30 citations · 39 across the 5 of their papers we have counts for
5 papers
UFO: Unified Feature Optimization
Teng Xi, Yifan Sun, Deli Yu +13
This paper proposes a novel Unified Feature Optimization (UFO) paradigm for training and deploying deep models under real-world and large-scale scenarios, which requires a collecti…
Dynamic Class Queue for Large Scale Face Recognition In the Wild
Bi Li, Teng Xi, Gang Zhang +5
Learning discriminative representation using large-scale face datasets in the wild is crucial for real-world applications, yet it remains challenging. The difficulties lie in many…
Learning Global Structure Consistency for Robust Object Tracking
Bi Li, Chengquan Zhang, Zhibin Hong +5
Fast appearance variations and the distractions of similar objects are two of the most challenging problems in visual object tracking. Unlike many existing trackers that focus on m…
Grand Challenge of 106-Point Facial Landmark Localization
Yinglu Liu, Hao Shen, Yue Si +18
Facial landmark localization is a very crucial step in numerous face related applications, such as face recognition, facial pose estimation, face image synthesis, etc. However, pre…
Learning to Update for Object Tracking with Recurrent Meta-learner
Bi Li, Wenxuan Xie, Wenjun Zeng +1
Model update lies at the heart of object tracking. Generally, model update is formulated as an online learning problem where a target model is learned over the online training set.…