234 citations · 456 across the 13 of their papers we have counts for
6 papers · 1 filter
Action Shuffling for Weakly Supervised Temporal Localization
Xiao-Yu Zhang, Haichao Shi, Changsheng Li +1
Weakly supervised action localization is a challenging task with extensive applications, which aims to identify actions and the corresponding temporal intervals with only video-lev…
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
Xiao-Yu Zhang, Changsheng Li, Haichao Shi +3
The point process is a solid framework to model sequential data, such as videos, by exploring the underlying relevance. As a challenging problem for high-level video understanding,…
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision
Xiao-Yu Zhang, Haichao Shi, Changsheng Li +3
Action recognition in videos has attracted a lot of attention in the past decade. In order to learn robust models, previous methods usually assume videos are trimmed as short seque…
Recurrent Calibration Network for Irregular Text Recognition
Yunze Gao, Yingying Chen, Jinqiao Wang +3
Scene text recognition has received increased attention in the research community. Text in the wild often possesses irregular arrangements, typically including perspective text, cu…
Synchronized Detection and Recovery of Steganographic Messages with Adversarial Learning
Haichao Shi, Xiao-Yu Zhang
In this work, we mainly study the mechanism of learning the steganographic algorithm as well as combining the learning process with adversarial learning to learn a good steganograp…
SSGAN: Secure Steganography Based on Generative Adversarial Networks
Haichao Shi, Jing Dong, Wei Wang +2
In this paper, a novel strategy of Secure Steganograpy based on Generative Adversarial Networks is proposed to generate suitable and secure covers for steganography. The proposed a…