The CUHK Multimedia Lab (MMLab) is one of the pioneering institutes on deep learning. In GPU
Technology Conference (GTC)
2016, a world-wide technology summit, our lab is recognized as one of the top ten AI
and listed together with top research groups in the world (e.g. MIT, Stanford, Berkeley, and
Univ. of Toronto). Today, we remain one of the most active research labs in computer vision
deep learning, publishing over 40 papers on top conferences (CVPR/ICCV/ECCV/NIPS) every
Our lab has a large group of talented students, plenty of computational resources, and steady financial support, and free research environment.
WIDER Face and Person Challenge
We organize the second WIDER Face and Person Challenge in conjunction with ICCV 2019. There are four exciting tracks with great prizes. Deadline of challenge: July 25, 2019.
NTIRE 2019 winner
Our new video restoration method, EDVR, won all four tracks in the NTIRE 2019 video restoration and enhancement challenges.
We have 33 papers (7 oral) accepted to CVPR 2019.
Our lab have 3 papers accepted to ICLR 2019.
Our lab have 6 papers (4 oral and 1 spotlight) accepted to AAAI 2019.
COCO 2018 Challenge Winner
Our team MMDet wins the COCO 2018 Challenge (object detection/instance segmentation track). Codebase is released.
Our lab have 5 papers accepted to NeurIPS 2018.
Our lab have 26 papers accepted to ECCV 2018.
Our lab have 28 papers (1 oral and 7 spotlight) accepted to CVPR 2018.