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20162023
most citedAdaptive Sampling Towards Fast Graph Representation Learning

225 citations · 432 across the 20 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 62 cited

Weakly Supervised Dense Event Captioning in Videos

Xuguang Duan, Wenbing Huang, Chuang Gan +3

Dense event captioning aims to detect and describe all events of interest contained in a video. Despite the advanced development in this area, existing methods tackle this task by…

cs.CV2018★ 225 cited

Adaptive Sampling Towards Fast Graph Representation Learning

Wenbing Huang, Tong Zhang, Yu Rong +1

Graph Convolutional Networks (GCNs) have become a crucial tool on learning representations of graph vertices. The main challenge of adapting GCNs on large-scale graphs is the scala…

cs.CV2018★ 3 cited

Deep Feature Pyramid Reconfiguration for Object Detection

Tao Kong, Fuchun Sun, Wenbing Huang +1

State-of-the-art object detectors usually learn multi-scale representations to get better results by employing feature pyramids. However, the current designs for feature pyramids a…

cs.CV2018★ 2 cited

Controllable Image-to-Video Translation: A Case Study on Facial Expression Generation

Lijie Fan, Wenbing Huang, Chuang Gan +2

The recent advances in deep learning have made it possible to generate photo-realistic images by using neural networks and even to extrapolate video frames from an input video clip…

cs.CV2018★ 31 cited

End-to-End Learning of Motion Representation for Video Understanding

Lijie Fan, Wenbing Huang, Chuang Gan +3

Despite the recent success of end-to-end learned representations, hand-crafted optical flow features are still widely used in video analysis tasks. To fill this gap, we propose TVN…