Zechen Bai 白泽琛Applied Scientist
AWS AI Labs, Shanghai |
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I'm currently a full-time Applied Scientist at AWS AI Labs, working with Tianjun Xiao,
Tong He,
Francesco Locatello,
and Prof. Zheng Zhang.
I also work closely with Prof. Thomas Brox,
Prof. Yanwei Fu, and Prof. Mike Shou.
Before joining Amazon, I received my M.S degree in Computer Science from Chinese Academy of Sciences, advised by Prof. Hui Chen,
and B.S degree in Computer Science from University of Science and Technology Beijing, under the supervision of Prof. Xu-Cheng Yin and Prof. Weiming Dong.
I was a research intern at Bytedance AI-Lab and Baidu VIS, respectively.
Also, I was fortunate to work with Prof. Nadia Magnenat Thalmann (Nanyang Technological University),
Prof. Noa Garcia (Osaka University) and Prof. Yuta Nakashima (Osaka University).
My research interests include computer vision, deep learning, and virtual reality.
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A Simple Approach to Animating Virtual Characters by Facial Expressions Reenactment. Zechen Bai, Naiming Yao, Lu Liu, Hui Chen, Hongan Wang. IEEE Virtual Reality Conference (VR), 2023. [paper] |
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Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. Zechen Bai, Yuta Nakashima, and Noa Garcia. IEEE International Conference on Computer Vision (ICCV), 2021. |
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Robust Vehicle Re-identification via Rigid Structure Prior. Minyue Jiang, Xuanmeng Zhang, Yue Yu, Zechen Bai, Zhedong Zheng, Zhigang Wang, Jian Wang, Xiao Tan, Hao Sun, Errui Ding, Yi Yang. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021. (Ranked 2nd place in CVPR 2021 AI City Challenge Vehicle Re-id Track) [paper] |
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Enhancing Emotional Experience by Building Emotional Virtual Characters in VR Volleyball Games. Zechen Bai, Naiming Yao, Nidhi Mishra, Hui Chen, Hongan Wang, Nadia Magnenat Thalmann. International Conference on Computer Animation and Social Agents (CASA), 2021. [paper] |
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Unsupervised Multi-Source Domain Adaptation for Person Re-Identification. Zechen Bai, Zhigang Wang, Jian Wang, Di Hu, Errui Ding. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (Oral) |
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Play with Emotional Characters: Improving User Emotional Experience by A Data-driven Approach in VR Volleyball Games. Zechen Bai, Naiming Yao, Nidhi Mishra, Hui Chen, Hongan Wang, Nadia Magnenat Thalmann. IEEE Virtual Reality Conference (VR), 2021. (Best Poster Award!) [paper] |
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Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-identification. Zhedong Zheng, Minyue Jiang, Zhigang Wang, Jian Wang, Zechen Bai, Xuanmeng Zhang, Xin Yu, Yi Yang, Shilei Wen, Errui Ding. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2020. (Ranked 1st place in CVPR 2020 AI City Challenge Vehicle Re-id Track) |
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Show, Recall, and Tell: Image Captioning with Recall Mechanism. Li Wang, Zechen Bai, Yonghua Zhang, Hongtao Lu. AAAI Conference on Artificial Intelligence (AAAI), 2020. [paper] |
China National Scholarship, 2021 |
Best Poster Award at IEEE-VR 2021 |
Champion of AI City Challenge Vehicle Re-id Track at CVPR 2020 |
Beijing Distinguished Graduate Award, 2019 |