Tong WU 吴桐

Tong WU 吴桐

Ph.D. Student

Biography

Tong Wu is a Ph.D. student in Multi-Media Lab(MMLab) at CUHK, supervised by Professor Dahua Lin. She also works closely with Prof. Ziwei Liu at NTU. She got her bachelor’s degree in the EE Department at Tsinghua University in 2020, working with Prof. Yu Wang and Prof. Jiansheng Chen. Her research interests include but not limited to 3D Vision, Long-tailed Recognition, and Robustness.

News

Experience

 
 
 
 
 
Ph.D. Student
The Chinese University of Hong Kong
Aug 2020 – Present Hong Kong, China
 
 
 
 
 
Bachelor of Engineering
Tsinghua University
Aug 2016 – Jun 2020 Beijing, China

Publications

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Accepted by IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, 4 top ratings
Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu
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OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Accepted by International Conference on Learning Representations (ICLR), 2023, as Spotlight
Tong Wu, Jiaqi Wang, Xingang Pan, Xudong Xu, Christian Theobalt, Ziwei Liu, Dahua Lin
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Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Accepted by Advances in Neural Information Processing Systems (NeurIPS), 2021
Tong Wu, Liang Pan, Junzhe Zhang, Tai Wang, Ziwei Liu, Dahua Lin
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Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion
Few-Shot Object Detection via Association and DIscrimination
Accepted by Advances in Neural Information Processing Systems (NeurIPS), 2021
Yuhang Cao, Jiaqi Wang, Ying Jin, Tong Wu, Kai Chen, Ziwei Liu, Dahua Lin
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Few-Shot Object Detection via Association and DIscrimination
Adversarial Robustness under Long-Tailed Distribution
Accepted by IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, as Oral
Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin
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Adversarial Robustness under Long-Tailed Distribution
Towards Evaluating and Training Verifiably Robust Neural Networks
Accepted by IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, as Oral
Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Dahua Lin
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Towards Evaluating and Training Verifiably Robust Neural Networks
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang
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Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Accepted by European Conference on Computer Vision (ECCV), 2020, as Spotlightgit
Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin
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Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation
Accepted by European Conference on Computer Vision (ECCV), 2020
Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin
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Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
A technique report, arXiv preprint
Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang
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Physical Adversarial Attack on Vehicle Detector in the Carla Simulator
Visual-friendly Aesthetic QR Code Generation using Image Style Transfer
My first research project!
Tong Wu, Jiansheng Chen, Yiqing Huang, Yu Wang
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Visual-friendly Aesthetic QR Code Generation using Image Style Transfer

Honors and Awards

  • Hong Kong PhD Fellowship Scheme (HKPFS) of Hong Kong, 2020
  • Outstanding Graduate of Beijing, 2020
  • Outstanding Graduate of Tsinghua University, 2020
  • Outstanding Graduation Paper of Tsinghua University, 2020
  • Three times Annual Scholarship for Academic Excellence by Tsinghua University, 2017-2019
  • National Scholarship, 2018
  • Annual Scholarship of Scientific and Technological Innovation Excellence by Tsinghua University, 2018
  • First Prize for National Physical Competition for College Students in China, 2017