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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

* Submitted to IEEE Transactions On Image Processing 

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High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network


May 19, 2021
Jie Liang, Hui Zeng, Lei Zhang

* To appear at CVPR 2021 

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PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency


May 19, 2021
Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie, Lei Zhang

* To appear at CVPR 2021 

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Learned Multi-Resolution Variable-Rate Image Compression with Octave-based Residual Blocks


Dec 31, 2020
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

* 10 pages, 9 figures, 1 table; accepted to IEEE Transactions on Multimedia 2020. arXiv admin note: substantial text overlap with arXiv:1912.05688 

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A Multi-task Joint Framework for Real-time Person Search


Dec 11, 2020
Ye Li, Kangning Yin, Jie Liang, Chunyu Wang, Guangqiang Yin


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Generalized Octave Convolutions for Learned Multi-Frequency Image Compression


Feb 24, 2020
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

* 10 pages, 7 figures, 3 tables 

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Deep Learning-based Image Compression with Trellis Coded Quantization


Jan 26, 2020
Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang

* Accepted in Data Compression Conference (DCC) 2020 

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Learned Variable-Rate Image Compression with Residual Divisive Normalization


Dec 11, 2019
Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

* 6 pages, 5 figures 

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Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs


Jul 15, 2019
Haisheng Fu, Feng Liang, Bo Lei, Nai Bian, Qian zhang, Mohammad Akbari, Jie Liang, Chengjie Tu

* Submitted to Signal Processing: Image Communication 

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Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship


Jan 23, 2019
Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang

* 13 pages, 4 figures, 6 tables 

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DSSLIC: Deep Semantic Segmentation-based Layered Image Compression


Jul 11, 2018
Mohammad Akbari, Jie Liang, Jingning Han

* - Experimental results for another dataset added. - More visual examples added 

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Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation


Jun 01, 2018
Mohammad Akbari, Jie Liang

* 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 2321-2325 
* 5 pages, 6 figures, ICASSP 2018 

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Local Activity-tuned Image Filtering for Noise Removal and Image Smoothing


Nov 18, 2017
Lijun Zhao, Jie Liang, Huihui Bai, Lili Meng, Anhong Wang, Yao Zhao

* 13 papers, 9 figures 

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Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network


Nov 08, 2017
Lijun Zhao, Huihui Bai, Jie Liang, Bing Zeng, Anhong Wang, Yao Zhao

* 11 pages, 10 figures 

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Scalable Compression of Deep Neural Networks


Aug 26, 2016
Xing Wang, Jie Liang

* 5 pages, 4 figures, ACM Multimedia 2016 

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On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification


May 19, 2016
Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao


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