9 citations · 14 across the 4 of their papers we have counts for
6 papers
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
Chengzhi Jiang, Yanzhou Su, Wen Wang +3
Existing classification-based face recognition methods have achieved remarkable progress, introducing large margin into hypersphere manifold to learn discriminative facial represen…
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
Wen Wang, Xiaojiang Peng, Yanzhou Su +2
Video action anticipation aims to predict future action categories from observed frames. Current state-of-the-art approaches mainly resort to recurrent neural networks to encode hi…
A Comprehensive Study on Temporal Modeling for Online Action Detection
Wen Wang, Xiaojiang Peng, Yu Qiao +1
Online action detection (OAD) is a practical yet challenging task, which has attracted increasing attention in recent years. A typical OAD system mainly consists of three modules:…
The General Pair-based Weighting Loss for Deep Metric Learning
Haijun Liu, Jian Cheng, Wen Wang +1
Deep metric learning aims at learning the distance metric between pair of samples, through the deep neural networks to extract the semantic feature embeddings where similar samples…
Attention: A Big Surprise for Cross-Domain Person Re-Identification
Haijun Liu, Jian Cheng, Shiguang Wang +1
In this paper, we focus on model generalization and adaptation for cross-domain person re-identification (Re-ID). Unlike existing cross-domain Re-ID methods, leveraging the auxilia…
Temporal Action Detection by Joint Identification-Verification
Wen Wang, Yongjian Wu, Haijun Liu +2
Temporal action detection aims at not only recognizing action category but also detecting start time and end time for each action instance in an untrimmed video. The key challenge…