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ORCIDShan Liu 0001
Person information
- affiliation: Tencent Inc., Palo Alto, CA, USA
Other persons with the same name
- Shan Liu — disambiguation page
- Shan Liu 0002
![[0000-0002-8040-0367]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8040-0367")
— University of Electronic Science and Technology of China, School of Automation, School of Automation,Chengdu, China - Shan Liu 0003 — Communication University of China, School of Information Engineering, Beijing, China
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2020 – today
- 2024
[j60]Yang Sui, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Bo Yuan, Zhenzhong Chen:
Corner-to-Center long-range context model for efficient learned image compression. J. Vis. Commun. Image Represent. 98: 103990 (2024)- [j59]Yiting Shao, Wei Gao, Shan Liu, Ge Li:
Advanced Patch-Based Affine Motion Estimation for Dynamic Point Cloud Geometry Compression. Sensors 24(10): 3142 (2024) - [j58]Ding Ding, Zhenzhong Chen, Zizheng Liu, Xiaozhong Xu, Shan Liu:
Hierarchical Image Feature Compression for Machines via Feature Sparsity Learning. IEEE Signal Process. Lett. 31: 1159-1163 (2024) - [j57]Dong Liu, Shan Liu, João Ascenso, Dong Tian, Lu Yu:
Guest Editorial Special Section on Recent Standardization Efforts for Learning-Based Visual Data Coding. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3063-3066 (2024) - [j56]Jianghao Jia, Yuantong Zhang, Han Zhu, Zhenzhong Chen, Zizheng Liu, Xiaozhong Xu, Shan Liu:
Deep Reference Frame Generation Method for VVC Inter Prediction Enhancement. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3111-3124 (2024) - [j55]Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu:
GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network. IEEE Trans. Vis. Comput. Graph. 30(8): 4955-4967 (2024) - [c165]Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li:
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation. AAAI 2024: 4397-4405 - [c164]Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Transferable Learned Image Compression-Resistant Adversarial Perturbations. DCC 2024: 582 - [c163]Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations. DCC 2024: 583 - [c162]Bingyang Cui, Qi Yang, Kaifa Yang, Yiling Xu, Xiaozhong Xu, Shan Liu:
SJTU-TMQA: A Quality Assessment Database for Static Mesh with Texture Map. ICASSP 2024: 7875-7879 - [c161]Jiangwei Deng, Yuhao An, Thomas H. Li, Shan Liu, Ge Li:
ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation. ICASSP 2024: 8386-8390 - [c160]Jingyun Liu, Han Zhu, Zhenzhong Chen, Shan Liu:
Mutual Guidance Distillation for Joint Demosaicking and Denoising of Raw Images. PCS 2024: 1-5 - [c159]Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Xin Zhao, Shan Liu:
Adaptive Online Learning of Separable Path Graph Transforms for Intra-Prediction. PCS 2024: 1-5 - [c158]Haiqiang Wang, Xin Zhao, Ding Ding, Xiang Pan, Zizheng Liu, Xiaozhong Xu, Shan Liu:
Improvements of the BD-Rate Metrics Using Monotonic Curve-Fitting Methods. PCS 2024: 1-5 - [i63]Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Transferable Learned Image Compression-Resistant Adversarial Perturbations. CoRR abs/2401.03115 (2024) - [i62]Ziyu Shan, Yujie Zhang, Qi Yang, Haichen Yang, Yiling Xu, Shan Liu:
PAME: Self-Supervised Masked Autoencoder for No-Reference Point Cloud Quality Assessment. CoRR abs/2403.10061 (2024) - [i61]Ziyu Shan, Yujie Zhang, Qi Yang, Haichen Yang, Yiling Xu, Jenq-Neng Hwang, Xiaozhong Xu, Shan Liu:
Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment. CoRR abs/2403.10066 (2024) - [i60]Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jian Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu:
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. CoRR abs/2404.11313 (2024) - [i59]Marcos V. Conde, Saman Zadtootaghaj, Nabajeet Barman, Radu Timofte, Chenlong He, Qi Zheng, Ruoxi Zhu, Zhengzhong Tu, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Zicheng Zhang, Haoning Wu, Yingjie Zhou, Chunyi Li, Xiaohong Liu, Weisi Lin, Guangtao Zhai, Wei Sun, Yuqin Cao, Yanwei Jiang, Jun Jia, Zhichao Zhang, Zijian Chen, Weixia Zhang, Xiongkuo Min, Steve Göring, Zihao Qi, Chen Feng:
AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. CoRR abs/2404.16205 (2024) - [i58]Weijie Bao, Yuantong Zhang, Jianghao Jia, Zhenzhong Chen, Shan Liu:
Joint Reference Frame Synthesis and Post Filter Enhancement for Versatile Video Coding. CoRR abs/2404.18058 (2024) - [i57]Yujie Zhang, Qi Yang, Yiling Xu, Shan Liu:
Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy. CoRR abs/2407.03885 (2024) - [i56]Shan Liu, Chaohui Yu, Chenjie Cao, Wen Qian, Fan Wang:
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing. CoRR abs/2407.04461 (2024) - 2023
- [j54]Han Zhu, Zhenzhong Chen, Shan Liu:
Learning knowledge representation with meta knowledge distillation for single image super-resolution. J. Vis. Commun. Image Represent. 95: 103874 (2023) - [j53]Zhihao Hu, Dong Xu, Guo Lu, Wei Jiang, Wei Wang, Shan Liu:
FVC: An End-to-End Framework Towards Deep Video Compression in Feature Space. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4569-4585 (2023) - [j52]Fei Song, Ge Li, Xiaodong Yang, Wei Gao, Shan Liu:
Block-Adaptive Point Cloud Attribute Coding With Region-Aware Optimized Transform. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4294-4308 (2023) - [j51]Yiting Shao, Ge Li, Qi Zhang, Wei Gao, Shan Liu:
Nonrigid Registration-Based Progressive Motion Compensation for Point Cloud Geometry Compression. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j50]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Plenoptic Point Cloud Compression Using Multiview Extension of High Efficiency Video Coding. IEEE Trans. Multim. 25: 2007-2021 (2023) - [j49]Zhuangzi Li, Ge Li, Thomas H. Li, Shan Liu, Wei Gao:
Semantic Point Cloud Upsampling. IEEE Trans. Multim. 25: 3432-3442 (2023) - [j48]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Frame-Level Rate Control for Geometry-Based LiDAR Point Cloud Compression. IEEE Trans. Multim. 25: 3855-3867 (2023) - [j47]Yangfan Sun, Li Li, Zhu Li, Shizheng Wang, Shan Liu, Ge Li:
Learning a Compact Spatial-Angular Representation for Light Field. IEEE Trans. Multim. 25: 7262-7273 (2023) - [c157]Chao Zhang, Jiaoyang Yin, Yiling Xu, Hao Chen, Xiaozhong Xu, Shan Liu:
OLNC: Online Learning of Network Conditions for Adaptive Video Streaming. BMSB 2023: 1-6 - [c156]Haozheng Yu, Lu He, Bing Jian, Weiwei Feng, Shan Liu:
PanelNet: Understanding 360 Indoor Environment via Panel Representation. CVPR 2023: 878-887 - [c155]Rui Song, Chunyang Fu, Shan Liu, Ge Li:
Efficient Hierarchical Entropy Model for Learned Point Cloud Compression. CVPR 2023: 14368-14377 - [c154]Chunyang Fu, Xiang Zhang, Thuong Nguyen-Canh, Xiaozhong Xu, Ge Li, Shan Liu:
Surface-Sampling Based Objective Quality Assessment Metrics for Meshes. ICASSP 2023: 1-5 - [c153]Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo:
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. ICASSP 2023: 1-5 - [c152]Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
GPCGC: A Green Point Cloud Geometry Coding Method. ICIP 2023: 480-484 - [c151]Zhengyu Wang, Yujie Zhang, Qi Yang, Yiling Xu, Yifei Zhou, Jun Sun, Shan Liu:
Improving Point Cloud Quality Metrics with Noticeable Possibility Maps. ICME 2023: 360-365 - [c150]Rui Song, Chunyang Fu, Shan Liu, Ge Li:
Large-Scale Spatio-Temporal Attention Based Entropy Model for Point Cloud Compression. ICME 2023: 2003-2008 - [c149]Kaifa Yang, Qi Yang, Joel Jung, Yiling Xu, Xiaozhong Xu, Shan Liu:
Exploring the Influence of View and Camera Path Selection for Dynamic Mesh Quality Assessment. ICME 2023: 2489-2494 - [c148]Madhu Peringassery Krishnan, Xin Zhao, Shan Liu:
Adaptive Probability Estimation Techniques for Context Adaptive Arithmetic Coding. ISCAS 2023: 1-5 - [c147]Jing Ye, Liang Zhao, Xin Zhao, Shan Liu:
Improved Chroma From Luma Intra Prediction Mode Beyond AV1. ISCAS 2023: 1-5 - [c146]Xiaodong Yang, Yiting Shao, Shan Liu, Thomas H. Li, Ge Li:
PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds. ACM Multimedia 2023: 9271-9281 - [c145]Weijie Bao, Jianghao Jia, Wenhui Meng, Zizheng Liu, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Towards Deep Reference Frame in Versatile Video Coding NNVC. VCIP 2023: 1-5 - [c144]Thuong Nguyen-Canh, Fang-Yi Chao, Chao Huang, Xiaozhong Xu, Shan Liu:
Symmetric Geometry Coding for Static Meshes. VCIP 2023: 1-5 - [c143]Xiang Pan, Ding Ding, Liqiang Wang, Xiaozhong Xu, Shan Liu:
Low-complexity Transform Network Architecture for JPEG AI Image Codec. VCIP 2023: 1-5 - [c142]Zhengyu Wang, Yujie Zhang, Qi Yang, Yiling Xu, Jun Sun, Shan Liu:
Point Cloud Quality Assessment using 3D Saliency Maps. VCIP 2023: 1-5 - [c141]Xiaozhong Xu, Ningjun Dou, Guiquan Feng, Hongbin Li, Wen Gao, Xinhui Chen, Shan Liu:
Immersive experience via 6DoF adaptive streaming. VCIP 2023: 1 - [c140]Qi Yang, Joel Jung, Haiqiang Wang, Xiaozhong Xu, Shan Liu:
TSMD: A Database for Static Color Mesh Quality Assessment Study. VCIP 2023: 1-5 - [c139]Liang Zhao, Xin Zhao, Jing Ye, Han Gao, Shan Liu:
Content Adaptive Weighted Prediction for Video Coding Beyond AV1. VCIP 2023: 1-4 - [c138]Wenjie Zhu, Xiaozhong Xu, Wen Gao, Shan Liu:
An Adaptive Predictive Tree for Point Cloud Geometry Compression. VCIP 2023: 1-5 - [i55]Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo:
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. CoRR abs/2302.11506 (2023) - [i54]Pranav Kadam, Jiahao Gu, Shan Liu, C.-C. Jay Kuo:
PointFlowHop: Green and Interpretable Scene Flow Estimation from Consecutive Point Clouds. CoRR abs/2302.14193 (2023) - [i53]Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo:
A Tiny Machine Learning Model for Point Cloud Object Classification. CoRR abs/2303.10898 (2023) - [i52]Haozheng Yu, Lu He, Bing Jian, Weiwei Feng, Shan Liu:
PanelNet: Understanding 360 Indoor Environment via Panel Representation. CoRR abs/2305.09078 (2023) - [i51]Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Reconstruction Distortion of Learned Image Compression with Imperceptible Perturbations. CoRR abs/2306.01125 (2023) - [i50]Qi Yang, Joel Jung, Timon Deschamps, Xiaozhong Xu, Shan Liu:
TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations. CoRR abs/2308.01499 (2023) - [i49]Qi Yang, Joel Jung, Haiqiang Wang, Xiaozhong Xu, Shan Liu:
TSMD: A Database for Static Color Mesh Quality Assessment Study. CoRR abs/2308.01940 (2023) - [i48]Qi Yang, Joel Jung, Xiaozhong Xu, Shan Liu:
GeodesicPSIM: Predicting the Quality of Static Mesh with Texture Map via Geodesic Patch Similarity. CoRR abs/2308.04928 (2023) - [i47]Huairui Wang, Nianxiang Fu, Zhenzhong Chen, Shan Liu:
Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression. CoRR abs/2308.08723 (2023) - [i46]Bingyang Cui, Qi Yang, Kaifa Yang, Yiling Xu, Xiaozhong Xu, Shan Liu:
SJTU-TMQA: A quality assessment database for static mesh with texture map. CoRR abs/2309.15675 (2023) - [i45]Yang Sui, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Bo Yuan, Zhenzhong Chen:
Corner-to-Center Long-range Context Model for Efficient Learned Image Compression. CoRR abs/2311.18103 (2023) - [i44]Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li:
Adaptive Annotation Distribution for Weakly Supervised Point Cloud Semantic Segmentation. CoRR abs/2312.06259 (2023) - 2022
- [j46]Yuanqi Chen, Xiaoming Yu, Shan Liu, Wei Gao, Ge Li:
Zero-shot unsupervised image-to-image translation via exploiting semantic attributes. Image Vis. Comput. 124: 104489 (2022) - [j45]Yuhang Zhang, Zhenzhong Chen, Shan Liu:
A multi-stage spatio-temporal adaptive network for video super-resolution. J. Vis. Commun. Image Represent. 87: 103555 (2022) - [j44]Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds. Pattern Recognit. Lett. 164: 9-15 (2022) - [j43]Jingjia Huang, Wei Yan, Ge Li, Thomas H. Li, Shan Liu:
Learning Disentangled Representation for Multi-View 3D Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(2): 646-659 (2022) - [j42]Xiaozhong Xu, Shan Liu:
Overview of Screen Content Coding in Recently Developed Video Coding Standards. IEEE Trans. Circuits Syst. Video Technol. 32(2): 839-852 (2022) - [j41]Heiner Kirchhoffer, Paul Haase, Wojciech Samek, Karsten Müller, Hamed Rezazadegan Tavakoli, Francesco Cricri, Emre B. Aksu, Miska M. Hannuksela, Wei Jiang, Wei Wang, Shan Liu, Swayambhoo Jain, Shahab Hamidi-Rad, Fabien Racapé, Werner Bailer:
Overview of the Neural Network Compression and Representation (NNR) Standard. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3203-3216 (2022) - [j40]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method. IEEE Trans. Image Process. 31: 2710-2725 (2022) - [j39]Jingjia Huang, Wei Yan, Thomas H. Li, Shan Liu, Ge Li:
Learning the Global Descriptor for 3-D Object Recognition Based on Multiple Views Decomposition. IEEE Trans. Multim. 24: 188-201 (2022) - [j38]Wei Jia, Li Li, Anique Akhtar, Zhu Li, Shan Liu:
Convolutional Neural Network-Based Occupancy Map Accuracy Improvement for Video-Based Point Cloud Compression. IEEE Trans. Multim. 24: 2352-2365 (2022) - [j37]Anique Akhtar, Wen Gao, Li Li, Zhu Li, Wei Jia, Shan Liu:
Video-Based Point Cloud Compression Artifact Removal. IEEE Trans. Multim. 24: 2866-2876 (2022) - [j36]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Motion Estimation and Coding Structure for Inter-Prediction of LiDAR Point Cloud Geometry. IEEE Trans. Multim. 24: 4504-4513 (2022) - [c137]Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu:
OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression. AAAI 2022: 625-633 - [c136]Xiangguang Chen, Ye Zhu, Yu Li, Bingtao Fu, Lei Sun, Ying Shan, Shan Liu:
Robust Human Matting via Semantic Guidance. ACCV (2) 2022: 613-628 - [c135]Wei Jiang, Wei Wang, Songnan Li, Shan Liu:
Online Meta Adaptation for Variable-Rate Learned Image Compression. CVPR Workshops 2022: 497-505 - [c134]Lu He, Bing Jian, Yangming Wen, Haichao Zhu, Kelin Liu, Weiwei Feng, Shan Liu:
Rethinking Supervised Depth Estimation for 360° Panoramic Imagery. CVPR Workshops 2022: 5169-5177 - [c133]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction. CVPR 2022: 5911-5920 - [c132]Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu:
LSVC: A Learning-based Stereo Video Compression Framework. CVPR 2022: 6063-6072 - [c131]Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li:
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. CVPR 2022: 13525-13534 - [c130]Mengshu Sun, Sheng Lin, Shan Liu, Songnan Li, Yanzhi Wang, Wei Jiang, Wei Wang:
Hardware-Friendly Acceleration for Deep Neural Networks with Micro-Structured Compression. FCCM 2022: 1 - [c129]Rong Bao, Yurui Ren, Ge Li, Wei Gao, Shan Liu:
Flow-Based Point Cloud Completion Network with Adversarial Refinement. ICASSP 2022: 2559-2563 - [c128]Yanghao Li, Xinyao Chen, Jisheng Li, Jiangtao Wen, Yuxing Han, Shan Liu, Xiaozhong Xu:
Rate Control for Learned Video Compression. ICASSP 2022: 2829-2833 - [c127]Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. ICIP 2022: 1596-1600 - [c126]Liang Zhao, Xin Zhao, Shan Liu:
Advanced Motion Vector Difference Coding Beyond AV1. ICIP 2022: 3631-3635 - [c125]Wen Gao, Xiaozhong Xu, Matthew Qin, Shan Liu:
An Open Dataset for Video Coding for Machines Standardization. ICIP 2022: 4008-4012 - [c124]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. ICME Workshops 2022: 1-4 - [c123]Liqiang Wang, Xiaozhong Xu, Shan Liu:
Neural Network Based in-Loop Filter with Constrained Memory. ICME 2022: 1-6 - [c122]Wei Gao, Ge Li, Hui Yuan, Raouf Hamzaoui, Zhu Li, Shan Liu:
APCCPA '22: 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis. ACM Multimedia 2022: 7392-7393 - [c121]Lizhi Hou, Linyao Gao, Yiling Xu, Zhu Li, Xiaozhong Xu, Shan Liu:
Learning-based Intra-Prediction For Point Cloud Attribute Transform Coding. MMSP 2022: 1-6 - [c120]Pranav Kadam, Min Zhang, Jiahao Gu, Shan Liu, C.-C. Jay Kuo:
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method. MMSP 2022: 1-6 - [c119]Xiao Wang, Ding Ding, Wei Jiang, Wei Wang, Xiaozhong Xu, Shan Liu, Brian Kulis, Peter Chin:
Substitutional Neural Image Compression. PCS 2022: 97-101 - [c118]Chao Huang, Xiang Zhang, Jun Tian, Xiaozhong Xu, Shan Liu:
Boundary-Preserved Geometry Video for Dynamic Mesh Coding. PCS 2022: 133-137 - [c117]Wei Kuang, Xiang Li, Xin Zhao, Shan Liu:
Unified Fast Partitioning Algorithm for Intra and Inter Predictions in Versatile Video Coding. PCS 2022: 271-275 - [c116]Yingbin Wang, Xin Zhao, Xiaozhong Xu, Shan Liu, Zhijun Lei, Mariana Afonso, Andrey Norkin, Thomas Daede:
An Open Video Dataset For Screen Content Coding. PCS 2022: 301-305 - [c115]Liqiang Wang, Xiaozhong Xu, Shan Liu:
Optimize neural network based in-loop filters through iterative training. PCS 2022: 367-371 - [c114]Yuhao An, Yiting Shao, Ge Li, Wei Gao, Shan Liu:
A Fast Motion Estimation Method With Hamming Distance for LiDAR Point Cloud Compression. VCIP 2022: 1-5 - [c113]Jianghao Jia, Zizheng Liu, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Deep Reference Frame Interpolation based Inter Prediction Enhancement for Versatile Video Coding. VCIP 2022: 1-5 - [c112]Wei Wo, Yingxue Zhang, Yaosi Hu, Zhenzhong Chen, Shan Liu:
Video Quality Assessment based on Quality Aggregation Networks. VCIP 2022: 1-5 - [c111]Kao Zhang, Yan Shang, Songnan Li, Shan Liu, Zhenzhong Chen:
SalCrop: Spatio-temporal Saliency Based Video Cropping. VCIP 2022: 1 - [i43]Chunyang Fu, Ge Li, Rui Song, Wei Gao, Shan Liu:
OctAttention: Octree-based Large-scale Contexts Model for Point Cloud Compression. CoRR abs/2202.06028 (2022) - [i42]Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. CoRR abs/2202.07843 (2022) - [i41]Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li:
Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. CoRR abs/2204.06160 (2022) - [i40]Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu:
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction. CoRR abs/2206.07460 (2022) - [i39]Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang:
FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate. CoRR abs/2207.04090 (2022) - [i38]Han Zhu, Zhenzhong Chen, Shan Liu:
Learning Knowledge Representation with Meta Knowledge Distillation for Single Image Super-Resolution. CoRR abs/2207.08356 (2022) - [i37]Zhengyu Wang, Yujie Zhang, Qi Yang, Yiling Xu, Jun Sun, Shan Liu:
Point Cloud Quality Assessment using 3D Saliency Maps. CoRR abs/2209.15475 (2022) - [i36]Xiangguang Chen, Ye Zhu, Yu Li, Bingtao Fu, Lei Sun, Ying Shan, Shan Liu:
Robust Human Matting via Semantic Guidance. CoRR abs/2210.05210 (2022) - [i35]Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu:
GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network. CoRR abs/2210.16478 (2022) - 2021
- [j35]Wei Jia, Li Li, Zhu Li, Shan Liu:
Deep Learning Geometry Compression Artifacts Removal for Video-Based Point Cloud Compression. Int. J. Comput. Vis. 129(11): 2947-2964 (2021) - [j34]Wei Wu, Qinyao Li, Zhenzhong Chen, Shan Liu:
Semantic Information Oriented No-Reference Video Quality Assessment. IEEE Signal Process. Lett. 28: 204-208 (2021) - [j33]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Occupancy-Map-Based Rate Distortion Optimization and Partition for Video-Based Point Cloud Compression. IEEE Trans. Circuits Syst. Video Technol. 31(1): 326-338 (2021) - [j32]Zhaobin Zhang, Xin Zhao,