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Separable Convolutional Eigen-Filters (SCEF): Building Efficient CNNs Using Redundancy Analysis

Nov 16, 2019
Samuel Scheidegger, Yinan Yu, Tomas McKelvey

* key words: subspace analysis, convolutional neural networks, FLOPs, number of parameters, depth, depthwise separable convolutions 

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Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel -- Metric Learning for Classification

Oct 21, 2019
Yinan Yu, Tomas McKelvey


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SSAP: Single-Shot Instance Segmentation With Affinity Pyramid

Sep 04, 2019
Naiyu Gao, Yanhu Shan, Yupei Wang, Xin Zhao, Yinan Yu, Ming Yang, Kaiqi Huang

* ICCV 2019 

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High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection

Apr 23, 2019
Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu

* An extension of the paper accepted by CVPR2019, the title is changed to 'Center and Scale Prediction: A Box-free Approach for Object Detection' 

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High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection

Apr 05, 2019
Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu

* Accepted by CVPR2019 

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Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making

Feb 01, 2018
Jingchu Liu, Pengfei Hou, Lisen Mu, Yinan Yu, Chang Huang

* 7 pages, 2 figures 

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Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation

Oct 17, 2016
Yiyi Liao, Lichao Huang, Yue Wang, Sarath Kodagoda, Yinan Yu, Yong Liu


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DenseBox: Unifying Landmark Localization with End to End Object Detection

Sep 19, 2015
Lichao Huang, Yi Yang, Yafeng Deng, Yinan Yu


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