What's New in LV

• Best Student Paper Award at ACM MM 2018

  Our lab members won the "Best Student Paper Award" at the 26th ACM International Conference on Multimedia which was held during 22-26 Oct, 2018, at Seoul, Republic of Korea. The awarded work by Jian Zhao, Jianshu Li, Yu Cheng, Terence Sim, Shuicheng Yan, Jiashi Feng was titled "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing". Congratulations!

  Attached are Zhao Jian and Jianshu giving presentation at the conference (image 1) and them receiving the award with Jiashi (image 2). See image in new tab to zoom in. [30/10/2018]

  

• Congratulations to Dr. Feng: "Innovators Under 35" Asia 2018

  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!

  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]

• LV Team Achieved NO. 1 on MS-Celeb-1M Large-Scale Face Recognition Hard Set / Random Set / Low-Shot Learning Challenge!

  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]