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Liang Zheng 0001
Person information
- affiliation: Australian National University, Canberra, ACT, Australia
- affiliation: University of Technology at Sydney, Centre for AI, Ultimo, NSW, Australia
- affiliation (former): University of Texas at San Antonio, TX, USA
- affiliation (PhD 2015): Tsinghua University, Department of Electronic Engineering, State Key Laboratory of Intelligent Technology and Systems, Beijing, China
Other persons with the same name
- Liang Zheng — disambiguation page
- Liang Zheng 0002
— Princeton University, Department of Electrical Engineering, NJ, USA (and 1 more)
- Liang Zheng 0003
— Central South University, School of Traffic and Transportation Engineering, Changsha, China
- Liang Zheng 0004
— Shanghai Lixin University of Accounting and Finance, School of Information Management, China (and 1 more)
- Liang Zheng 0005 — Institute of Information Engineering, CAS, Beijing, China (and 1 more)
- Liang Zheng 0006 — Kagawa University, Takamatsu, Kagawa, Japan
- Liang Zheng 0007
— Hangzhou Dianzi University, Hanzhou, China
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2020 – today
- 2024
- [j44]Lei Wang
, Jun Liu
, Liang Zheng
, Tom Gedeon
, Piotr Koniusz
:
Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. Int. J. Comput. Vis. 132(9): 4091-4122 (2024) - [j43]Weijian Deng
, Liang Zheng
:
AutoEval: Are Labels Always Necessary for Classifier Accuracy Evaluation? IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1868-1880 (2024) - [j42]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): 2489-2505 (2024) - [j41]Yunzhong Hou
, Stephen Gould
, Liang Zheng
:
View-coherent correlation consistency for semi-supervised semantic segmentation. Pattern Recognit. 147: 110089 (2024) - [j40]Yunzhong Hou
, Stephen Gould
, Liang Zheng
:
Scalable Deep Color Quantization: A Cluster Imitation Approach. IEEE Trans. Image Process. 33: 5273-5283 (2024) - [j39]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) - [c87]Jiahao Ma
, Zicheng Duan
, Liang Zheng
, Chuong Nguyen
:
Multiview Detection with Cardboard Human Modeling. ACCV (6) 2024: 53-70 - [c86]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. CVPR 2024: 6497-6506 - [c85]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. CVPR Workshops 2024: 7261-7272 - [c84]Yunzhong Hou, Stephen Gould, Liang Zheng:
Learning to Select Views for Efficient Multi-View Understanding. CVPR 2024: 20135-20144 - [c83]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? ECCV (48) 2024: 127-142 - [c82]Jing Zhang
, Liang Zheng
, Meng Wang
, Dan Guo
:
Training A Small Emotional Vision Language Model for Visual Art Comprehension. ECCV (67) 2024: 397-413 - [c81]Lei Wang
, Piotr Koniusz
, Tom Gedeon
, Liang Zheng
:
Adaptive Multi-head Contrastive Learning. ECCV (69) 2024: 404-421 - [c80]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 - [c79]Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng:
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic. ICLR 2024 - [c78]Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng:
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. ICLR 2024 - [c77]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. ICLR 2024 - [c76]Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng:
Taylor Videos for Action Recognition. ICML 2024 - [c75]Zhedong Zheng
, Yaxiong Wang
, Xuelin Qian
, Zhun Zhong
, Zheng Wang
, Liang Zheng
:
MORE'24 Multimedia Object Re-ID: Advancements, Challenges, and Opportunities. ICMR 2024: 1336-1338 - [e2]Jianfei Cai, Mohan S. Kankanhalli, Balakrishnan Prabhakaran, Susanne Boll, Ramanathan Subramanian, Liang Zheng, Vivek K. Singh, Pablo César, Lexing Xie, Dong Xu:
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-0686-8 [contents] - [e1]Zhedong Zheng, Yaxiong Wang, Xuelin Qian, Zhun Zhong, Zheng Wang, Liang Zheng:
Proceedings of the 1st ICMR Workshop on Multimedia Object Re-Identification, MORE 2024, Phuket, Thailand, 10 June 2024. ACM 2024 [contents] - [i116]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection. CoRR abs/2402.00865 (2024) - [i115]Lei Wang, Xiuyuan Yuan, Tom Gedeon, Liang Zheng:
Taylor Videos for Action Recognition. CoRR abs/2402.03019 (2024) - [i114]Lei Wang, Jun Liu, Liang Zheng, Tom Gedeon, Piotr Koniusz:
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment. CoRR abs/2402.04599 (2024) - [i113]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 abs/2403.09037 (2024) - [i112]Zeyu Zhang, Junlin Han, Chenhui Gou, Hongdong Li, Liang Zheng:
Strong and Controllable Blind Image Decomposition. CoRR abs/2403.10520 (2024) - [i111]Jing Zhang, Liang Zheng, Dan Guo, Meng Wang:
Training A Small Emotional Vision Language Model for Visual Art Comprehension. CoRR abs/2403.11150 (2024) - [i110]Yang Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng:
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments. CoRR abs/2403.13803 (2024) - [i109]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 abs/2404.09432 (2024) - [i108]Yuchi Liu, Lei Wang, Yuli Zou, James Zou, Liang Zheng:
Optimizing Calibration by Gaining Aware of Prediction Correctness. CoRR abs/2404.13016 (2024) - [i107]Yuchi Liu, Jaskirat Singh, Gaowen Liu, Ali Payani, Liang Zheng:
Towards Hierarchical Multi-Agent Workflows for Zero-Shot Prompt Optimization. CoRR abs/2405.20252 (2024) - [i106]Yuchi Liu, Yifan Sun, Jingdong Wang, Liang Zheng:
Assessing Model Generalization in Vicinity. CoRR abs/2406.09257 (2024) - [i105]Weijie Tu, Weijian Deng, Liang Zheng, Tom Gedeon:
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions? CoRR abs/2406.09908 (2024) - [i104]Qinyu Zhao, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould:
Can We Predict Performance of Large Models across Vision-Language Tasks? CoRR abs/2410.10112 (2024) - [i103]Yunzhong Hou, Liang Zheng, Philip Torr:
Learning Camera Movement Control from Real-World Drone Videos. CoRR abs/2412.09620 (2024) - 2023
- [j38]Yuchi Liu
, Zhongdao Wang
, Xiangxin Zhou
, Liang Zheng
:
A Study of Using Synthetic Data for Effective Association Knowledge Learning. Mach. Intell. Res. 20(2): 194-206 (2023) - [j37]Zhedong Zheng
, Liang Zheng
, Yi Yang, Fei Wu
:
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. Int. J. Comput. Vis. 131(4): 835-854 (2023) - [j36]Qian Yu, Liang Zheng, Lu Sheng
, Dong Xu:
Guest Editorial: Special Issue on Machine Learning and Signal Processing. J. Signal Process. Syst. 95(1): 1-2 (2023) - [c74]Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng:
A Bag-of-Prototypes Representation for Dataset-Level Applications. CVPR 2023: 2881-2892 - [c73]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: 5538-5548 - [c72]Jaskirat Singh, Stephen Gould, Liang Zheng:
High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CVPR 2023: 5997-6006 - [c71]Yue Yao, Tom Gedeon, Liang Zheng:
Large-scale Training Data Search for Object Re-identification. CVPR 2023: 15568-15578 - [c70]Liang Zheng
:
Training Data Optimization in Human-Centric Analysis. HCMA@MM 2023: 1-2 - [c69]Zijian Wang
, Yadan Luo
, Liang Zheng, Zi Huang
, Mahsa Baktashmotlagh
:
How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. ICCV 2023: 5526-5535 - [c68]Yuli Zou, Weijian Deng, Liang Zheng:
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. ICCV 2023: 19276-19285 - [c67]Huan Lei, Ruitao Leng, Liang Zheng
, Hongdong Li:
CircNet: Meshing 3D Point Clouds with Circumcenter Detection. ICLR 2023 - [c66]Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation. ICML 2023: 7658-7674 - [c65]Jaskirat Singh, Liang Zheng:
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback. NeurIPS 2023 - [c64]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 - [c63]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: 4340-4349 - [i102]Huan Lei, Ruitao Leng, Liang Zheng, Hongdong Li:
CircNet: Meshing 3D Point Clouds with Circumcenter Detection. CoRR abs/2301.09253 (2023) - [i101]Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng:
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation. CoRR abs/2302.01094 (2023) - [i100]Yuli Zou, Weijian Deng, Liang Zheng:
Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift. CoRR abs/2303.05331 (2023) - [i99]Yunzhong Hou
, Stephen Gould, Liang Zheng:
Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances. CoRR abs/2303.06145 (2023) - [i98]Weijie Tu, Weijian Deng, Tom Gedeon, Liang Zheng:
A Bag-of-Prototypes Representation for Dataset-Level Applications. CoRR abs/2303.13251 (2023) - [i97]Yue Yao, Huan Lei, Tom Gedeon, Liang Zheng:
Large-scale Training Data Search for Object Re-identification. CoRR abs/2303.16186 (2023) - [i96]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 abs/2304.07500 (2023) - [i95]Jaskirat Singh, Liang Zheng:
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback. CoRR abs/2307.04749 (2023) - [i94]Yue Yao, Xinyu Tian, Zheng Tang, Sujit Biswas, Huan Lei, Tom Gedeon, Liang Zheng:
Training with Product Digital Twins for AutoRetail Checkout. CoRR abs/2308.09708 (2023) - [i93]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 abs/2309.13038 (2023) - [i92]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 abs/2310.04414 (2023) - [i91]Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng:
Alice Benchmarks: Connecting Real World Object Re-Identification with the Synthetic. CoRR abs/2310.04416 (2023) - [i90]Lei Wang, Piotr Koniusz, Tom Gedeon, Liang Zheng:
Adaptive Multi-head Contrastive Learning. CoRR abs/2310.05615 (2023) - [i89]Zixin Wang
, Yadan Luo, Liang Zheng, Zhuoxiao Chen, Sen Wang, Zi Huang:
In Search of Lost Online Test-time Adaptation: A Survey. CoRR abs/2310.20199 (2023) - [i88]Yunzhong Hou, Xingjian Leng, Tom Gedeon, Liang Zheng:
Optimizing Camera Configurations for Multi-View Pedestrian Detection. CoRR abs/2312.02144 (2023) - [i87]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 abs/2312.05039 (2023) - 2022
- [j35]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): 3940-3956 (2022) - [j34]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): 8492-8507 (2022) - [j33]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): 778-787 (2022) - [j32]Yunzhong Hou
, Zhongdao Wang
, Shengjin Wang
, Liang Zheng
:
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking. IEEE Trans. Image Process. 31: 612-622 (2022) - [j31]Weijian Deng
, Joshua Marsh, Stephen Gould
, Liang Zheng
:
Fine-Grained Classification via Categorical Memory Networks. IEEE Trans. Image Process. 31: 4186-4196 (2022) - [j30]Zhenfeng Xue
, Weijie Mao
, Liang Zheng
:
Learning to Simulate Complex Scenes for Street Scene Segmentation. IEEE Trans. Multim. 24: 1253-1265 (2022) - [j29]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): 127e:1-127e:2 (2022) - [c62]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: 3346-3355 - [c61]Yuchi Liu
, Zhongdao Wang
, Tom Gedeon
, Liang Zheng
:
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset? ECCV (8) 2022: 38-55 - [c60]Jaskirat Singh
, Liang Zheng
, Cameron Smith
, Jose Echevarria
:
Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing. ECCV (14) 2022: 678-695 - [c59]Jaskirat Singh
, Cameron Smith
, Jose Echevarria
, Liang Zheng
:
Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents. ECCV (16) 2022: 685-701 - [c58]Weijian Deng, Stephen Gould, Liang Zheng:
On the Strong Correlation Between Model Invariance and Generalization. NeurIPS 2022 - [c57]Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng
:
Depth Completion Auto-Encoder. WACV (Workshops) 2022: 63-73 - [i86]Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon:
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond. CoRR abs/2202.14034 (2022) - [i85]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 abs/2204.10380 (2022) - [i84]Weijian Deng, Stephen Gould, Liang Zheng:
On the Strong Correlation Between Model Invariance and Generalization. CoRR abs/2207.07065 (2022) - [i83]Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria:
Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing. CoRR abs/2208.08092 (2022) - [i82]Yunzhong Hou
, Stephen Gould, Liang Zheng:
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation. CoRR abs/2208.08437 (2022) - [i81]Yunzhong Hou
, Liang Zheng, Stephen Gould:
Learning to Structure an Image with Few Colors and Beyond. CoRR abs/2208.08438 (2022) - [i80]Zhongdao Wang, Zhaopeng Dou, Jingwei Zhang, Liang Zheng, Yifan Sun, Yali Li, Shengjin Wang:
Generalizable Re-Identification from Videos with Cycle Association. CoRR abs/2211.03663 (2022) - [i79]Jaskirat Singh, Stephen Gould, Liang Zheng:
High-Fidelity Guided Image Synthesis with Latent Diffusion Models. CoRR abs/2211.17084 (2022) - 2021
- [j28]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): 902-917 (2021) - [j27]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): 2723-2738 (2021) - [j26]Weijian Deng
, Liang Zheng
, Yifan Sun
, Jianbin Jiao
:
Rethinking Triplet Loss for Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 31(1): 29-37 (2021) - [j25]Kai Lv
, Hao Sheng
, Zhang Xiong, Wei Li, Liang Zheng
:
Improving Driver Gaze Prediction With Reinforced Attention. IEEE Trans. Multim. 23: 4198-4207 (2021) - [c56]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: 4263-4273 - [c55]Jinxing Zhou, Liang Zheng
, Yiran Zhong, Shijie Hao, Meng Wang:
Positive Sample Propagation Along the Audio-Visual Event Line. CVPR 2021: 8436-8444 - [c54]Yunzhong Hou
, Liang Zheng
:
Visualizing Adapted Knowledge in Domain Transfer. CVPR 2021: 13824-13833 - [c53]Weijian Deng, Liang Zheng
:
Are Labels Always Necessary for Classifier Accuracy Evaluation? CVPR 2021: 15069-15078 - [c52]Jaskirat Singh, Liang Zheng
:
Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings. CVPR 2021: 16387-16396 - [c51]Yang Yang, Akshay Asthana, Liang Zheng:
Does Keypoint Estimation Benefit Object Detection? An Empirical Study of One-stage and Two-stage Detectors. FG 2021: 1-7 - [c50]Xiaoxiao Sun, Yunzhong Hou
, Weijian Deng, Hongdong Li, Liang Zheng
:
Ranking Models in Unlabeled New Environments. ICCV 2021: 11741-11751 - [c49]Heming Du, Xin Yu, Liang Zheng
:
VTNet: Visual Transformer Network for Object Goal Navigation. ICLR 2021 - [c48]Weijian Deng, Stephen Gould, Liang Zheng
:
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? ICML 2021: 2579-2589 - [c47]Yunzhong Hou
, Liang Zheng
:
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). ACM Multimedia 2021: 1673-1682 - [i78]Jaskirat Singh, Liang Zheng:
Sparse Attention Guided Dynamic Value Estimation for Single-Task Multi-Scene Reinforcement Learning. CoRR abs/2102.07266 (2021) - [i77]Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang:
Positive Sample Propagation along the Audio-Visual Event Line. CoRR abs/2104.00239 (2021) - [i76]Yunzhong Hou, Liang Zheng:
Visualizing Adapted Knowledge in Domain Transfer. CoRR abs/2104.10602 (2021) - [i75]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 abs/2104.12233 (2021) - [i74]Yuchi Liu, Hailin Shi, Hang Du, Rui Zhu, Jun Wang, Liang Zheng, Tao Mei:
Boosting Semi-Supervised Face Recognition with Noise Robustness. CoRR abs/2105.04431 (2021) - [i73]Heming Du, Xin Yu, Liang Zheng:
VTNet: Visual Transformer Network for Object Goal Navigation. CoRR abs/2105.09447 (2021) - [i72]Weijian Deng, Stephen Gould, Liang Zheng:
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? CoRR abs/2106.05961 (2021) - [i71]Jiajun Zha, Yiran Zhong, Jing Zhang, Richard Hartley, Liang Zheng:
Invertible Attention. CoRR abs/2106.09003 (2021) - [i70]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 abs/2106.16100 (2021) - [i69]Yunzhong Hou, Liang Zheng:
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation). CoRR abs/2108.05888 (2021) - [i68]Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng:
Ranking Models in Unlabeled New Environments. CoRR abs/2108.10310 (2021)