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Efficient Regional Memory Network for Video Object Segmentation


Mar 24, 2021
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun

* CVPR 2021 

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Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images


Jul 07, 2020
Haozhe Xie, Hongxun Yao, Shengping Zhang, Shangchen Zhou, Wenxiu Sun

* International Journal of Computer Vision (IJCV). arXiv admin note: text overlap with arXiv:1901.11153 

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GRNet: Gridding Residual Network for Dense Point Cloud Completion


Jul 03, 2020
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun

* ECCV 2020 

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Scene Text Recognition via Transformer


Apr 10, 2020
Xinjie Feng, Hongxun Yao, Yuankai Qi, Jun Zhang, Shengping Zhang


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Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory


Mar 14, 2020
Shuo Yang, Min Xu, Hongxun Yao


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Adaptive Semantic-Visual Tree for Hierarchical Embeddings


Mar 08, 2020
Shuo Yang, Wei Yu, Ying Zheng, Hongxun Yao, Tao Mei

* The 27th ACM Multimedia (2019) 2097-2105 

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SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation


Nov 20, 2019
Sheng Jin, Shangchen Zhou, Yao Liu, Chao Chen, Xiaoshuai Sun, Hongxun Yao, Xiansheng Hua


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Toward 3D Object Reconstruction from Stereo Images


Oct 21, 2019
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Xiaoshuai Sun, Wenxiu Sun


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Sketch-Specific Data Augmentation for Freehand Sketch Recognition


Oct 14, 2019
Ying Zheng, Hongxun Yao, Xiaoshuai Sun, Shengping Zhang, Sicheng Zhao, Fatih Porikli


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Deep Semantic Parsing of Freehand Sketches with Homogeneous Transformation, Soft-Weighted Loss, and Staged Learning


Oct 14, 2019
Ying Zheng, Hongxun Yao, Xiaoshuai Sun

* 11 pages 

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Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images


Jan 31, 2019
Haozhe Xie, Hongxun Yao, Xiaoshuai Sun, Shangchen Zhou, Shengping Zhang, Xiaojun Tong


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Visualizing and Comparing Convolutional Neural Networks


Dec 26, 2014
Wei Yu, Kuiyuan Yang, Yalong Bai, Hongxun Yao, Yong Rui

* 9 pages and 7 figures, submit to ICLR2015 

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