multimedia, 2021)

Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. - Jaskirat Singh; Liang Zheng 001 (CoRR, 2021)

The 5th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Xiaodong Yang 001; Yue Yao; Liang Zheng 001; Pranamesh Chakraborty; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CoRR, 2021)

Invertible Attention. - Jiajun Zha; Yiran Zhong; Jing Zhang 052; Richard Hartley 001; Liang Zheng 001 (CoRR, 2021)

Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking. - Yuchi Liu; Zhongdao Wang; Xiangxin Zhou; Liang Zheng 001 (CoRR, 2021)

Memory-Free Generative Replay For Class-Incremental Learning. - Xiaomeng Xin; Yiran Zhong; Yunzhong Hou; Jinjun Wang; Liang Zheng 001 (CoRR, 2021)

Label-Free Model Evaluation with Semi-Structured Dataset Representations. - Xiaoxiao Sun 002; Yunzhong Hou; Hongdong Li; Liang Zheng 001 (CoRR, 2021)

Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset). - Yuchi Liu; Zhongdao Wang; Tom Gedeon; Liang Zheng 001 (CoRR, 2021)

Intelli-Paint: Towards Developing Human-like Painting Agents. - Jaskirat Singh; Cameron Smith; Jose Echevarria; Liang Zheng 001 (CoRR, 2021)

Learning Part-based Convolutional Features for Person Re-Identification. - Yifan Sun 003; Liang Zheng 001; Yali Li 001; Yi Yang 001; Qi Tian 001; Shengjin Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning to Adapt Invariance in Memory for Person Re-Identification. - Zhun Zhong; Liang Zheng 001; Zhiming Luo; Shaozi Li; Yi Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Rethinking Triplet Loss for Domain Adaptation. - Weijian Deng; Liang Zheng 001; Yifan Sun 003; Jianbin Jiao (IEEE Trans. Circuits Syst. Video Technol., 2021)

Improving Driver Gaze Prediction With Reinforced Attention. - Kai Lv 002; Hao Sheng 001; Zhang Xiong 001; Wei Li 022; Liang Zheng 001 (IEEE Trans. Multim., 2021)

The 6th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Archana Venkatachalapathy; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2022)

How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? - Yuchi Liu; Zhongdao Wang; Tom Gedeon; Liang Zheng 001 (ECCV (8), 2022)

Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents. - Jaskirat Singh; Cameron Smith; Jose Echevarria; Liang Zheng 001 (ECCV (16), 2022)

Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing. - Jaskirat Singh; Liang Zheng 001; Cameron Smith; Jose Echevarria (ECCV (14), 2022)

On the Strong Correlation Between Model Invariance and Generalization. - Weijian Deng; Stephen Gould; Liang Zheng 001 (NeurIPS, 2022)

Depth Completion Auto-Encoder. - Kaiyue Lu; Nick Barnes; Saeed Anwar; Liang Zheng 001 (WACV (Workshops), 2022)

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. - Yue Yao; Liang Zheng 001; Xiaodong Yang 001; Milind Naphade; Tom Gedeon (CoRR, 2022)

Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation. - Yunzhong Hou; Stephen Gould; Liang Zheng 001 (CoRR, 2022)

Learning to Structure an Image with Few Colors and Beyond. - Yunzhong Hou; Liang Zheng 001; Stephen Gould (CoRR, 2022)

Generalizable Re-Identification from Videos with Cycle Association. - Zhongdao Wang; Zhaopeng Dou; Jingwei Zhang; Liang Zheng 001; Yifan Sun 003; Yali Li 001; Shengjin Wang (CoRR, 2022)

Category-Level Adversarial Adaptation for Semantic Segmentation Using Purified Features. - Yawei Luo; Ping Liu 004; Liang Zheng 001; Tao Guan; Junqing Yu; Yi Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

On the Correlation Among Edge, Pose and Parsing. - Ziwei Zhang 003; Chi Su; Liang Zheng 001; Xiaodong Xie; Yuan Li 014 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Boosting Semi-Supervised Face Recognition With Noise Robustness. - Yuchi Liu; Hailin Shi; Hang Du; Rui Zhu; Jun Wang 127; Liang Zheng 001; Tao Mei 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Fine-Grained Classification via Categorical Memory Networks. - Weijian Deng; Joshua Marsh; Stephen Gould; Liang Zheng 001 (IEEE Trans. Image Process., 2022)

Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. - Yunzhong Hou; Zhongdao Wang; Shengjin Wang; Liang Zheng 001 (IEEE Trans. Image Process., 2022)

Learning to Simulate Complex Scenes for Street Scene Segmentation. - Zhenfeng Xue; Weijie Mao; Liang Zheng 001 (IEEE Trans. Multim., 2022)

Introduction to the Special Section on Learning Representations, Similarity, and Associations in Dynamic Multimedia Environments. - Xun Yang 001; Liang Zheng 001; Elisa Ricci 001; Meng Wang 001 (ACM Trans. Multim. Comput. Commun. Appl., 2022)

The 7th AI City Challenge. - Milind Naphade; Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Qi Feng 004; Vitaly Ablavsky; et al. (CVPR Workshops, 2023)

High-Fidelity Guided Image Synthesis with Latent Diffusion Models. - Jaskirat Singh; Stephen Gould; Liang Zheng 001 (CVPR, 2023)

A Bag-of-Prototypes Representation for Dataset-Level Applications. - Weijie Tu; Weijian Deng; Tom Gedeon; Liang Zheng 001 (CVPR, 2023)

Large-scale Training Data Search for Object Re-identification. - Yue Yao; Tom Gedeon; Liang Zheng 001 (CVPR, 2023)

Training Data Optimization in Human-Centric Analysis. - Liang Zheng 001 (HCMA@MM, 2023)

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. - Zijian Wang 009; Yadan Luo; Liang Zheng 001; Zi Huang; Mahsa Baktashmotlagh (ICCV, 2023)

Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. - Yuli Zou; Weijian Deng; Liang Zheng 001 (ICCV, 2023)

CircNet: Meshing 3D Point Clouds with Circumcenter Detection. - Huan Lei; Ruitao Leng; Liang Zheng 001; Hongdong Li (ICLR, 2023)

Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. - Weijian Deng; Yumin Suh; Stephen Gould; Liang Zheng 001 (ICML, 2023)

Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback. - Jaskirat Singh; Liang Zheng 001 (NeurIPS, 2023)

Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? - Xiaoxiao Sun 002; Nidham Gazagnadou; Vivek Sharma 001; Lingjuan Lyu; Hongdong Li; Liang Zheng 001 (NeurIPS, 2023)

Split to Learn: Gradient Split for Multi-Task Human Image Analysis. - Weijian Deng; Yumin Suh; Xiang Yu 002; Masoud Faraki; Liang Zheng 001; Manmohan Chandraker (WACV, 2023)

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. - Weijian Deng; Yumin Suh; Stephen Gould; Liang Zheng 001 (CoRR, 2023)

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift. - Yuli Zou; Weijian Deng; Liang Zheng 001 (CoRR, 2023)

Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances. - Yunzhong Hou; Stephen Gould; Liang Zheng 001 (CoRR, 2023)

Large-scale Training Data Search for Object Re-identification. - Yue Yao; Huan Lei; Tom Gedeon; Liang Zheng 001 (CoRR, 2023)

Training with Product Digital Twins for AutoRetail Checkout. - Yue Yao; Xinyu Tian; Zheng Tang; Sujit Biswas; Huan Lei; Tom Gedeon; Liang Zheng 001 (CoRR, 2023)

Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic. - Xiaoxiao Sun 002; Yue Yao; Shengjin Wang; Hongdong Li; Liang Zheng 001 (CoRR, 2023)

Optimizing Camera Configurations for Multi-View Pedestrian Detection. - Yunzhong Hou; Xingjian Leng; Tom Gedeon; Liang Zheng 001 (CoRR, 2023)

Guest Editorial: Special Issue on Machine Learning and Signal Processing. - Qian Yu; Liang Zheng 001; Lu Sheng; Dong Xu 001 (J. Signal Process. Syst., 2023)

A Study of Using Synthetic Data for Effective Association Knowledge Learning. - Yuchi Liu; Zhongdao Wang; Xiangxin Zhou; Liang Zheng 001 (Mach. Intell. Res., 2023)

U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. - Zhedong Zheng; Liang Zheng 001; Yi Yang 001; Fei Wu 001 (Int. J. Comput. Vis., 2023)

Multiview Detection with Cardboard Human Modeling. - Jiahao Ma; Zicheng Duan; Liang Zheng 001; Chuong Nguyen (ACCV (6), 2024)

Learning to Select Views for Efficient Multi-View Understanding. - Yunzhong Hou; Stephen Gould; Liang Zheng 001 (CVPR, 2024)

SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control. - Jaskirat Singh; Jianming Zhang; Qing Liu; Cameron Smith; Zhe Lin; Liang Zheng 001 (CVPR, 2024)

The 8th AI City Challenge. - Shuo Wang; David C. Anastasiu; Zheng Tang; Ming-Ching Chang; Yue Yao; Liang Zheng 001; Mohammed Shaiqur Rahman; Meenakshi S. Arya; Anuj Sharma; Pranamesh Chakraborty; Sanjita Prajapati; Quan Kong; et al. (CVPR Workshops, 2024)

Adaptive Multi-head Contrastive Learning. - Lei Wang 108; Piotr Koniusz; Tom Gedeon; Liang Zheng 001 (ECCV (69), 2024)

Training A Small Emotional Vision Language Model for Visual Art Comprehension. - Jing Zhang 089; Liang Zheng 001; Meng Wang 001; Dan Guo 001 (ECCV (67), 2024)

The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (ECCV (48), 2024)

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. - Xiaoxiao Sun 002; Xingjian Leng; Zijian Wang 009; Yang Yang 002; Zi Huang; Liang Zheng 001 (ICLR, 2024)

Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic. - Xiaoxiao Sun 002; Yue Yao; Shengjin Wang; Hongdong Li; Liang Zheng 001 (ICLR, 2024)

Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. - Yang Yang 002; Wenhai Wang; Zhe Chen 017; Jifeng Dai; Liang Zheng 001 (ICLR, 2024)

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (ICLR, 2024)

Taylor Videos for Action Recognition. - Lei Wang 108; Xiuyuan Yuan; Tom Gedeon; Liang Zheng 001 (ICML, 2024)

MORE'24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities. - Zhedong Zheng; Yaxiong Wang; Xuelin Qian; Zhun Zhong; Zheng Wang 007; Liang Zheng 001 (ICMR, 2024)

Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. - Lei Wang 001; Jun Liu 036; Liang Zheng 001; Tom Gedeon; Piotr Koniusz (CoRR, 2024)

Strong and Controllable Blind Image Decomposition. - Zeyu Zhang; Junlin Han; Chenhui Gou; Hongdong Li; Liang Zheng 001 (CoRR, 2024)

Optimizing Calibration by Gaining Aware of Prediction Correctness. - Yuchi Liu; Lei Wang 108; Yuli Zou; James Zou 001; Liang Zheng 001 (CoRR, 2024)

Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. - Yuchi Liu; Jaskirat Singh; Gaowen Liu; Ali Payani; Liang Zheng 001 (CoRR, 2024)

Assessing Model Generalization in Vicinity. - Yuchi Liu; Yifan Sun 003; Jingdong Wang 001; Liang Zheng 001 (CoRR, 2024)

Can We Predict Performance of Large Models across Vision-Language Tasks? - Qinyu Zhao; Ming Xu 015; Kartik Gupta; Akshay Asthana; Liang Zheng 001; Stephen Gould (CoRR, 2024)

Negative Token Merging: Image-based Adversarial Feature Guidance. - Jaskirat Singh; Lindsey Li; Weijia Shi; Ranjay Krishna; Yejin Choi 001; Pang Wei Koh; Michael F. Cohen; Stephen Gould; Liang Zheng 001; Luke Zettlemoyer (CoRR, 2024)

Learning Camera Movement Control from Real-World Drone Videos. - Yunzhong Hou; Liang Zheng 001; Philip Torr 001 (CoRR, 2024)

Scalable Deep Color Quantization: A Cluster Imitation Approach. - Yunzhong Hou; Stephen Gould; Liang Zheng 001 (IEEE Trans. Image Process., 2024)

What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? - Weijie Tu; Weijian Deng; Liang Zheng 001; Tom Gedeon (Trans. Mach. Learn. Res., 2024)

AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation? - Weijian Deng; Liang Zheng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

View-coherent correlation consistency for semi-supervised semantic segmentation. - Yunzhong Hou; Stephen Gould; Liang Zheng 001 (Pattern Recognit., 2024)

Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. - Yue Yao; Liang Zheng 001; Xiaodong Yang 001; Milind Napthade; Tom Gedeon (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. - Lei Wang 108; Jun Liu 036; Liang Zheng 001; Tom Gedeon; Piotr Koniusz (Int. J. Comput. Vis., 2024)

Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors. - Haiyu Wu; Jaskirat Singh; Sicong Tian; Liang Zheng 001; Kevin W. Bowyer (ICLR, 2025)

MORE'25 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities. - Yaxiong Wang; Yunzhong Hou; Shuyu Yang; Zhedong Zheng; Zhun Zhong; Liang Zheng 001 (WWW (Companion Volume), 2025)

ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative Models. - Qinyu Zhao; Stephen Gould; Liang Zheng 001 (CoRR, 2025)

In Search of Lost Online Test-Time Adaptation: A Survey. - Zixin Wang; Yadan Luo; Liang Zheng 001; Zhuoxiao Chen; Sen Wang 001; Zi Huang (Int. J. Comput. Vis., 2025)

R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents. - Naman Jain; Jaskirat Singh; Manish Shetty; Liang Zheng 001; Koushik Sen; Ion Stoica (CoRR, 2025)

REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers. - Xingjian Leng; Jaskirat Singh; Yunzhong Hou; Zhenchang Xing; Saining Xie; Liang Zheng 001 (CoRR, 2025)

DiSA: Diffusion Step Annealing in Autoregressive Image Generation. - Qinyu Zhao; Jaskirat Singh; Ming Xu 015; Akshay Asthana; Stephen Gould; Liang Zheng 001 (CoRR, 2025)

Vec2Face+ for Face Dataset Generation. - Haiyu Wu; Jaskirat Singh; Sicong Tian; Liang Zheng 001; Kevin W. Bowyer (CoRR, 2025)

Effective Training Data Synthesis for Improving MLLM Chart Understanding. - Yuwei Yang; Zeyu Zhang; Yunzhong Hou; Zhuowan Li; Gaowen Liu; Ali Payani; Yuan-Sen Ting; Liang Zheng 001 (CoRR, 2025)