Learning and Vision Lab, ECE, NUS
Learning and Vision Lab, ECE, NUS
Dr. Feng Jiashi, Head of our lab, has been listed as one of the ten young outstanding innovators from the Asia Pacific region (Southeast Asia, Australia, New Zealand and Taiwan) on the MIT Technology Review's "Innovators Under 35" Asia 2018 list.
Dr Feng will automatically become a candidate and potential finalist for the global "Innovators Under 35" list celebrated in the fall of 2018 in Boston, USA. He will deliver a three-minute presentation at EmTach Asia in Singapore on 30-31 January 2018.
See EmTech ASIA homepage; report of ECE, NUS. [24/11/2017]
NUS-Qihoo 360 Joint Lab achieved NO. 1 on ILSVRC 2017 Object Localization Task, with all competition tasks within Top 3! This project is collaborated by NUS LV group (Yunpeng Chen, Jianan Li, Yunchao Wei, Huaxin Xiao, Jianshu Li, Mengdan Zhang, Xuecheng Nie, Xiaojie Jin, Jiashi Feng) and Qihoo 360 AI institute (Jian Dong, Shuicheng Yan). See the ILSVRC 2017 official website for official leaderboard. [20/07/2017]
The LV team achieved the top performance on the ICCV 2017 MS-Celeb-1M Large-Scale Face Recognition Hard Set / Random Set / Low-Shot Learning Challenge! This project is collaborated by NUS LV group (Feng Jiashi, Zhao Jian, Wang Zhecan) and Panasonic R&D Center Singapore (Shen Shengmei, Xu Yan, Cheng Yu, Xiong Lin, Jayashree Karlekar, Sugiri Pranata), outperforming the 2nd-best by a large margin. See the MS-Celeb-1M official website for official leaderboard, and also report of ECE, NUS. [19/07/2017]
The LV team achieved the top-2 performance on the CVPR 2017 Visual Understanding of Humans in Crowd Scene & the 1st Look into Person (LIP) Challenge Human Parsing and Pose Task! This project is supervised by Prof. Yan Shuicheng, collaborated by Zhao Jian, Nie Xuecheng, Xiao Huaxin, Chen Yunpeng, Li Jianshu, (the first three authors are with equal contributions), outperforming the 3rd-best by a large margin. See the CVPR 2017 official website for details. [05/06/2017]
The LV team achieved the top performance on the National Institute of Standards and Technology (NIST) 2017 IARPA Janus Benchmark A (IJB-A) Face Verification Challenge and Face Identification Challenge!
This project is collaborated by NUS LV group (Feng Jiashi, Zhao Jian) and Panasonic R&D Center Singapore (Shen Shengmei, Xiong Lin, Jayashree Karlekar, Sugiri Pranata), outperforming the 2nd-best by a large margin. See the NIST official website for official report. We also release a technical report on arxiv titled "A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion". [26/04/2017]
Copyright (C) 2017, Learning & Vision Lab @ NUS