ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is one of the most important grand challenges in computer vision. There were more than 70 top computer vision groups participating in ILSVRC 2015. The CUHK team (CUvideo), including Prof. Wanli OUYANG, Prof. Hongsheng LI, Prof. Xiaogang WANG and five PhD students from the Department of Electronic Engineering, won the challenge of object detection from videos achieving a mean Averaged Precision (mAP) of 67.8%, while the team in the second place only obtained a mAP of 35.9%. The CUHK team also ranked no. 2 in object detection in images (Microsoft was the 2015 winner and Google was the 2014 winner).

Title: CUvideo
Author: Prof. Wanli Ouyang, Hongsheng Li, Xiaogang Wang (please click for the team list)
Paper link: http://image-net.org/challenges/LSVRC/2015/index#news