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Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation


May 19, 2021
Giovanni Bonetta, Rossella Cancelliere, Ding Liu, Paul Vozila

* The International FLAIRS Conference Proceedings volume 34 issue 1 

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Understanding Neural Networks with Logarithm Determinant Entropy Estimator


May 08, 2021
Zhanghao Zhouyin, Ding Liu

* 15pages,22 figures 

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Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis


Apr 12, 2021
Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen, Jan P. Allebach

* 19 pages, 17 figures 

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Progressive Temporal Feature Alignment Network for Video Inpainting


Apr 08, 2021
Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee

* Accepted in CVPR2021 

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CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation


Dec 07, 2020
Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi

* Accepted to AAAI 2021 

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Outlier Detection Using a Novel method: Quantum Clustering


Jun 08, 2020
Ding Liu, Hui Li

* 9 pages, 18 figures 

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Neural Sparse Representation for Image Restoration


Jun 08, 2020
Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang


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Pyramid Attention Networks for Image Restoration


Jun 03, 2020
Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi


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Quantum-Classical Machine learning by Hybrid Tensor Networks


May 15, 2020
Ding Liu, Zekun Yao, Quan Zhang


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Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks


May 06, 2020
Wei Xiong, Ding Liu, Xiaohui Shen, Chen Fang, Jiebo Luo

* 17 pages 

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Scale-wise Convolution for Image Restoration


Dec 19, 2019
Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang

* AAAI 2020 

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DAVID: Dual-Attentional Video Deblurring


Dec 07, 2019
Junru Wu, Xiang Yu, Ding Liu, Manmohan Chandraker, Zhangyang Wang

* Accepted in WACV 2020 

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Information Bottleneck Methods on Convolutional Neural Networks


Nov 09, 2019
Junjie Li, Ding Liu

* 7 pages,28 figures 

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EnlightenGAN: Deep Light Enhancement without Paired Supervision


Jun 17, 2019
Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang


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Generative Tensor Network Classification Model for Supervised Machine Learning


Mar 26, 2019
Zheng-Zhi Sun, Cheng Peng, Ding Liu, Shi-Ju Ran, Gang Su

* 7 pages, 5 figures 

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Machine Learning by Two-Dimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures


Oct 23, 2018
Ding Liu, Shi-Ju Ran, Peter Wittek, Cheng Peng, Raul Blázquez García, Gang Su, Maciej Lewenstein

* 6 pages, 4 figures. The numerical results in this new version have been largely improved 

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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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U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting


Aug 05, 2018
Ramakrishna Prabhu, Xiaojing Yu, Zhangyang Wang, Ding Liu, Anxiao, Jiang

* ECCV 2018 Track-3 Challenge Inpainting to denoise fingerprint 

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Non-Local Recurrent Network for Image Restoration


Jun 07, 2018
Ding Liu, Bihan Wen, Yuchen Fan, Chen Change Loy, Thomas S. Huang


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Understanding Convolution for Semantic Segmentation


Jun 01, 2018
Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison Cottrell

* WACV 2018. Updated acknowledgements. Source code: https://github.com/TuSimple/TuSimple-DUC 

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Image Super-Resolution via Dual-State Recurrent Networks


May 07, 2018
Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang


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Survey of Face Detection on Low-quality Images


Apr 19, 2018
Yuqian Zhou, Ding Liu, Thomas Huang


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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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Learning Simple Thresholded Features with Sparse Support Recovery


Apr 16, 2018
Zhangyang Wang, Hongyu Xu, Haichuan Yang, Ding Liu, Ji Liu

* Submitted to IEEE TSP Journal 

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Enhance Visual Recognition under Adverse Conditions via Deep Networks


Dec 20, 2017
Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang


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Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids


Dec 04, 2017
Zhiqiang Shen, Honghui Shi, Rogerio Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang


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Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach


Sep 10, 2017
Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang

* Accepted by the Seventh International Conference on Affective Computing and Intelligent Interaction (ACII2017) 

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Learning Audio Sequence Representations for Acoustic Event Classification


Jul 27, 2017
Zixing Zhang, Ding Liu, Jing Han, Björn Schuller


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