112 citations · 308 across the 9 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 112 cited
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Yu Liu, Hongyang Li, Xiaogang Wang
Feature matters. How to train a deep network to acquire discriminative features across categories and polymerized features within classes has always been at the core of many comput…
cs.CV2017★ 56 cited
Learning Deep Features via Congenerous Cosine Loss for Person Recognition
Yu Liu, Hongyang Li, Xiaogang Wang
Person recognition aims at recognizing the same identity across time and space with complicated scenes and similar appearance. In this paper, we propose a novel method to address t…
cs.CV2017★ 25 cited
Zoom Out-and-In Network with Recursive Training for Object Proposal
Hongyang Li, Yu Liu, Wanli Ouyang +1
In this paper, we propose a zoom-out-and-in network for generating object proposals. We utilize different resolutions of feature maps in the network to detect object instances of v…