Me.

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

(Arxiv, 2021)
Revisiting 3D ResNets for Video Recognition
[Paper][Code]

Xianzhi Du, Yeqing Li, Yin Cui, Rui Qian, Jing Li, Irwan Bello

Selected Publications

(ECCV 2022)
Exploring Fine-grained Audiovisual Categorization
[Paper][Code][Dataset]

Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie, Grant Van Horn

(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

(CVPR 2021)
Spatiotemporal Contrastive Video Representation Learning
[Paper][Code]

Rui Qian*, Tianjian Meng*, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Belongie, Yin Cui

(CVPR 2021, Oral)
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
[Paper][Code]

Golnaz Ghiasi*, Yin Cui*, Aravind Srinivas*, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph

(NeurIPS 2021)
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
[Paper][Code]

Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong

(CVPR 2020)
End-to-end Pseudo-LiDAR for Image-Based 3D Object Detection
[Paper][Code]

Rui Qian*, Divyansh Garg*, Yan Wang*, Yurong You*, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Weinberger, Wei-Lun Chao

(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

(CVPR 2018, Spotlight)
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image
[Paper][Code][Dataset]

Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu

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

I really love my workspace at Cornell Tech which has 180 degree view of Manhattan (day and night).
Here is the view from the House at Cornell Tech (summer and winter).