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High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion


Apr 13, 2021
Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji


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Learning Scalable $\ell_\infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression


Mar 31, 2021
Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji

* Accepted by CVPR 2021; Code: https://github.com/BYchao100/Scalable-Near-lossless-Image-Compression 

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Deep Learning-based Face Super-resolution: A Survey


Jan 11, 2021
Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma

* 40 pages, 13 figures 

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Unsupervised Constrative Person Re-identification


Oct 15, 2020
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu


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AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation


Aug 16, 2020
Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang


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Graph Signal Processing for Geometric Data and Beyond: Theory and Applications


Aug 05, 2020
Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro

* 16 pages, 6 figures 

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Single Image Deraining via Scale-space Invariant Attention Neural Network


Jun 11, 2020
Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu


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Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery


May 24, 2020
Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma

* Accepted for publication at IEEE Transactions on Computational Imaging 

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Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis


Mar 18, 2020
Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao


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Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing


Mar 14, 2020
Qiang Li, Xianming Liu, Kaige Han, Cheng Guo, Xiangyang Ji, Xiaolin Wu


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ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising


Mar 04, 2020
Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu


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FasterSeg: Searching for Faster Real-time Semantic Segmentation


Jan 16, 2020
Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

* ICLR 2020 accepted 

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Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network


Aug 02, 2019
Tao Hu, Lichao Huang, Xianming Liu, Han Shen


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Depth Restoration: A fast low-rank matrix completion via dual-graph regularization


Jul 05, 2019
Wenxiang Zuo, Qiang Li, Xianming Liu


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Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior


Jun 11, 2019
Yuanchao Bai, Huizhu Jia, Ming Jiang, Xianming Liu, Xiaodong Xie, Wen Gao

* To appear in IEEE Transactions on Circuits and Systems for Video Technology, 2019; Image downsampling makes a good prior for fast blind image deblurring 

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Hyperspectral Image Classification in the Presence of Noisy Labels


Sep 12, 2018
Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu

* Accepted by IEEE TGRS 

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Connecting Image Denoising and High-Level Vision Tasks via Deep Learning


Sep 06, 2018
Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang

* arXiv admin note: text overlap with arXiv:1706.04284 

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When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach


Apr 16, 2018
Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang

* the 27th International Joint Conference on Artificial Intelligence (2018) 

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Graph-Based Blind Image Deblurring From a Single Photograph


Feb 22, 2018
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao


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Blind Image Deblurring via Reweighted Graph Total Variation


Dec 24, 2017
Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao

* 5 pages, submitted to IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, April, 2018 

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Mapping the world population one building at a time


Dec 15, 2017
Tobias G. Tiecke, Xianming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray, Brian Blankespoor, Espen B. Prydz, Hai-Anh H. Dang


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Building Detection from Satellite Images on a Global Scale


Jul 27, 2017
Amy Zhang, Xianming Liu, Andreas Gros, Tobias Tiecke


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Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation


Dec 08, 2016
Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang

* 9 pages, 4 figures 

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Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images


Jul 07, 2016
Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao


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