1.1k citations · 2.6k across the 75 of their papers we have counts for
12 papers · 1 filter
Gaussian-Induced Convolution for Graphs
Jiatao Jiang, Zhen Cui, Chunyan Xu +1
Learning representation on graph plays a crucial role in numerous tasks of pattern recognition. Different from grid-shaped images/videos, on which local convolution kernels can be…
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
Xiangbo Shu, Jinhui Tang, Guo-Jun Qi +2
In this paper, we aim to address the problem of human interaction recognition in videos by exploring the long-term inter-related dynamics among multiple persons. Recently, Long Sho…
DSFD: Dual Shot Face Detector
Jian Li, Yabiao Wang, Changan Wang +6
In this paper, we propose a novel face detection network with three novel contributions that address three key aspects of face detection, including better feature learning, progres…
Context-Dependent Diffusion Network for Visual Relationship Detection
Zhen Cui, Chunyan Xu, Wenming Zheng +1
Visual relationship detection can bridge the gap between computer vision and natural language for scene understanding of images. Different from pure object recognition tasks, the r…
Person Search via A Mask-Guided Two-Stream CNN Model
Di Chen, Shanshan Zhang, Wanli Ouyang +2
In this work, we tackle the problem of person search, which is a challenging task consisted of pedestrian detection and person re-identification~(re-ID). Instead of sharing represe…
When Work Matters: Transforming Classical Network Structures to Graph CNN
Wenting Zhao, Chunyan Xu, Zhen Cui +4
Numerous pattern recognition applications can be formed as learning from graph-structured data, including social network, protein-interaction network, the world wide web data, know…
Walk-Steered Convolution for Graph Classification
Jiatao Jiang, Chunyan Xu, Zhen Cui +3
Graph classification is a fundamental but challenging issue for numerous real-world applications. Despite recent great progress in image/video classification, convolutional neural…
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition
Chaolong Li, Zhen Cui, Wenming Zheng +2
Variations of human body skeletons may be considered as dynamic graphs, which are generic data representation for numerous real-world applications. In this paper, we propose a spat…
Adversarial Metric Learning
Shuo Chen, Chen Gong, Jian Yang +3
In the past decades, intensive efforts have been put to design various loss functions and metric forms for metric learning problem. These improvements have shown promising results…
Densely Connected Bidirectional LSTM with Applications to Sentence Classification
Zixiang Ding, Rui Xia, Jianfei Yu +2
Deep neural networks have recently been shown to achieve highly competitive performance in many computer vision tasks due to their abilities of exploring in a much larger hypothesi…
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
Xi Cheng, Xiang Li, Ying Tai +1
Single image super resolution is a very important computer vision task, with a wide range of applications. In recent years, the depth of the super-resolution model has been constan…
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li, Shuo Chen, Xiaolin Hu +1
This paper first answers the question "why do the two most powerful techniques Dropout and Batch Normalization (BN) often lead to a worse performance when they are combined togethe…