Ren Li ("李韧" in Chinese)

Vagrant
Email : tomo.blade.lee [at] hotmail.com     Github     Linkedin     Resume    

  About Me

As a research intern at the Computer Vision and Robotics team of United Imaging intelligence (UII) America in Cambridge, MA, I am working on human mesh recovery, mentored by Dr. Ziyan Wu and Dr. Srikrishna Karanam. Before coming to UII, I worked at SenseTime, Beijing, where I was responsible for the project of the generative-model-based face forgery.

I have a wide interest in the field of computer vision. I started my PhD program in 2016 at Purdue University, West Lafayette, supervised by Prof. Jeffrey Mark Siskind. But I finally quit as a Master at the end of my third year of PhD :). During that dramatic period, I mainly focused on visual classification based on electroencephalogram (EEG) signals. I obtained my Bachelor's degree from University of Science and Technology of China (USTC).

  News

  • If Winter comes, can Spring be far behind? :)
  • Our work on DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection is accepted to CVPR 2020.
  • Our work on The Perils and Pitfalls of Block Design for EEG Classification Experiments is accepted to TPAMI.

  Publications

Hierarchical Kinematic Human Mesh Recovery

Georgios Georgakis*, Ren Li*, Srikrishna Karanam, Terrence Chen, Jana Kosecka, Ziyan Wu
Submitted to ECCV 2020.

[Paper

*contributed equally.


Towards Robust RGB-D Human Mesh Recovery

Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, and Ziyan Wu.
Technical Report, 2020.

[Paper

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Liming Jiang, Ren Li, Wayne Wu, Chen Qian, and Chen Change Loy.
CVPR, 2020 (to be appeared).

[Paper]  [Project]  [Code]

The Perils and Pitfalls of Block Design for EEG Classification Experiments

Ren Li, Jared S. Johansen, Hamad Ahmed, Thomas V. Ilyevsky, Ronnie B Wilbur, Hari M Bharadwaj, and Jeffrey Mark Siskind.
TPAMI, 2018 (to be appeared).

[Paper]  [Code]  [Dataset]

Depth Error Induced Virtual View Synthesis Distortion Estimation for 3D Video Coding

Yijian Xiang, Lu Fang, Ren Li, and Ngai-Man Cheung.
Data Compression Conference (Oral), 2015.

[Paper

  Awards

  • Guo Moruo Scholarship*, USTC, 2015.
  • National Scholarship (Top 2%), MOE of China, 2014.
  • The Talent Program Scholarship (Top 3%), USTC, 2014.
*Guo Moruo Scholarship is the first scholarship of P.R. China, and the most highly regarded honor by USTC students and alumni, in name of our first president Mr. Guo Moruo.