Rui Qian

I'm a second-year Computer Science PhD student 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 under the supervision of Prof. Jiaying Liu. I'm exploring various learning-based computer vision problems.

[Github] [Google Scholar] [Linkedin]

Publications & Projects

(CVPR 2021)
Spatiotemporal Contrastive Video Representation Learning

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

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

(Preprint 2021)
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

Hassan Akbari, Linagzhe 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

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

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

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


Google Research

Research Intern
May 2020 - Present
Host: Dr. Yin Cui, Dr. Boqing Gong,
Dr. Tsung-Yi Lin

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


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).