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20172021
most citedSkeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks

547 citations · 1.2k across the 24 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.CV2017★ 55 cited

Reading Scene Text with Attention Convolutional Sequence Modeling

Yunze Gao, Yingying Chen, Jinqiao Wang +1

Reading text in the wild is a challenging task in the field of computer vision. Existing approaches mainly adopted Connectionist Temporal Classification (CTC) or Attention models b…

cs.SI2017★ 5 cited

CONE: Community Oriented Network Embedding

Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang

Detecting communities has long been popular in the research on networks. It is usually modeled as an unsupervised clustering problem on graphs, based on heuristic assumptions about…

cs.CV2017★ 83 cited

Stacked Deconvolutional Network for Semantic Segmentation

Jun Fu, Jing Liu, Yuhang Wang +1

Recent progress in semantic segmentation has been driven by improving the spatial resolution under Fully Convolutional Networks (FCNs). To address this problem, we propose a Stacke…

cs.CV2017★ 1 cited

CoupleNet: Coupling Global Structure with Local Parts for Object Detection

Yousong Zhu, Chaoyang Zhao, Jinqiao Wang +3

The region-based Convolutional Neural Network (CNN) detectors such as Faster R-CNN or R-FCN have already shown promising results for object detection by combining the region propos…

cs.CV2017★ 6 cited

Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition

Congqi Cao, Yifan Zhang, Chunjie Zhang +1

Three dimensional convolutional neural networks (3D CNNs) have been established as a powerful tool to simultaneously learn features from both spatial and temporal dimensions, which…