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Dong Liu

Learned Image Compression with Discretized Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules


Jul 18, 2021
Haisheng Fu, Feng Liang, Jianping Lin, Bing Li, Mohammad Akbari, Jie Liang, Guohe Zhang, Dong Liu, Chengjie Tu, Jingning Han

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* Submitted to IEEE Transactions On Image Processing 
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Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability


Jul 01, 2021
Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee

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* 12 pages, 4 figures 
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Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification


May 11, 2021
Jiawei Liu, Zhipeng Huang, Kecheng Zheng, Dong Liu, Xiaoyan Sun, Zheng-Jun Zha

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* Withdraw this paper for internal review. Since we were not familiar with the use of arXiv, our initial manuscript was uploaded by mistake and we found many inappropriate and unmodified parts of it (such as the experimental results in Table 2,3, the Equation 13). I am sorry to say that this work still needs to be further completed and we do not intend to use it for publication 
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Simultaneous Navigation and Construction Benchmarking Environments


Mar 31, 2021
Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dong Liu, Lerrel Pinto, Ludovic Righetti

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Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE


Mar 18, 2021
Jialun Peng, Dong Liu, Songcen Xu, Houqiang Li

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* Accepted in CVPR 2021 
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Synergy Between Semantic Segmentation and Image Denoising via Alternate Boosting


Feb 24, 2021
Shunxin Xu, Ke Sun, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha

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Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows


Feb 15, 2021
Anubhab Ghosh, Antoine Honoré, Dong Liu, Gustav Eje Henter, Saikat Chatterjee

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* 6 pages. Accepted at MLSP 2020 
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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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* CVPR 2019 
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