Zechen Bai 白泽琛

PhD Student

Show Lab, National University of Singapore (NUS)

Biography

I'm currently a PhD student at National University of Singapore, affiliated with Show Lab, supervised by Prof. Mike Shou. Previously, I spent a wonderful year at Amazon AI, where I was a Fulltime Applied Scientist, working with Tianjun Xiao, Tong He, Francesco Locatello, and Prof. Zheng Zhang. I also worked closely with Prof. Thomas Brox and Prof. Yanwei Fu.

My research interests include deep learning and virtual reality. Recently, I'm particularly interested in video perception & understanding and multimodal models.

News

VideoLISA

LOVA3

DoFIT

[08/2024] We released Show-o, a single transformer model that unifies multimodal understanding and generation!
[04/2024] We released a comprehensive survey of hallucination in multimodal large language models, check out the paper!
[03/2024] One paper accepted by ICLR 2024 Reliable and Responsible Foundation Models Workshop!
[02/2024] Two papers accepted by CVPR 2024! Congrats to co-authors!
[01/2024] A long paper accepted by IEEE-VR 2024!
[09/2023] After a wonderful year at Amazon, I enrolled in NUS as a PhD student!
[07/2023] Two papers were accepted to ICCV 2023!
[01/2023] One paper was accepted to IEEE-VR 2023.
[08/2022] I joined Amazon AI Labs.
[11/2021] I was awarded China National Scholarship.
[07/2021] One paper was accepted to ICCV 2021.
[05/2021] One paper was accepted to CASA 2021, and then selected to appear in the Journal of CAVW.
[04/2021] My first-author work has won the Best Poster Award in IEEE-VR 2021!
[03/2021] One paper was accepted to CVPR 2021 as Oral presentation!
[02/2021] One poster was accepted to IEEE-VR 2021.
[04/2020] We have won the Champion in AICity Challenge Vehicle Re-id Track in CVPR 2020!
[12/2019] One paper was accepted to AAAI 2020.

Publications on Deep Learning (*co-first author)

	One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos. Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou NeurIPS, 2024. [paper] [project]
	Show-o: One Single Transformer To Unify Multimodal Understanding and Generation. Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, Mike Zheng Shou arXiv preprint, 2024. [paper] [project]
	Hallucination of Multimodal Large Language Models: A Survey. Zechen Bai, Pichao Wang, Tianjun Xiao, Tong He, Zongbo Han, Zheng Zhang, Mike Zheng Shou arXiv preprint, 2024. [paper] [project]
	GQE: Generalized Query Expansion for Enhanced Text-Video Retrieval. Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou arXiv preprint, 2024. [paper]
	Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models. Zongbo Han, Zechen Bai, Haiyang Mei, Qianli Xu, Changqing Zhang, Mike Zheng Shou ICLR R2-FM Workshop, 2024. [paper]
	ASSISTGUI: Task-Oriented Desktop Graphical User Interface Automation. Difei Gao, Lei Ji, Zechen Bai, Mingyu Ouyang, Peiran Li, Dongxing Mao, Qinchen Wu, Weichen Zhang, Peiyi Wang, Xiangwu Guo, Hengxu Wang, Luowei Zhou, Mike Zheng Shou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [paper] [code] [project]
	Adaptive Slot Attention: Object Discovery with Dynamic Slot Number. Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [project page]
	Unsupervised Open-Vocabulary Object Localization in Videos. Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He IEEE International Conference on Computer Vision (ICCV), 2023. * Equal contribution. Ke is the first intern author, Zechen is the first FTE author. [paper] [code]
	Object-Centric Multiple Object Tracking. Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao IEEE International Conference on Computer Vision (ICCV), 2023. [paper]
	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. [paper][code][project]
	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] [code]
	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) [paper][code]
	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 [paper][code]
	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]

Publications on Virtual Reality

	Bring Your Own Character: A Holistic Solution for Automatic Facial Animation Generation of Customized Characters. Zechen Bai, Peng Chen, Xiaolan Peng, Lu Liu, Hui Chen, Mike Zheng Shou, Feng Tian. IEEE Virtual Reality Conference (VR), 2024. [paper] [code]
	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]
	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]
	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]

Academic Service

I serve a reviewer for CVPR, NeurlPS, ICLR conference and ACM Computing Survey, TCSVT, Neurocomputing, etc.

Research Experience

Applied Scientist
February 2022 - August 2023
Amazon Shanghai AI Lab, Shanghai, China
Advisor: Tianjun Xiao, Tong He, and Zheng Zhang

Research Intern
April 2021 - September 2021
Intelligent Creation Team (AI-Lab CV), Bytedance, Beijing, China
Advisor: Panpan Xu and Qian He

Visiting Student (remote)
September 2020 - March 2021
ISLab, Osaka University, Osaka, Japan
Advisor: Prof. Noa Garcia and Prof. Yuta Nakashima

Research Intern
February 2020 - September 2020
Department of Computer Vision Technology (VIS), Baidu, Beijing, China
Advisor: Zhigang Wang and Jian Wang

Visiting Student
November 2019 - February 2020
Institute for Media Innovation, Nanyang Technological University, Singapore
Advisor: Prof. Nadia Magnenat Thalmann

Research Intern
February 2019 - August 2019
Visual Search Team (AI-Lab VS), Bytedance, Beijing, China
Advisor: Yonghua Zhang

Selected Awards

NeurIPS Scholar Award, 2024

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