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GPCO: An Unsupervised Green Point Cloud Odometry Method


Dec 08, 2021
Pranav Kadam, Min Zhang, Shan Liu, C. -C. Jay Kuo

* 10 pages, 5 figures 

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Online Meta Adaptation for Variable-Rate Learned Image Compression


Nov 16, 2021
Wei Jiang, Wei Wang, Songnan Li, Shan Liu

* 9 pages, 7 figures 

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GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds


Sep 24, 2021
Min Zhang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 10 pages, 3 figures 

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PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering


Sep 17, 2021
Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu


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Combining Attention with Flow for Person Image Synthesis


Aug 04, 2021
Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li


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Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression


Jun 16, 2021
Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li

* 10 pages, 3 figures and 5 tables 

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Recent Standard Development Activities on Video Coding for Machines


May 26, 2021
Wen Gao, Shan Liu, Xiaozhong Xu, Manouchehr Rafie, Yuan Zhang, Igor Curcio

* 13 pages 

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Substitutional Neural Image Compression


May 16, 2021
Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin


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Tencent Video Dataset (TVD): A Video Dataset for Learning-based Visual Data Compression and Analysis


May 12, 2021
Xiaozhong Xu, Shan Liu, Zeqiang Li


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R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method


Mar 15, 2021
Pranav Kadam, Min Zhang, Shan Liu, C. -C. Jay Kuo

* 13 pages, 11 figures 

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An Optimized H.266/VVC Software Decoder On Mobile Platform


Mar 05, 2021
Yiming Li, Shan Liu, Yu Chen, Yushan Zheng, Sijia Chen, Bin Zhu, Jian Lou


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SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains


Dec 15, 2020
Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas Li

* Accepted to AAAI 2021. Code: https://github.com/cyq373/SSD-GAN 

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Fast and Robust Bin-picking System for Densely Piled Industrial Objects


Dec 04, 2020
Jiaxin Guo, Lian Fu, Mingkai Jia, Kaijun Wang, Shan Liu


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Unsupervised Point Cloud Registration via Salient Points Analysis (SPA)


Sep 02, 2020
Pranav Kadam, Min Zhang, Shan Liu, C. -C. Jay Kuo

* 7 pages, 5 figures, final version is accepted by IEEE International Conference on Visual Communications and Image Processing (VCIP) 2020 

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Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation


Sep 02, 2020
Min Zhang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 7 pages, 2 figures, the final version is accepted by VCIP 2020 

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Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation


Aug 27, 2020
Yurui Ren, Ge Li, Shan Liu, Thomas H. Li

* arXiv admin note: text overlap with arXiv:2003.00696 

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Toward Zero-Shot Unsupervised Image-to-Image Translation


Jul 28, 2020
Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li


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Learning Model-Blind Temporal Denoisers without Ground Truths


Jul 07, 2020
Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han

* 17 pages, 6 figures 

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AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN


May 12, 2020
Zewang Zhang, Qiao Tian, Heng Lu, Ling-Hui Chen, Shan Liu

* Submitted to InterSpeech 2020 

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PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification


Feb 09, 2020
Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 4pages, 4 figures 

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RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection


Nov 08, 2019
Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas Li, Ge Li


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C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network


Oct 30, 2019
Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li, Zhiqiang Bai


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Multi-mapping Image-to-Image Translation via Learning Disentanglement


Sep 17, 2019
Xiaoming Yu, Yuanqi Chen, Thomas Li, Shan Liu, Ge Li

* Accepted by NeurIPS 2019. Code will be available at https://github.com/Xiaoming-Yu/DMIT 

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StructureFlow: Image Inpainting via Structure-aware Appearance Flow


Aug 11, 2019
Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li


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PointHop: An Explainable Machine Learning Method for Point Cloud Classification


Jul 30, 2019
Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

* 13 pages with 9 figures 

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Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds


Apr 18, 2019
Wei Yan, Yiting shao, Shan Liu, Thomas H Li, Zhu Li, Ge Li


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Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection


Mar 18, 2019
Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li

* To appear in CVPR 2019 

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BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization


Nov 12, 2018
Weijie Kong, Nannan Li, Shan Liu, Thomas Li, Ge Li


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