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
pioneers,
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
and
deep learning, publishing over 40 papers on top conferences (CVPR/ICCV/ECCV/NIPS) every
year.
Our lab has a large group of talented students, plenty of computational resources, and
steady
financial support, and free research environment.
05/2019
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.
05/2019
NTIRE 2019 winner
Our new video restoration method, EDVR, won all four tracks in the
NTIRE 2019 video
restoration and enhancement challenges.
02/2019
CVPR 2019
We have 33 papers (7 oral) accepted to CVPR 2019.
12/2018
ICLR 2019
Our lab have 3 papers accepted to ICLR 2019.
11/2018
AAAI 2019
Our lab have 6 papers (4 oral and 1 spotlight) accepted to AAAI 2019.
09/2018
COCO 2018 Challenge Winner
Our team MMDet wins the COCO
2018 Challenge (object detection/instance segmentation track). Codebase is released.
09/2018
NeurIPS 2018
Our lab have 5 papers accepted to NeurIPS 2018.
07/2018
ECCV 2018
Our lab have 26 papers accepted to ECCV 2018.
02/2018
CVPR 2018
Our lab have 28 papers (1 oral and 7 spotlight) accepted to CVPR 2018.