Dr. Zheng (Thomas) Tang

Dr. Zheng (Thomas) Tang

Senior Deep Learning Engineer at NVIDIA, expert in computer vision and machine learning

Publications

Journal Articles

Figure The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework
Chao Wang and Zheng Tang. IEEE Transactions on Circuits and Systems for Video Technology. T-CSVT.
[Paper]

Figure WSSGCN: Wide Sub-stage Graph Convolutional Networks
Chao Wang, Zheng Tang and Hailu Xu. Neurocomputing.
[Paper]

Figure Training with Product Digital Twins for AutoRetail Checkout
Yue Yao, Xinyu Tian, Zheng Tang, Sujit Biswas, Huan Lei, Tom Gedeon and Liang Zheng. arXiv.
[Paper]

Figure MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D
Zheng Tang and Jenq-Neng Hwang. IEEE Access.
[Paper] [Demo1] [Demo2]

Figure ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction from Tracking of Walking Humans
Zheng Tang, Yen-Shuo Lin, Kuan-Hui Lee, Jenq-Neng Hwang and Jen-Hui Chuang. IEEE Access.
[Paper]

Figure Online-Learning-Based Human Tracking Across Non-Overlapping Cameras
Young-Gun Lee, Zheng Tang and Jenq-Neng Hwang. IEEE Transactions on Circuits and Systems for Video Technology. T-CSVT.
[Paper]

Conference Papers

Figure Radiance Field Learners As UAV First-Person Viewers
Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang and Dongfang Liu. 2024 European Conference on Computer Vision. ECCV 2024.
[Paper] [Website] [Dataset]

Figure The 8th AI City Challenge
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, Ganzorig Batnasan, Fady Alnajjar, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas and Rama Chellappa. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition - 8th AI City Challenge Workshop. CVPRW 2024.
[Paper] [Website]

Figure The 7th AI City Challenge
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 and Rama Chellappa. 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition - 7th AI City Challenge Workshop. CVPRW 2023.
[Paper] [Website]

Figure The 6th AI City Challenge
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 and Rama Chellappa. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition - 6th AI City Challenge Workshop. CVPRW 2022.
[Paper] [Website]

Figure The 5th AI City Challenge
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. Lopez, Anuj Sharma, Qi Feng, Vitaly Ablavsky and Stan Sclaroff. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition - 5th AI City Challenge Workshop. CVPRW 2021.
[Paper] [Website]

Figure The 4th AI City Challenge
Milind Naphade, Shuo Wang, David Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa and Pranamesh Chakraborty. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition - 4th AI City Challenge Workshop. CVPRW 2020.
[Paper] [Website]

Figure PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang and Xiaodong Yang. 2019 IEEE/CVF International Conference on Computer Vision. ICCV 2019.
[Paper] [Code] [Poster]

Figure CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu and Jenq-Neng Hwang. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. CVPR 2019. (Oral)
[Paper] [Presentation] [Slides] [Poster] [Website]

Figure The 2019 AI City Challenge
Milind Naphade, Zheng Tang, Ming-Ching Chang, David C Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang and Siwei Lyu. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition - 3rd AI City Challenge Workshop. CVPRW 2019.
[Paper] [Website]

Figure Self-Calibration of Traffic Surveillance Cameras Based on Moving Vehicle Appearance and 3-D Vehicle Modeling
Na Wang, Haiqing Du, Yong Liu, Zheng Tang and Jenq-Neng Hwang. 2018 IEEE International Conference on Image Processing. ICIP 2018.
[Paper]

Figure Joint Multi-View People Tracking and Pose Estimation for 3D Scene Reconstruction
Zheng Tang, Renshu Gu and Jenq-Neng Hwang. 2018 IEEE International Conference on Multimedia and Expo. ICME 2018. (Oral)
[Paper] [Slides]

Figure Single-Camera and Inter-Camera Vehicle Tracking and 3D Speed Estimation Based on Fusion of Visual and Semantic Features
Zheng Tang, Gaoang Wang, Hao Xiao, Aotian Zheng and Jenq-Neng Hwang. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition - 2nd AI City Challenge Workshop. CVPRW 2018. (Winner of Track 1 & Track 3 at the 2nd AI City Challenge)
[Paper] [Code] [Slides] [Poster] [Demo1] [Demo2]

Figure Adaptive Ground Plane Estimation for Moving Camera-Based 3D Object Tracking
Tao Liu, Yong Liu, Zheng Tang and Jenq-Neng Hwang. 2017 International Workshop on Multimedia Signal Processing. MMSP 2017.
[Paper]

Figure Inter-Camera Tracking Based on Fully Unsupervised Online Learning
Young-Gun Lee, Zheng Tang, Jenq-Neng Hwang and Zhijun Fang. 2017 IEEE International Conference on Image Processing. ICIP 2017.
[Paper] [Poster]

Figure Multiple-Kernel Based Vehicle Tracking Using 3D Deformable Model and Camera Self-Calibration
Zheng Tang, Gaoang Wang, Tao Liu, Young-Gun Lee, Adwin Jahn, Xu Liu, Xiaodong He and Jenq-Neng Hwang. 2017 IEEE Smart World Congress - 1st AI City Challenge Workshop. (Winner of Track 2 at the 1st AI City Challenge)
[Paper] [Slides] [Demo]

Figure Camera Self-Calibration from Tracking of Moving Persons
Zheng Tang, Yen-Shuo Lin, Kuan-Hui Lee, Jenq-Neng Hwang, Jen-Hui Chuang and Zhijun Fang. 2016 International Conference on Pattern Recognition. ICPR 2016. (Finalist IBM Best Student Paper Award & Finalist Intel Best Student Paper Award)
[Paper] [Slides] [Demo]

Figure Multiple-Kernel Adaptive Segmentation and Tracking (MAST) for Robust Object Tracking
Zheng Tang, Jenq-Neng Hwang, Yen-Shuo Lin and Jen-Hui Chuang. 2016 IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP 2016. (Oral)
[Paper] [Slides]

Figure Melody Extraction from Polyphonic Audio of Western Opera: A Method Based on Detection of the Singer's Formant
Zheng Tang and Dawn AA Black. 2014 International Society for Music Information Retrieval Conference. ISMIR 2014.
[Paper] [Craze] [Poster]

Dissertation

Figure Robust Video Object Tracking via Camera Self-Calibration
Zheng Tang. Ph.D. dissertation. University of Washington, Seattle, WA. 2019.
[Paper] [Slides]