163 citations · 489 across the 48 of their papers we have counts for
5 papers · 1 filter
Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks
Tianshui Chen, Liang Lin, Wangmeng Zuo +2
Accelerating deep neural networks (DNNs) has been attracting increasing attention as it can benefit a wide range of applications, e.g., enabling mobile systems with limited computi…
Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition
Tianshui Chen, Zhouxia Wang, Guanbin Li +1
Recognizing multiple labels of images is a fundamental but challenging task in computer vision, and remarkable progress has been attained by localizing semantic-aware image regions…
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Zhouxia Wang, Tianshui Chen, Guanbin Li +2
This paper proposes a novel deep architecture to address multi-label image recognition, a fundamental and practical task towards general visual understanding. Current solutions for…
Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Dongyu Zhang, Liang Lin, Tianshui Chen +3
Sketch portrait generation benefits a wide range of applications such as digital entertainment and law enforcement. Although plenty of efforts have been dedicated to this task, sev…
Knowledge-Guided Recurrent Neural Network Learning for Task-Oriented Action Prediction
Liang Lin, Lili Huang, Tianshui Chen +2
This paper aims at task-oriented action prediction, i.e., predicting a sequence of actions towards accomplishing a specific task under a certain scene, which is a new problem in co…