SJTU Machine Vision and Intelligence Group

Cewu Lu

Department of Computer Science
Shanghai Jiao Tong University
Shanghai, China 200240

Email: lucewu[at]sjtu[dot]edu[dot]cn


Recruit: Looking for new students and postdocs to join our team working on innovative AI research and exciting projects (with limited quota). Geek gets extra credits. (click here for more details)


Recent News:

  • One paper was accepted by Nature(One of two corresponding author)Link
  • Ten papers were accepted by CVPR 2022
  • One paper was accepted by Nature Machine Intelligence Link
  • The concept of the General-Purpose Intelligent Agent(GIA) has been published in the Engineering
  • Seven papers were accepted by CVPR 2020 Link
  • Prof. Lu Cewu will serve as an Area Chair for CVPR 2020
  • HAKE: Human Activity Knowledge Engine begins trial operation! Link
  • VALSE 2019: Knowledge Driven Human Activity Understanding Talk
  • PRCV 2018: Activity Understanding meets 3D Representation Talk
  • AlphaPose is released,a pose estimation system based on our RMPE[ICCV'17], relatively outperforms Mask RCNN 8.2% on COCO dataset pose task. AlphaPose
  • We propose a new task of Action Adverb recongnition. ADHA
  • Prof. Lu Cewu is selected as MIT TR35 - "MIT Technology Review, 35 Innovators Under 35 (China)" MIT Technology Review

Brief Bio:

Cewu Lu is a Professor at Shanghai Jiao Tong University (SJTU). Before he joined SJTU, he was a research fellow at Stanford University working under Prof. Fei-Fei Li and Prof. Leonidas J. Guibas. He was a Research Assistant Professor at Hong Kong University of Science and Technology with Prof. Chi Keung Tang . He got the his PhD degree from The Chinese Univeristy of Hong Kong, supervised by Prof. Jiaya Jia. He is one of core technique member in Stanford-Toyota autonomous car project (斯坦福-丰田,无人车项目). Some of his proposed algorithms have been used as a basic tool function in OpenCV(such as decolor.cpp). He has one Best Paper Award at the Non-Photorealistic Animation and Rendering (NPAR) 2012 and one most cited paper among all papers in SIGGRAPH recent 5 years .He serves as an associate editor for [Journal gtCVPR]and reviewer for Journal TPAMI and IJCV. His research interests fall mainly in Computer Vision, deep learning, deep reinforcement learning and robotics vision.

Some of my paper co-authors:

(names sorted by the date of first collaboration)

Publications:

Computer Vision Group @ SJTU Publications are here

For more information please go to my Google Scholar page