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Dong Liu
An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values

Dec 14, 2020
Danny Smyl, Tyler N. Tallman, Dong Liu, Andreas Hauptmann


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Learning Trailer Moments in Full-Length Movies

Aug 19, 2020
Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas

* Accepted by ECCV2020 
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Graph Neural Networks for Massive MIMO Detection

Jul 11, 2020
Andrea Scotti, Nima N. Moghadam, Dong Liu, Karl Gafvert, Jinliang Huang

* ICML 2020 Workshop on Graph Representation Learning and Beyond (GRL+) 
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Bottom-Up Human Pose Estimation by Ranking Heatmap-Guided Adaptive Keypoint Estimates

Jun 28, 2020
Ke Sun, Zigang Geng, Depu Meng, Bin Xiao, Dong Liu, Zhaoxiang Zhang, Jingdong Wang


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$α$ Belief Propagation for Approximate Inference

Jun 27, 2020
Dong Liu, Minh Thành Vu, Zuxing Li, Lars K. Rasmussen


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Efficient Integer-Arithmetic-Only Convolutional Neural Networks

Jun 21, 2020
Hengrui Zhao, Dong Liu, Houqiang Li

* 8 pages, 4 figures 
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Region-based Energy Neural Network for Approximate Inference

Jun 17, 2020
Dong Liu, Ragnar Thobaben, Lars K. Rasmussen


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Foreground-Background Imbalance Problem in Deep Object Detectors: A Review

Jun 16, 2020
Joya Chen, Qi Wu, Dong Liu, Tong Xu

* Accepted by IEEE MIPR 2020 
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Transferring and Regularizing Prediction for Semantic Segmentation

Jun 11, 2020
Yiheng Zhang, Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Dong Liu, Tao Mei

* CVPR 2020 
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M-LVC: Multiple Frames Prediction for Learned Video Compression

Apr 21, 2020
Jianping Lin, Dong Liu, Houqiang Li, Feng Wu

* Accepted to appear in CVPR2020; camera-ready 
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Accelerating Deep Reinforcement Learning With the Aid of a Partial Model: Power-Efficient Predictive Video Streaming

Mar 21, 2020
Dong Liu, Jianyu Zhao, Chenyang Yang, Lajos Hanzo


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Is There Tradeoff between Spatial and Temporal in Video Super-Resolution?

Mar 13, 2020
Haochen Zhang, Dong Liu, Zhiwei Xiong


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Dual Temporal Memory Network for Efficient Video Object Segmentation

Mar 13, 2020
Kaihua Zhang, Long Wang, Dong Liu, Bo Liu, Qingshan Liu, Zhu Li

* 10 pages, 5 figures 
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Optimizing Wireless Systems Using Unsupervised and Reinforced-Unsupervised Deep Learning

Jan 03, 2020
Dong Liu, Chengjian Sun, Chenyang Yang, Lajos Hanzo

* To appear in IEEE Network Magazine 
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Hidden Markov Models for sepsis detection in preterm infants

Oct 30, 2019
Antoine Honore, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund

* Submitted at the 45th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelona, Spain 
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Optimizing electrode positions for 2D Electrical Impedance Tomography sensors using deep learning

Oct 21, 2019
Danny Smyl, Dong Liu


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Powering Hidden Markov Model by Neural Network based Generative Models

Oct 13, 2019
Dong Liu, Antoine Honoré, Saikat Chatterjee, Lars K. Rasmussen


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Are Sampling Heuristics Necessary in Object Detectors?

Sep 26, 2019
Joya Chen, Dong Liu, Tong Xu, Enhong Chen

* This short report needs a further refinement. We will submit a full paper with more elegant methods as soon as possible. Thank you! 
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A Comprehensive Benchmark for Single Image Compression Artifacts Reduction

Sep 09, 2019
Jiaying Liu, Dong Liu, Wenhan Yang, Sifeng Xia, Xiaoshuai Zhang, Yuanying Dai

* https://flyywh.github.io/LIU4K_Website/ 
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Customizable Architecture Search for Semantic Segmentation

Aug 26, 2019
Yiheng Zhang, Zhaofan Qiu, Jingen Liu, Ting Yao, Dong Liu, Tao Mei

* CVPR 2019 
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Residual Objectness for Imbalance Reduction

Aug 24, 2019
Joya Chen, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu, Enhong Chen

* Tech report 
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$α$ Belief Propagation as Fully Factorized Approximation

Aug 23, 2019
Dong Liu, Nima N. Moghadam, Lars K. Rasmussen, Jinliang Huang, Saikat Chatterjee

* GlobalSIP 2019 
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Deep High-Resolution Representation Learning for Visual Recognition

Aug 20, 2019
Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, Bin Xiao

* arXiv admin note: text overlap with arXiv:1904.04514 
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Neural Network based Explicit Mixture Models and Expectation-maximization based Learning

Jul 31, 2019
Dong Liu, Minh Thành Vu, Saikat Chatterjee, Lars K. Rasmussen


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Model-Free Unsupervised Learning for Optimization Problems with Constraints

Jul 30, 2019
Chengjian Sun, Dong Liu, Chenyang Yang

* Submitted to Asia-Pacific Conference on Communications (APCC) 
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Composition-Aware Image Aesthetics Assessment

Jul 25, 2019
Dong Liu, Rohit Puri, Nagendra Kamath, Subhabrata Bhattachary


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On The Classification-Distortion-Perception Tradeoff

Apr 18, 2019
Dong Liu, Haochen Zhang, Zhiwei Xiong


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High-Resolution Representations for Labeling Pixels and Regions

Apr 09, 2019
Ke Sun, Yang Zhao, Borui Jiang, Tianheng Cheng, Bin Xiao, Dong Liu, Yadong Mu, Xinggang Wang, Wenyu Liu, Jingdong Wang


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Two-Stream Oriented Video Super-Resolution for Action Recognition

Mar 13, 2019
Haochen Zhang, Dong Liu, Zhiwei Xiong

* 10 pages 
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