
Rui Qian (钱瑞)
I'm a final-year Computer Science PhD candidate at Cornell University, affiliated with Cornell Tech. I'm fortunate to be advised by Prof. Serge Belongie. Prior to Cornell, I received the B.S. in Computer Science with Summa Cum Laude from Peking University working with Prof. Jiaying Liu. I'm interested in label-efficient and multimodal video understanding. I have taken several wonderful internships at Google Research(2020-2022), Bytedance AI Lab(2019) and Microsoft Research(2018-2019).
Email: rq49@cornell.edu [Github] [Google Scholar] [Linkedin]
Preprints

(Arxiv, 2022)
Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models
[Paper]
Rui Qian, Yeqing Li, Zheng Xu, Ming-Hsuan Yang, Serge Belongie, Yin Cui
Selected Publications


(BMVC 2022)
Exploring Temporal Granularity in Self-Supervised Video Representation Learning
[Paper]
Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

(CVPR 2022)
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision
[Paper]
Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu





(AAAI 2019, Spotlight)
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning
[Paper]
Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas Huang
Experiences

Google Research
Research Intern
May 2022 - Aug 2022
Host: Dr. Yin Cui, Dr. Boqing Gong,
Dr. Tsung-Yi Lin, Prof. Ming-Hsuan Yang

Bytedance AI Research
Research Intern
Mar 2019 - Jul 2019
Host: Dr. Ding Liu, Dr. Xiaohui Shen

Microsoft Research
Research Intern
Sept 2018 - Mar 2019
Host: Dr. Stephen Lin
Misc



