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TJU-DHD: A Diverse High-Resolution Dataset for Object Detection

Nov 18, 2020
Yanwei Pang, Jiale Cao, Yazhao Li, Jin Xie, Hanqing Sun, Jinfeng Gong

* IEEE Transactions on Image Processing, 2020 
* object detection and pedestrian detection. website: https://github.com/tjubiit/TJU-DHD 

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From Handcrafted to Deep Features for Pedestrian Detection: A Survey

Oct 01, 2020
Jiale Cao, Yanwei Pang, Jin Xie, Fahad Shahbaz Khan, Ling Shao

* 23 pages, 10 figures, Projects: https://github.com/JialeCao001/PedSurvey 

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Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation

Jul 30, 2020
Mingmei Cheng, Le Hui, Jin Xie, Jian Yang, Hui Kong

* Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems 2020 (IROS) 

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Progressive Point Cloud Deconvolution Generation Network

Jul 10, 2020
Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang

* Accepted to ECCV 2020; Project page: https://github.com/fpthink/PDGN 

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PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection

Jan 25, 2020
Jin Xie, Yanwei Pang, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao


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A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder

Nov 26, 2019
Jin Xie, Longfei Wang, Paula Webster, Yang Yao, Jiayao Sun, Shuo Wang, Huihui Zhou


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Mask-Guided Attention Network for Occluded Pedestrian Detection

Oct 15, 2019
Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao

* Accepted at ICCV 2019 

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A Method to Facilitate Cancer Detection and Type Classification from Gene Expression Data using a Deep Autoencoder and Neural Network

Dec 20, 2018
Xi Chen, Jin Xie, Qingcong Yuan

* 6 pages 

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