Liang Zheng - RankMe

269 papers A* 54A 1B 6Misc 1Journal 175Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion Models. CoRR Francis Snelgar, Ming Xu, Stephen Gould, Liang Zheng, Akshay Asthana
2026	J	`jnl`	Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls. CoRR Zeyu Zhang, Guohao Li, Zhenchang Xing, Alexandros Apostolopoulos, Yu Lin Lee, Liang Zheng
2026	J	`jnl`	Gromov Wasserstein Optimal Transport for Semantic Correspondences. CoRR Francis Snelgar, Stephen Gould, Ming Xu, Liang Zheng, Akshay Asthana
2025	J	`jnl`	ARINAR: Bi-Level Autoregressive Feature-by-Feature Generative Models. CoRR Qinyu Zhao, Stephen Gould, Liang Zheng
2025	A*	`conf`	Can We Predict Performance of Large Models across Vision-Language Tasks? ICML Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2025	J	`jnl`	Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking. CoRR Weijian Deng, Weijie Tu, Ibrahim Radwan, Mohammad Abu Alsheikh, Stephen Gould, Liang Zheng
2025	B	`conf`	Context-Dependent Anomaly Action Recognition. FG Nutthadech Banditakkarakul, Ming Xu, Bo Chen, Akshay Asthana, Liang Zheng, Stephen Gould
2025	J	`jnl`	DiSA: Diffusion Step Annealing in Autoregressive Image Generation. CoRR Qinyu Zhao, Jaskirat Singh, Ming Xu, Akshay Asthana, Stephen Gould, Liang Zheng
2025	J	`jnl`	Effective Training Data Synthesis for Improving MLLM Chart Understanding. CoRR Yuwei Yang, Zeyu Zhang, Yunzhong Hou, Zhuowan Li, Gaowen Liu, Ali Payani, Yuan-Sen Ting, Liang Zheng
2025	B	`conf`	Flexible Geometric Guidance for Probabilistic Human Pose Estimation with Diffusion Models. FG Francis Snelgar, Ming Xu, Stephen Gould, Liang Zheng, Akshay Asthana
2025	J	`jnl`	In Search of Lost Online Test-Time Adaptation: A Survey. Int. J. Comput. Vis. Zixin Wang, Yadan Luo, Liang Zheng, Zhuoxiao Chen, Sen Wang, Zi Huang
2025	—	`conf`	MORE'25 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities. WWW (Companion Volume) Yaxiong Wang, Yunzhong Hou, Shuyu Yang, Zhedong Zheng, Zhun Zhong, Liang Zheng
2025	J	`jnl`	R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents. CoRR Naman Jain, Jaskirat Singh, Manish Shetty, Liang Zheng, Koushik Sen, Ion Stoica
2025	J	`jnl`	REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers. CoRR Xingjian Leng, Jaskirat Singh, Yunzhong Hou, Zhenchang Xing, Saining Xie, Liang Zheng
2025	J	`jnl`	SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows. CoRR Qinyu Zhao, Guangting Zheng, Tao Yang, Rui Zhu, Xingjian Leng, Stephen Gould, Liang Zheng
2025	J	`jnl`	Vec2Face+ for Face Dataset Generation. CoRR Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin W. Bowyer
2025	A*	`conf`	Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors. ICLR Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin W. Bowyer
2025	J	`jnl`	What matters for Representation Alignment: Global Information or Spatial Structure? CoRR Jaskirat Singh, Xingjian Leng, Zongze Wu, Liang Zheng, Richard Zhang, Eli Shechtman, Saining Xie
2024	—	`conf`	Adaptive Multi-head Contrastive Learning. ECCV (69) Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
2024	A*	`conf`	Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic. ICLR Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng
2024	J	`jnl`	Assessing Model Generalization in Vicinity. CoRR Yuchi Liu, Yifan Sun, Jingdong Wang, Liang Zheng
2024	J	`jnl`	Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Yue Yao, Liang Zheng, Xiaodong Yang, Milind Napthade, Tom Gedeon
2024	J	`jnl`	AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation? IEEE Trans. Pattern Anal. Mach. Intell. Weijian Deng, Liang Zheng
2024	A*	`conf`	Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. ICLR Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng
2024	J	`jnl`	Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. CoRR Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng
2024	A*	`conf`	CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. ICLR Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng
2024	J	`jnl`	Can We Predict Performance of Large Models across Vision-Language Tasks? CoRR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	J	`jnl`	Learning Camera Movement Control from Real-World Drone Videos. CoRR Yunzhong Hou, Liang Zheng, Philip Torr
2024	A*	`conf`	Learning to Select Views for Efficient Multi-View Understanding. CVPR Yunzhong Hou, Stephen Gould, Liang Zheng
2024	B	`conf`	MORE'24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities. ICMR Zhedong Zheng, Yaxiong Wang, Xuelin Qian, Zhun Zhong, Zheng Wang, Liang Zheng
2024	J	`jnl`	Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. Int. J. Comput. Vis. Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz
2024	J	`jnl`	Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. CoRR Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz
2024	—	`conf`	Multiview Detection with Cardboard Human Modeling. ACCV (6) Jiahao Ma, Zicheng Duan, Liang Zheng, Chuong Nguyen
2024	J	`jnl`	Negative Token Merging: Image-based Adversarial Feature Guidance. CoRR Jaskirat Singh, Lindsey Li, Weijia Shi, Ranjay Krishna, Yejin Choi, Pang Wei Koh, Michael F. Cohen, Stephen Gould, Liang Zheng, Luke Zettlemoyer
2024	J	`jnl`	Optimizing Calibration by Gaining Aware of Prediction Correctness. CoRR Yuchi Liu, Lei Wang, Yuli Zou, James Zou, Liang Zheng
2024	—	`ed.`	Proceedings of the 1st ICMR Workshop on Multimedia Object Re-Identification, MORE 2024, Phuket, Thailand, 10 June 2024 MORE@ICMR Zhedong Zheng, Yaxiong Wang, Xuelin Qian, Zhun Zhong, Zheng Wang, Liang Zheng
2024	A*	`ed.`	Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024 ACM Multimedia Jianfei Cai, Mohan S. Kankanhalli, Balakrishnan Prabhakaran, Susanne Boll, Ramanathan Subramanian, Liang Zheng, Vivek K. Singh, Pablo César, Lexing Xie, Dong Xu
2024	J	`jnl`	Scalable Deep Color Quantization: A Cluster Imitation Approach. IEEE Trans. Image Process. Yunzhong Hou, Stephen Gould, Liang Zheng
2024	A*	`conf`	SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control. CVPR Jaskirat Singh, Jianming Zhang, Qing Liu, Cameron Smith, Zhe Lin, Liang Zheng
2024	J	`jnl`	Strong and Controllable Blind Image Decomposition. CoRR Zeyu Zhang, Junlin Han, Chenhui Gou, Hongdong Li, Liang Zheng
2024	A*	`conf`	Taylor Videos for Action Recognition. ICML Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng
2024	J	`jnl`	Taylor Videos for Action Recognition. CoRR Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng
2024	—	`conf`	The 8th AI City Challenge. CVPR Workshops Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa
2024	J	`jnl`	The 8th AI City Challenge. CoRR Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa
2024	—	`conf`	The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? ECCV (48) Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	J	`jnl`	The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? CoRR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	J	`jnl`	Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. CoRR Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng
2024	A*	`conf`	Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	J	`jnl`	Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
2024	—	`conf`	Training A Small Emotional Vision Language Model for Visual Art Comprehension. ECCV (67) Jing Zhang, Liang Zheng, Meng Wang, Dan Guo
2024	J	`jnl`	Training A Small Emotional Vision Language Model for Visual Art Comprehension. CoRR Jing Zhang, Liang Zheng, Dan Guo, Meng Wang
2024	J	`jnl`	Vec2Face: Scaling Face Dataset Generation with Loosely Constrained Vectors. CoRR Haiyu Wu, Jaskirat Singh, Sicong Tian, Liang Zheng, Kevin W. Bowyer
2024	J	`jnl`	View-coherent correlation consistency for semi-supervised semantic segmentation. Pattern Recognit. Yunzhong Hou, Stephen Gould, Liang Zheng
2024	J	`jnl`	What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? CoRR Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon
2024	J	`jnl`	What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Trans. Mach. Learn. Res. Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon
2023	A*	`conf`	A Bag-of-Prototypes Representation for Dataset-Level Applications. CVPR Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng
2023	J	`jnl`	A Bag-of-Prototypes Representation for Dataset-Level Applications. CoRR Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng
2023	J	`jnl`	A Study of Using Synthetic Data for Effective Association Knowledge Learning. Mach. Intell. Res. Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
2023	J	`jnl`	Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift. CoRR Yuli Zou, Weijian Deng, Liang Zheng
2023	A*	`conf`	Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. ICCV Yuli Zou, Weijian Deng, Liang Zheng
2023	J	`jnl`	Adaptive Multi-head Contrastive Learning. CoRR Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
2023	J	`jnl`	Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic. CoRR Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng
2023	J	`jnl`	CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. CoRR Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng
2023	A*	`conf`	CircNet: Meshing 3D Point Clouds with Circumcenter Detection. ICLR Huan Lei, Ruitao Leng, Liang Zheng, Hongdong Li
2023	J	`jnl`	CircNet: Meshing 3D Point Clouds with Circumcenter Detection. CoRR Huan Lei, Ruitao Leng, Liang Zheng, Hongdong Li
2023	J	`jnl`	Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. CoRR Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
2023	A*	`conf`	Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
2023	A*	`conf`	Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback. NeurIPS Jaskirat Singh, Liang Zheng
2023	J	`jnl`	Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback. CoRR Jaskirat Singh, Liang Zheng
2023	J	`jnl`	Guest Editorial: Special Issue on Machine Learning and Signal Processing. J. Signal Process. Syst. Qian Yu, Liang Zheng, Lu Sheng, Dong Xu
2023	A*	`conf`	High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CVPR Jaskirat Singh, Stephen Gould, Liang Zheng
2023	A*	`conf`	How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. ICCV Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh
2023	J	`jnl`	In Search of Lost Online Test-time Adaptation: A Survey. CoRR Zixin Wang, Yadan Luo, Liang Zheng, Zhuoxiao Chen, Sen Wang, Zi Huang
2023	A*	`conf`	Large-scale Training Data Search for Object Re-identification. CVPR Yue Yao, Tom Gedeon, Liang Zheng
2023	J	`jnl`	Large-scale Training Data Search for Object Re-identification. CoRR Yue Yao, Huan Lei, Tom Gedeon, Liang Zheng
2023	J	`jnl`	Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances. CoRR Yunzhong Hou, Stephen Gould, Liang Zheng
2023	J	`jnl`	Optimizing Camera Configurations for Multi-View Pedestrian Detection. CoRR Yunzhong Hou, Xingjian Leng, Tom Gedeon, Liang Zheng
2023	A*	`conf`	Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
2023	J	`jnl`	Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? CoRR Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
2023	J	`jnl`	SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control. CoRR Jaskirat Singh, Jianming Zhang, Qing Liu, Cameron Smith, Zhe Lin, Liang Zheng
2023	A	`conf`	Split to Learn: Gradient Split for Multi-Task Human Image Analysis. WACV Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker
2023	—	`conf`	The 7th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa
2023	J	`jnl`	The 7th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa
2023	—	`conf`	Training Data Optimization in Human-Centric Analysis. HCMA@MM Liang Zheng
2023	J	`jnl`	Training with Product Digital Twins for AutoRetail Checkout. CoRR Yue Yao, Xinyu Tian, Zheng Tang, Sujit Biswas, Huan Lei, Tom Gedeon, Liang Zheng
2023	J	`jnl`	U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. Int. J. Comput. Vis. Zhedong Zheng, Liang Zheng, Yi Yang, Fei Wu
2022	J	`jnl`	Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. IEEE Trans. Image Process. Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng
2022	J	`jnl`	Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. CoRR Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon
2022	J	`jnl`	Boosting Semi-Supervised Face Recognition With Noise Robustness. IEEE Trans. Circuits Syst. Video Technol. Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei
2022	J	`jnl`	Category-Level Adversarial Adaptation for Semantic Segmentation Using Purified Features. IEEE Trans. Pattern Anal. Mach. Intell. Yawei Luo, Ping Liu, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
2022	—	`conf`	Depth Completion Auto-Encoder. WACV (Workshops) Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
2022	J	`jnl`	Fine-Grained Classification via Categorical Memory Networks. IEEE Trans. Image Process. Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng
2022	J	`jnl`	Generalizable Re-Identification from Videos with Cycle Association. CoRR Zhongdao Wang, Zhaopeng Dou, Jingwei Zhang, Liang Zheng, Yifan Sun, Yali Li, Shengjin Wang
2022	J	`jnl`	High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CoRR Jaskirat Singh, Stephen Gould, Liang Zheng
2022	—	`conf`	How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? ECCV (8) Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng
2022	—	`conf`	Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents. ECCV (16) Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng
2022	J	`jnl`	Introduction to the Special Section on Learning Representations, Similarity, and Associations in Dynamic Multimedia Environments. ACM Trans. Multim. Comput. Commun. Appl. Xun Yang, Liang Zheng, Elisa Ricci, Meng Wang
2022	J	`jnl`	Learning to Simulate Complex Scenes for Street Scene Segmentation. IEEE Trans. Multim. Zhenfeng Xue, Weijie Mao, Liang Zheng
2022	J	`jnl`	Learning to Structure an Image with Few Colors and Beyond. CoRR Yunzhong Hou, Liang Zheng, Stephen Gould
2022	J	`jnl`	Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation. CoRR Yunzhong Hou, Stephen Gould, Liang Zheng
2022	J	`jnl`	On the Correlation Among Edge, Pose and Parsing. IEEE Trans. Pattern Anal. Mach. Intell. Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie, Yuan Li
2022	A*	`conf`	On the Strong Correlation Between Model Invariance and Generalization. NeurIPS Weijian Deng, Stephen Gould, Liang Zheng
2022	J	`jnl`	On the Strong Correlation Between Model Invariance and Generalization. CoRR Weijian Deng, Stephen Gould, Liang Zheng
2022	—	`conf`	Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing. ECCV (14) Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria
2022	J	`jnl`	Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing. CoRR Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria
2022	—	`conf`	The 6th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
2022	J	`jnl`	The 6th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
2021	J	`jnl`	Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset). CoRR Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng
2021	J	`jnl`	Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. CoRR Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng
2021	A*	`conf`	Are Labels Always Necessary for Classifier Accuracy Evaluation? CVPR Weijian Deng, Liang Zheng
2021	J	`jnl`	Boosting Semi-Supervised Face Recognition with Noise Robustness. CoRR Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei
2021	A*	`conf`	Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings. CVPR Jaskirat Singh, Liang Zheng
2021	B	`conf`	Does Keypoint Estimation Benefit Object Detection? An Empirical Study of One-stage and Two-stage Detectors. FG Yang Yang, Akshay Asthana, Liang Zheng
2021	J	`jnl`	Improving Driver Gaze Prediction With Reinforced Attention. IEEE Trans. Multim. Kai Lv, Hao Sheng, Zhang Xiong, Wei Li, Liang Zheng
2021	J	`jnl`	Intelli-Paint: Towards Developing Human-like Painting Agents. CoRR Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng
2021	J	`jnl`	Invertible Attention. CoRR Jiajun Zha, Yiran Zhong, Jing Zhang, Richard Hartley, Liang Zheng
2021	J	`jnl`	Label-Free Model Evaluation with Semi-Structured Dataset Representations. CoRR Xiaoxiao Sun, Yunzhong Hou, Hongdong Li, Liang Zheng
2021	J	`jnl`	Learning Part-based Convolutional Features for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Sun, Liang Zheng, Yali Li, Yi Yang, Qi Tian, Shengjin Wang
2021	J	`jnl`	Learning to Adapt Invariance in Memory for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
2021	J	`jnl`	Memory-Free Generative Replay For Class-Incremental Learning. CoRR Xiaomeng Xin, Yiran Zhong, Yunzhong Hou, Jinjun Wang, Liang Zheng
2021	A*	`conf`	Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). ACM Multimedia Yunzhong Hou, Liang Zheng
2021	J	`jnl`	Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). CoRR Yunzhong Hou, Liang Zheng
2021	A*	`conf`	Positive Sample Propagation Along the Audio-Visual Event Line. CVPR Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang
2021	J	`jnl`	Positive Sample Propagation along the Audio-Visual Event Line. CoRR Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang
2021	A*	`conf`	Ranking Models in Unlabeled New Environments. ICCV Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng
2021	J	`jnl`	Ranking Models in Unlabeled New Environments. CoRR Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng
2021	J	`jnl`	Rethinking Triplet Loss for Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Weijian Deng, Liang Zheng, Yifan Sun, Jianbin Jiao
2021	J	`jnl`	Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. CoRR Jaskirat Singh, Liang Zheng
2021	J	`jnl`	Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking. CoRR Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
2021	—	`conf`	The 5th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. López, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
2021	J	`jnl`	The 5th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
2021	A*	`conf`	VTNet: Visual Transformer Network for Object Goal Navigation. ICLR Heming Du, Xin Yu, Liang Zheng
2021	J	`jnl`	VTNet: Visual Transformer Network for Object Goal Navigation. CoRR Heming Du, Xin Yu, Liang Zheng
2021	A*	`conf`	Visualizing Adapted Knowledge in Domain Transfer. CVPR Yunzhong Hou, Liang Zheng
2021	J	`jnl`	Visualizing Adapted Knowledge in Domain Transfer. CoRR Yunzhong Hou, Liang Zheng
2021	A*	`conf`	What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML Weijian Deng, Stephen Gould, Liang Zheng
2021	J	`jnl`	What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? CoRR Weijian Deng, Stephen Gould, Liang Zheng
2020	J	`jnl`	Are Labels Necessary for Classifier Accuracy Evaluation? CoRR Weijian Deng, Liang Zheng
2020	A*	`conf`	Circle Loss: A Unified Perspective of Pair Similarity Optimization. CVPR Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei
2020	J	`jnl`	Circle Loss: A Unified Perspective of Pair Similarity Optimization. CoRR Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei
2020	J	`jnl`	Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings. CoRR Jaskirat Singh, Liang Zheng
2020	A*	`conf`	Correlating Edge, Pose With Parsing. CVPR Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie
2020	J	`jnl`	Correlating Edge, Pose with Parsing. CoRR Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie
2020	—	`conf`	CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions. ECCV (11) Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang
2020	J	`jnl`	CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions. CoRR Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang
2020	J	`jnl`	Dual-path Convolutional Image-Text Embeddings with Instance Loss. ACM Trans. Multim. Comput. Commun. Appl. Zhedong Zheng, Liang Zheng, Michael Garrett, Yi Yang, Mingliang Xu, Yi-Dong Shen
2020	J	`jnl`	Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. CoRR Jaskirat Singh, Liang Zheng
2020	J	`jnl`	Enhanced Scene Specificity with Sparse Dynamic Value Estimation. CoRR Jaskirat Singh, Liang Zheng
2020	J	`jnl`	Fine-grained Classification via Categorical Memory Networks. CoRR Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng
2020	A*	`conf`	From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. CVPR Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
2020	—	`conf`	GradNet Image Denoising. CVPR Workshops Yang Liu, Saeed Anwar, Liang Zheng, Qi Tian
2020	J	`jnl`	Introduction to the Special Section on Contextual Object Analysis in Complex Scenes. IEEE Trans. Circuits Syst. Video Technol. Meng Wang, Xianglong Liu, Xun Yang, Liang Zheng
2020	—	`conf`	Learning Object Relation Graph and Tentative Policy for Visual Navigation. ECCV (7) Heming Du, Xin Yu, Liang Zheng
2020	J	`jnl`	Learning Object Relation Graph and Tentative Policy for Visual Navigation. CoRR Heming Du, Xin Yu, Liang Zheng
2020	A*	`conf`	Learning to Structure an Image With Few Colors. CVPR Yunzhong Hou, Liang Zheng, Stephen Gould
2020	J	`jnl`	Learning to Structure an Image with Few Colors. CoRR Yunzhong Hou, Liang Zheng, Stephen Gould
2020	J	`jnl`	Learning to simulate complex scenes. CoRR Zhenfeng Xue, Weijie Mao, Liang Zheng
2020	—	`conf`	Multiview Detection with Feature Perspective Transformation. ECCV (7) Yunzhong Hou, Liang Zheng, Stephen Gould
2020	J	`jnl`	Multiview Detection with Feature Perspective Transformation. CoRR Yunzhong Hou, Liang Zheng, Stephen Gould
2020	J	`jnl`	Pose-Based View Synthesis for Vehicles: A Perspective Aware Method. IEEE Trans. Image Process. Kai Lv, Hao Sheng, Zhang Xiong, Wei Li, Liang Zheng
2020	A*	`conf`	Random Erasing Data Augmentation. AAAI Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang
2020	—	`conf`	Simulating Content Consistent Vehicle Datasets with Attribute Descent. ECCV (6) Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon
2020	J	`jnl`	Source Free Domain Adaptation with Image Translation. CoRR Yunzhong Hou, Liang Zheng
2020	—	`conf`	The 4th AI City Challenge. CVPR Workshops Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty
2020	J	`jnl`	The 4th AI City Challenge. CoRR Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty
2020	J	`jnl`	Thorax disease classification with attention guided convolutional neural network. Pattern Recognit. Lett. Qingji Guan, Yaping Huang, Zhun Zhong, Zhedong Zheng, Liang Zheng, Yi Yang
2020	—	`conf`	Towards Real-Time Multi-Object Tracking. ECCV (11) Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, Shengjin Wang
2019	A*	`conf`	A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification. AAAI Yutian Lin, Xuanyi Dong, Liang Zheng, Yan Yan, Yi Yang
2019	—	`conf`	A Locality Aware City-Scale Multi-Camera Vehicle Tracking System. CVPR Workshops Yunzhong Hou, Heming Du, Liang Zheng
2019	B	`conf`	A Neural Micro-Expression Recognizer. FG Yuchi Liu, Heming Du, Liang Zheng, Tom Gedeon
2019	J	`jnl`	CamStyle: A Novel Data Augmentation Method for Person Re-Identification. IEEE Trans. Image Process. Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang
2019	A*	`conf`	Dissecting Person Re-Identification From the Viewpoint of Viewpoint. CVPR Xiaoxiao Sun, Liang Zheng
2019	J	`jnl`	Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification. IEEE Trans. Image Process. Mang Ye, Jiawei Li, Andy Jinhua Ma, Liang Zheng, Pong C. Yuen
2019	J	`jnl`	Few-Example Object Detection with Model Communication. IEEE Trans. Pattern Anal. Mach. Intell. Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, Deyu Meng
2019	J	`jnl`	Improving person re-identification by attribute and identity learning. Pattern Recognit. Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, Zhilan Hu, Chenggang Yan, Yi Yang
2019	A*	`conf`	Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification. CVPR Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
2019	J	`jnl`	Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification. CoRR Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
2019	A*	`conf`	Joint Discriminative and Generative Learning for Person Re-Identification. CVPR Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz
2019	J	`jnl`	Joint Discriminative and Generative Learning for Person Re-identification. CoRR Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang, Jan Kautz
2019	J	`jnl`	Learning to Adapt Invariance in Memory for Person Re-identification. CoRR Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
2019	A*	`conf`	Linkage Based Face Clustering via Graph Convolution Network. CVPR Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
2019	J	`jnl`	Linkage Based Face Clustering via Graph Convolution Network. CoRR Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
2019	J	`jnl`	Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking. CoRR Yunzhong Hou, Liang Zheng, Zhongdao Wang, Shengjin Wang
2019	J	`jnl`	Modality-Invariant Image-Text Embedding for Image-Sentence Matching. ACM Trans. Multim. Comput. Commun. Appl. Ruoyu Liu, Yao Zhao, Shikui Wei, Liang Zheng, Yi Yang
2019	J	`jnl`	Pedestrian Alignment Network for Large-scale Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Zhedong Zheng, Liang Zheng, Yi Yang
2019	J	`jnl`	Pose-Invariant Embedding for Deep Person Re-Identification. IEEE Trans. Image Process. Liang Zheng, Yujia Huang, Huchuan Lu, Yi Yang
2019	J	`jnl`	Simulating Content Consistent Vehicle Datasets with Attribute Descent. CoRR Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon
2019	B	`conf`	Spotting Visual Keywords from Temporal Sliding Windows. ICMI Yue Yao, Tianyu Wang, Heming Du, Liang Zheng, Tom Gedeon
2019	A*	`conf`	Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation. CVPR Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
2019	J	`jnl`	Towards Real-Time Multi-Object Tracking. CoRR Zhongdao Wang, Liang Zheng, Yixuan Liu, Shengjin Wang
2019	—	`conf`	Vehicle Re-Identification with Location and Time Stamps. CVPR Workshops Kai Lv, Heming Du, Yunzhong Hou, Weijian Deng, Hao Sheng, Jianbin Jiao, Liang Zheng
2018	J	`jnl`	A Discriminatively Learned CNN Embedding for Person Reidentification. ACM Trans. Multim. Comput. Commun. Appl. Zhedong Zheng, Liang Zheng, Yi Yang
2018	A*	`conf`	Attention-based Pyramid Aggregation Network for Visual Place Recognition. ACM Multimedia Yingying Zhu, Jiong Wang, Lingxi Xie, Liang Zheng
2018	J	`jnl`	Attention-based Pyramid Aggregation Network for Visual Place Recognition. CoRR Yingying Zhu, Jiong Wang, Lingxi Xie, Liang Zheng
2018	—	`conf`	Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline). ECCV (4) Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, Shengjin Wang
2018	A*	`conf`	Camera Style Adaptation for Person Re-Identification. CVPR Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang
2018	—	`conf`	Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization. ECCV (11) Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
2018	J	`jnl`	Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization. CoRR Guoliang Kang, Liang Zheng, Yan Yan, Yi Yang
2018	J	`jnl`	Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification. CoRR Qingji Guan, Yaping Huang, Zhun Zhong, Zhedong Zheng, Liang Zheng, Yi Yang
2018	J	`jnl`	Dissecting Person Re-identification from the Viewpoint of Viewpoint. CoRR Xiaoxiao Sun, Liang Zheng
2018	J	`jnl`	Domain Alignment with Triplets. CoRR Weijian Deng, Liang Zheng, Jianbin Jiao
2018	—	`conf`	Generalizing a Person Retrieval Model Hetero- and Homogeneously. ECCV (13) Zhun Zhong, Liang Zheng, Shaozi Li, Yi Yang
2018	A*	`conf`	Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification. CVPR Weijian Deng, Liang Zheng, Qixiang Ye, Guoliang Kang, Yi Yang, Jianbin Jiao
2018	J	`jnl`	Learning from Web Data: the Benefit of Unsupervised Object Localization. CoRR Xiaoxiao Sun, Liang Zheng, Yu-Kun Lai, Jufeng Yang
2018	—	`conf`	Macro-Micro Adversarial Network for Human Parsing. ECCV (9) Yawei Luo, Zhedong Zheng, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
2018	J	`jnl`	Macro-Micro Adversarial Network for Human Parsing. CoRR Yawei Luo, Zhedong Zheng, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
2018	—	`conf`	On the Large-Scale Transferability of Convolutional Neural Networks. PAKDD (Workshops) Liang Zheng, Yali Zhao, Shengjin Wang, Jingdong Wang, Yi Yang, Qi Tian
2018	J	`jnl`	Open Set Adversarial Examples. CoRR Zhedong Zheng, Liang Zheng, Zhilan Hu, Yi Yang
2018	J	`jnl`	Query Adaptive Late Fusion for Image Retrieval. CoRR Zhongdao Wang, Liang Zheng, Shengjin Wang
2018	J	`jnl`	Recognition From Web Data: A Progressive Filtering Approach. IEEE Trans. Image Process. Jufeng Yang, Xiaoxiao Sun, Yu-Kun Lai, Liang Zheng, Ming-Ming Cheng
2018	J	`jnl`	SIFT Meets CNN: A Decade Survey of Instance Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. Liang Zheng, Yi Yang, Qi Tian
2018	J	`jnl`	Similarity-preserving Image-image Domain Adaptation for Person Re-identification. CoRR Weijian Deng, Liang Zheng, Qixiang Ye, Yi Yang, Jianbin Jiao
2018	J	`jnl`	Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation. CoRR Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
2018	J	`jnl`	Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval. IEEE Trans. Multim. Yuting Hu, Liang Zheng, Yi Yang, Yongfeng Huang
2018	J	`jnl`	Unsupervised Person Re-identification: Clustering and Fine-tuning. ACM Trans. Multim. Comput. Commun. Appl. Hehe Fan, Liang Zheng, Chenggang Yan, Yi Yang
2017	J	`jnl`	A New Evaluation Protocol and Benchmarking Results for Extendable Cross-media Retrieval. CoRR Ruoyu Liu, Yao Zhao, Liang Zheng, Shikui Wei, Yi Yang
2017	J	`jnl`	Beyond Part Models: Person Retrieval with Refined Part Pooling. CoRR Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, Shengjin Wang
2017	J	`jnl`	Camera Style Adaptation for Person Re-identification. CoRR Zhun Zhong, Liang Zheng, Zhedong Zheng, Shaozi Li, Yi Yang
2017	J	`jnl`	Dual-Path Convolutional Image-Text Embedding. CoRR Zhedong Zheng, Liang Zheng, Michael Garrett, Yi Yang, Yi-Dong Shen
2017	J	`jnl`	Dynamic Label Graph Matching for Unsupervised Video Re-Identification. CoRR Mang Ye, Andy Jinhua Ma, Liang Zheng, Jiawei Li, Pong C. Yuen
2017	A*	`conf`	Dynamic Label Graph Matching for Unsupervised Video Re-identification. ICCV Mang Ye, Andy Jinhua Ma, Liang Zheng, Jiawei Li, Pong C. Yuen
2017	J	`jnl`	Few-shot Object Detection. CoRR Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, Deyu Meng
2017	J	`jnl`	Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification. CoRR Weijian Deng, Liang Zheng, Guoliang Kang, Yi Yang, Qixiang Ye, Jianbin Jiao
2017	J	`jnl`	Improving Person Re-identification by Attribute and Identity Learning. CoRR Yutian Lin, Liang Zheng, Zhedong Zheng, Yu Wu, Yi Yang
2017	J	`jnl`	Part-Based Deep Hashing for Large-Scale Person Re-Identification. IEEE Trans. Image Process. Fuqing Zhu, Xiangwei Kong, Liang Zheng, Haiyan Fu, Qi Tian
2017	J	`jnl`	Part-based Deep Hashing for Large-scale Person Re-identification. CoRR Fuqing Zhu, Xiangwei Kong, Liang Zheng, Haiyan Fu, Qi Tian
2017	J	`jnl`	PatchShuffle Regularization. CoRR Guoliang Kang, Xuanyi Dong, Liang Zheng, Yi Yang
2017	J	`jnl`	Pedestrian Alignment Network for Large-scale Person Re-identification. CoRR Zhedong Zheng, Liang Zheng, Yi Yang
2017	A*	`conf`	Person Re-identification in the Wild. CVPR Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Yi Yang, Qi Tian
2017	J	`jnl`	Pose Invariant Embedding for Deep Person Re-identification. CoRR Liang Zheng, Yujia Huang, Huchuan Lu, Yi Yang
2017	J	`jnl`	Random Erasing Data Augmentation. CoRR Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang
2017	A*	`conf`	Re-ranking Person Re-identification with k-Reciprocal Encoding. CVPR Zhun Zhong, Liang Zheng, Donglin Cao, Shaozi Li
2017	J	`jnl`	Re-ranking Person Re-identification with k-reciprocal Encoding. CoRR Zhun Zhong, Liang Zheng, Donglin Cao, Shaozi Li
2017	J	`jnl`	Robust ImageGraph: Rank-Level Feature Fusion for Image Search. IEEE Trans. Image Process. Ziqiong Liu, Shengjin Wang, Liang Zheng, Qi Tian
2017	A*	`conf`	SVDNet for Pedestrian Retrieval. ICCV Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang
2017	J	`jnl`	SVDNet for Pedestrian Retrieval. CoRR Yifan Sun, Liang Zheng, Weijian Deng, Shengjin Wang
2017	J	`jnl`	Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval. CoRR Yuting Hu, Liang Zheng, Yi Yang, Yongfeng Huang
2017	A*	`conf`	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro. ICCV Zhedong Zheng, Liang Zheng, Yi Yang
2017	J	`jnl`	Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro. CoRR Zhedong Zheng, Liang Zheng, Yi Yang
2017	J	`jnl`	Unsupervised Person Re-identification: Clustering and Fine-tuning. CoRR Hehe Fan, Liang Zheng, Yi Yang
2016	J	`jnl`	A Discriminatively Learned CNN Embedding for Person Re-identification. CoRR Zhedong Zheng, Liang Zheng, Yi Yang
2016	J	`jnl`	Accurate Image Search with Multi-Scale Contextual Evidences. Int. J. Comput. Vis. Liang Zheng, Shengjin Wang, Jingdong Wang, Qi Tian
2016	J	`jnl`	Coarse2Fine: Two-Layer Fusion For Image Retrieval. CoRR Gaipeng Kong, Le Dong, Wenpu Dong, Liang Zheng, Qi Tian
2016	A*	`conf`	Exploiting Hierarchical Activations of Neural Network for Image Retrieval. ACM Multimedia Ying Li, Xiangwei Kong, Liang Zheng, Qi Tian
2016	J	`jnl`	Good Practice in CNN Feature Transfer. CoRR Liang Zheng, Yali Zhao, Shengjin Wang, Jingdong Wang, Qi Tian
2016	A*	`conf`	InterActive: Inter-Layer Activeness Propagation. CVPR Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, Qi Tian
2016	J	`jnl`	InterActive: Inter-Layer Activeness Propagation. CoRR Lingxi Xie, Liang Zheng, Jingdong Wang, Alan L. Yuille, Qi Tian
2016	—	`conf`	MARS: A Video Benchmark for Large-Scale Person Re-Identification. ECCV (6) Liang Zheng, Zhi Bie, Yifan Sun, Jingdong Wang, Chi Su, Shengjin Wang, Qi Tian
2016	J	`jnl`	Person Re-identification in the Wild. CoRR Liang Zheng, Hengheng Zhang, Shaoyan Sun, Manmohan Chandraker, Qi Tian
2016	J	`jnl`	Person Re-identification: Past, Present and Future. CoRR Liang Zheng, Yi Yang, Alexander G. Hauptmann
2016	J	`jnl`	SIFT Meets CNN: A Decade Survey of Instance Retrieval. CoRR Liang Zheng, Yi Yang, Qi Tian
2015	—	`conf`	Coloring image search with coupled multi-index. ChinaSIP Liang Zheng, Shengjin Wang, Qi Tian
2015	J	`jnl`	Fast Image Retrieval: Query Pruning and Early Termination. IEEE Trans. Multim. Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian
2015	J	`jnl`	Person Re-identification Meets Image Search. CoRR Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jiahao Bu, Qi Tian
2015	A*	`conf`	Query-adaptive late fusion for image search and person re-identification. CVPR Liang Zheng, Shengjin Wang, Lu Tian, Fei He, Ziqiong Liu, Qi Tian
2015	A*	`conf`	Scalable Person Re-identification: A Benchmark. ICCV Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian
2015	J	`jnl`	Tensor index for large scale image retrieval. Multim. Syst. Liang Zheng, Shengjin Wang, Peizhen Guo, Hanyue Liang, Qi Tian
2014	A*	`conf`	Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval. CVPR Liang Zheng, Shengjin Wang, Wengang Zhou, Qi Tian
2014	J	`jnl`	Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval. CoRR Liang Zheng, Shengjin Wang, Wengang Zhou, Qi Tian
2014	J	`jnl`	Coupled Binary Embedding for Large-Scale Image Retrieval. IEEE Trans. Image Process. Liang Zheng, Shengjin Wang, Qi Tian
2014	A*	`conf`	Packing and Padding: Coupled Multi-index for Accurate Image Retrieval. CVPR Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian
2014	J	`jnl`	Packing and Padding: Coupled Multi-index for Accurate Image Retrieval. CoRR Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian
2014	J	`jnl`	Seeing the Big Picture: Deep Embedding with Contextual Evidences. CoRR Liang Zheng, Shengjin Wang, Fei He, Qi Tian
2014	J	`jnl`	Visual Reranking with Improved Image Graph. CoRR Ziqiong Liu, Shengjin Wang, Liang Zheng, Qi Tian
2014	Misc	`conf`	Visual reranking with improved image graph. ICASSP Ziqiong Liu, Shengjin Wang, Liang Zheng, Qi Tian
2014	J	`jnl`	\(\mathcal {L}_p\) -Norm IDF for Scalable Image Retrieval. IEEE Trans. Image Process. Liang Zheng, Shengjin Wang, Qi Tian
2013	A*	`conf`	Lp-Norm IDF for Large Scale Image Search. CVPR Liang Zheng, Shengjin Wang, Ziqiong Liu, Qi Tian
2013	J	`jnl`	Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search. IEEE Signal Process. Lett. Liang Zheng, Shengjin Wang
2011	—	`conf`	DSW feature based Hidden Marcov Model: An application on object identification. SoCPaR Liang Zheng, Taiqing Wang, Shengjin Wang, Xiaoqing Ding