Liang Zheng

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 203

Top Venues

CoRR

CVPR

IEEE Trans. Image Process.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yuchi Liu, Yifan Sun, Jingdong Wang, Liang Zheng
Assessing Model Generalization in Vicinity. CoRR (2024)
Yue Yao, Liang Zheng, Xiaodong Yang, Milind Napthade, Tom Gedeon
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng
Taylor Videos for Action Recognition. CoRR (2024)
Yuchi Liu, Lei Wang, Yuli Zou, James Zou, Liang Zheng
Optimizing Calibration by Gaining Aware of Prediction Correctness. CoRR (2024)
Zeyu Zhang, Junlin Han, Chenhui Gou, Hongdong Li, Liang Zheng
Strong and Controllable Blind Image Decomposition. CoRR (2024)
Weijian Deng, Liang Zheng
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation? IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic. ICLR (2024)
Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. CoRR (2024)
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
The 8th AI City Challenge. CoRR (2024)
Zhedong Zheng, Yaxiong Wang, Xuelin Qian, Zhun Zhong, Zheng Wang, Liang Zheng
MORE'24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities. ICMR (2024)
Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. ICLR (2024)
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR (2024)
Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. CoRR (2024)
Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? Trans. Mach. Learn. Res. 2024 (2024)
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR (2024)
Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. ICLR (2024)
Yunzhong Hou, Stephen Gould, Liang Zheng
View-coherent correlation consistency for semi-supervised semantic segmentation. Pattern Recognit. 147 (2024)
Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models? CoRR (2024)
Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? CoRR (2024)
Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng
Adaptive Multi-head Contrastive Learning. CoRR (2023)
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
The 7th AI City Challenge. CVPR Workshops (2023)
Jaskirat Singh, Liang Zheng
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback. NeurIPS (2023)
Huan Lei, Ruitao Leng, Liang Zheng, Hongdong Li
CircNet: Meshing 3D Point Clouds with Circumcenter Detection. CoRR (2023)
Zhedong Zheng, Liang Zheng, Yi Yang, Fei Wu
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. Int. J. Comput. Vis. 131 (4) (2023)
Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng
A Bag-of-Prototypes Representation for Dataset-Level Applications. CoRR (2023)
Yue Yao, Tom Gedeon, Liang Zheng
Large-scale Training Data Search for Object Re-identification. CVPR (2023)
Jaskirat Singh, Stephen Gould, Liang Zheng
High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CVPR (2023)
Yue Yao, Xinyu Tian, Zheng Tang, Sujit Biswas, Huan Lei, Tom Gedeon, Liang Zheng
Training with Product Digital Twins for AutoRetail Checkout. CoRR (2023)
Yue Yao, Huan Lei, Tom Gedeon, Liang Zheng
Large-scale Training Data Search for Object Re-identification. CoRR (2023)
Weijian Deng, Yumin Suh, Xiang Yu, Masoud Faraki, Liang Zheng, Manmohan Chandraker
Split to Learn: Gradient Split for Multi-Task Human Image Analysis. WACV (2023)
Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang, Liang Zheng
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis. CoRR (2023)
Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? NeurIPS (2023)
Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng
Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic. CoRR (2023)
Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng
A Bag-of-Prototypes Representation for Dataset-Level Applications. CVPR (2023)
Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. CoRR (2023)
Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma, Lingjuan Lyu, Hongdong Li, Liang Zheng
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? CoRR (2023)
Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
A Study of Using Synthetic Data for Effective Association Knowledge Learning. Mach. Intell. Res. 20 (2) (2023)
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
The 7th AI City Challenge. CoRR (2023)
Yuli Zou, Weijian Deng, Liang Zheng
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. ICCV (2023)
Jaskirat Singh, Jianming Zhang, Qing Liu, Cameron Smith, Zhe Lin, Liang Zheng
SmartMask: Context Aware High-Fidelity Mask Generation for Fine-grained Object Insertion and Layout Control. CoRR (2023)
Yuli Zou, Weijian Deng, Liang Zheng
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift. CoRR (2023)
Jaskirat Singh, Liang Zheng
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback. CoRR (2023)
Huan Lei, Ruitao Leng, Liang Zheng, Hongdong Li
CircNet: Meshing 3D Point Clouds with Circumcenter Detection. ICLR (2023)
Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML (2023)
Yunzhong Hou, Xingjian Leng, Tom Gedeon, Liang Zheng
Optimizing Camera Configurations for Multi-View Pedestrian Detection. CoRR (2023)
Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie, Yuan Li
On the Correlation Among Edge, Pose and Parsing. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Weijian Deng, Joshua Marsh, Stephen Gould, Liang Zheng
Fine-Grained Classification via Categorical Memory Networks. IEEE Trans. Image Process. 31 (2022)
Xun Yang, Liang Zheng, Elisa Ricci, Meng Wang
Introduction to the Special Section on Learning Representations, Similarity, and Associations in Dynamic Multimedia Environments. ACM Trans. Multim. Comput. Commun. Appl. 18 (2s) (2022)
Weijian Deng, Stephen Gould, Liang Zheng
On the Strong Correlation Between Model Invariance and Generalization. CoRR (2022)
Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria
Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing. ECCV (14) (2022)
Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
Depth Completion Auto-Encoder. WACV (Workshops) (2022)
Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng
Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents. ECCV (16) (2022)
Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria
Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing. CoRR (2022)
Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? ECCV (8) (2022)
Jaskirat Singh, Stephen Gould, Liang Zheng
High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CoRR (2022)
Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. CoRR (2022)
Zhenfeng Xue, Weijie Mao, Liang Zheng
Learning to Simulate Complex Scenes for Street Scene Segmentation. IEEE Trans. Multim. 24 (2022)
Yawei Luo, Ping Liu, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
Category-Level Adversarial Adaptation for Semantic Segmentation Using Purified Features. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Weijian Deng, Stephen Gould, Liang Zheng
On the Strong Correlation Between Model Invariance and Generalization. NeurIPS (2022)
Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei
Boosting Semi-Supervised Face Recognition With Noise Robustness. IEEE Trans. Circuits Syst. Video Technol. 32 (2) (2022)
Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. IEEE Trans. Image Process. 31 (2022)
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
The 6th AI City Challenge. CVPR Workshops (2022)
Zhongdao Wang, Zhaopeng Dou, Jingwei Zhang, Liang Zheng, Yifan Sun, Yali Li, Shengjin Wang
Generalizable Re-Identification from Videos with Cycle Association. CoRR (2022)
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
The 6th AI City Challenge. CoRR (2022)
Xiaomeng Xin, Yiran Zhong, Yunzhong Hou, Jinjun Wang, Liang Zheng
Memory-Free Generative Replay For Class-Incremental Learning. CoRR (2021)
Weijian Deng, Stephen Gould, Liang Zheng
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? CoRR (2021)
Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng
Ranking Models in Unlabeled New Environments. ICCV (2021)
Jaskirat Singh, Liang Zheng
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. CoRR (2021)
Heming Du, Xin Yu, Liang Zheng
VTNet: Visual Transformer Network for Object Goal Navigation. ICLR (2021)
Yunzhong Hou, Zhongdao Wang, Shengjin Wang, Liang Zheng
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. CoRR (2021)
Yuchi Liu, Zhongdao Wang, Xiangxin Zhou, Liang Zheng
Synthetic Data Are as Good as the Real for Association Knowledge Learning in Multi-object Tracking. CoRR (2021)
Yifan Sun, Liang Zheng, Yali Li, Yi Yang, Qi Tian, Shengjin Wang
Learning Part-based Convolutional Features for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
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
The 5th AI City Challenge. CVPR Workshops (2021)
Yunzhong Hou, Liang Zheng
Visualizing Adapted Knowledge in Domain Transfer. CVPR (2021)
Yunzhong Hou, Liang Zheng
Visualizing Adapted Knowledge in Domain Transfer. CoRR (2021)
Jaskirat Singh, Liang Zheng
Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings. CVPR (2021)
Xiaoxiao Sun, Yunzhong Hou, Hongdong Li, Liang Zheng
Label-Free Model Evaluation with Semi-Structured Dataset Representations. CoRR (2021)
Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei
Boosting Semi-Supervised Face Recognition with Noise Robustness. CoRR (2021)
Weijian Deng, Stephen Gould, Liang Zheng
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML (2021)
Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng
Ranking Models in Unlabeled New Environments. CoRR (2021)
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
The 5th AI City Challenge. CoRR (2021)
Heming Du, Xin Yu, Liang Zheng
VTNet: Visual Transformer Network for Object Goal Navigation. CoRR (2021)
Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng
Intelli-Paint: Towards Developing Human-like Painting Agents. CoRR (2021)
Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng
Action Units That Constitute Trainable Micro-expressions (and A Large-scale Synthetic Dataset). CoRR (2021)
Weijian Deng, Liang Zheng
Are Labels Always Necessary for Classifier Accuracy Evaluation? CVPR (2021)
Yunzhong Hou, Liang Zheng
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). CoRR (2021)
Weijian Deng, Liang Zheng, Yifan Sun, Jianbin Jiao
Rethinking Triplet Loss for Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 31 (1) (2021)
Yunzhong Hou, Liang Zheng
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). ACM Multimedia (2021)
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
Learning to Adapt Invariance in Memory for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 43 (8) (2021)
Kai Lv, Hao Sheng, Zhang Xiong, Wei Li, Liang Zheng
Improving Driver Gaze Prediction With Reinforced Attention. IEEE Trans. Multim. 23 (2021)
Yunzhong Hou, Liang Zheng
Source Free Domain Adaptation with Image Translation. CoRR (2020)
Yifan Sun, Changmao Cheng, Yuhan Zhang, Chi Zhang, Liang Zheng, Zhongdao Wang, Yichen Wei
Circle Loss: A Unified Perspective of Pair Similarity Optimization. CoRR (2020)
Jaskirat Singh, Liang Zheng
Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings. CoRR (2020)
Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie
Correlating Edge, Pose with Parsing. CoRR (2020)
Weijian Deng, Liang Zheng
Are Labels Necessary for Classifier Accuracy Evaluation? CoRR (2020)
Yunzhong Hou, Liang Zheng, Stephen Gould
Learning to Structure an Image with Few Colors. CoRR (2020)
Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang
Random Erasing Data Augmentation. AAAI (2020)
Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction. CVPR (2020)
Jaskirat Singh, Liang Zheng
Enhanced Scene Specificity with Sparse Dynamic Value Estimation. CoRR (2020)
Qingji Guan, Yaping Huang, Zhun Zhong, Zhedong Zheng, Liang Zheng, Yi Yang
Thorax disease classification with attention guided convolutional neural network. Pattern Recognit. Lett. 131 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang Zheng