Yuanjun Xiong

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Applied Scientist at Amazon Rekognition since 2017, Postdoctoral Fellow at The Chinese University of Hong Kong 2016-2017, PhD Student at The Chinese University of Hong Kong from 2012-2016, Visiting Researcher at Google 2015

Action recognition with spatial-temporal discriminative filter banks

Action recognition has seen a dramatic performance improvement in the la...
08/20/2019 ∙ by Brais Martinez, et al. ∙ 26 ∙ share

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WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
02/19/2019 ∙ by Chen Change Loy, et al. ∙ 6 ∙ share

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Towards Backward-Compatible Representation Learning

We propose a way to learn visual features that are compatible with previ...
03/26/2020 ∙ by Yantao Shen, et al. ∙ 4 ∙ share

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From Trailers to Storylines: An Efficient Way to Learn from Movies

The millions of movies produced in the human history are valuable resour...
06/14/2018 ∙ by Qingqiu Huang, et al. ∙ 2 ∙ share

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Face Detection through Scale-Friendly Deep Convolutional Networks

In this paper, we share our experience in designing a convolutional netw...
06/09/2017 ∙ by Shuo Yang, et al. ∙ 0 ∙ share

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Temporal Segment Networks for Action Recognition in Videos

Deep convolutional networks have achieved great success for image recogn...
05/08/2017 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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UntrimmedNets for Weakly Supervised Action Recognition and Detection

Current action recognition methods heavily rely on trimmed videos for mo...
03/09/2017 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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A Pursuit of Temporal Accuracy in General Activity Detection

Detecting activities in untrimmed videos is an important but challenging...
03/08/2017 ∙ by Yuanjun Xiong, et al. ∙ 0 ∙ share

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Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

Convolutional Neural Networks (CNNs) have made remarkable progress on sc...
10/04/2016 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Deep convolutional networks have achieved great success for visual recog...
08/02/2016 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

This paper presents the method that underlies our submission to the untr...
08/02/2016 ∙ by Yuanjun Xiong, et al. ∙ 0 ∙ share

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Towards Good Practices for Very Deep Two-Stream ConvNets

Deep convolutional networks have achieved great success for object recog...
07/08/2015 ∙ by Limin Wang, et al. ∙ 0 ∙ share

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DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

In this paper, we propose multi-stage and deformable deep convolutional ...
09/11/2014 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Dynamics of human body skeletons convey significant information for huma...
01/23/2018 ∙ by Sijie Yan, et al. ∙ 0 ∙ share

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Optimizing Video Object Detection via a Scale-Time Lattice

High-performance object detection relies on expensive convolutional netw...
04/16/2018 ∙ by Kai Chen, et al. ∙ 0 ∙ share

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Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Neural net classifiers trained on data with annotated class labels can a...
05/05/2018 ∙ by Zhirong Wu, et al. ∙ 0 ∙ share

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Motion Guided 3D Pose Estimation from Videos

We propose a new loss function, called motion loss, for the problem of m...
04/29/2020 ∙ by Jingbo Wang, et al. ∙ 0 ∙ share

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Yuanjun Xiong

Featured Co-authors

Luc Van Gool

Xiaogang Wang

Wei Li

Chen Change Loy

Wanli Ouyang

Dahua Lin

Zhe Wang

Tao Mei

Stefano Soatto

Xiaoou Tang

Junjie Yan

Action recognition with spatial-temporal discriminative filter banks

WIDER Face and Pedestrian Challenge 2018: Methods and Results

Towards Backward-Compatible Representation Learning

From Trailers to Storylines: An Efficient Way to Learn from Movies

Face Detection through Scale-Friendly Deep Convolutional Networks

Temporal Segment Networks for Action Recognition in Videos

UntrimmedNets for Weakly Supervised Action Recognition and Detection

A Pursuit of Temporal Accuracy in General Activity Detection

Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016

Towards Good Practices for Very Deep Two-Stream ConvNets

DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Optimizing Video Object Detection via a Scale-Time Lattice

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Motion Guided 3D Pose Estimation from Videos