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Shan Liu 0001
Person information
- affiliation: Tencent Inc., Palo Alto, CA, USA
Other persons with the same name
- Shan Liu — disambiguation page
- Shan Liu 0002 — 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, Department of Intelligent Science, Beijing, China
- Shan Liu 0004 — Xi'an Jiaotong University, School of Management, System Behavior and Management Laboratory, China (and 1 more)
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2020 – today
- 2025
- [j64]Qi Yang, Joel Jung, Xiaozhong Xu, Shan Liu:
GeodesicPSIM: Predicting the Quality of Static Mesh With Texture Map via Geodesic Patch Similarity. IEEE Trans. Image Process. 34: 44-59 (2025) - 2024
- [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]Yiting Shao, Xiaodong Yang, Wei Gao, Shan Liu, Ge Li:
3D Point Cloud Attribute Compression Using Diffusion-Based Texture-Aware Intra Prediction. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9633-9646 (2024) - [j57]Junxi Zhang, Zhenzhong Chen, Shan Liu:
Remote Sensing Image Coding for Machines on Semantic Segmentation via Contrastive Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j56]Yujie Zhang, Qi Yang, Yiling Xu, Shan Liu:
Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy. IEEE Trans. Image Process. 33: 5755-5770 (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) - [c173]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 - [c172]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. CVPR Workshops 2024: 5826-5837 - [c171]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, JianHui 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. CVPR Workshops 2024: 6415-6431 - [c170]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. CVPR 2024: 25942-25951 - [c169]Zhe Zhang, Huairui Wang, Zhenzhong Chen, Shan Liu:
Learned Lossless Image Compression Based on Bit Plane Slicing. CVPR 2024: 27569-27578 - [c168]Yang Sui, Zhuohang Li, Ding Ding, Xiang Pan, Xiaozhong Xu, Shan Liu, Zhenzhong Chen:
Transferable Learned Image Compression-Resistant Adversarial Perturbations. DCC 2024: 582 - [c167]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 - [c166]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 - [c165]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 - [c164]Zhuangzi Li, Shan Liu, Ge Li:
PointELM: Fast Point Cloud Classification Using Deep Random Mapping Based Extreme Learning Machines. ICME 2024: 1-6 - [c163]Qingyang Zhou, Jiawei Yu, Shan Liu, C.-C. Jay Kuo:
GPSR: A Green Point Cloud Surface Reconstruction Method. MIPR 2024: 542-548 - [c162]Jingyun Liu, Han Zhu, Zhenzhong Chen, Shan Liu:
Mutual Guidance Distillation for Joint Demosaicking and Denoising of Raw Images. PCS 2024: 1-5 - [c161]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 - [c160]Zihao Qi, Chen Feng, Duolikun Danier, Fan Zhang, Xiaozhong Xu, Shan Liu, David Bull:
Full-Reference Video Quality Assessment for User Generated Content Transcoding. PCS 2024: 1-5 - [c159]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 - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]Yujie Zhang, Qi Yang, Yiling Xu, Shan Liu:
Perception-Guided Quality Metric of 3D Point Clouds Using Hybrid Strategy. CoRR abs/2407.03885 (2024) - [i59]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) - [i58]Zihao Qi, Chen Feng, Fan Zhang, Xiaozhong Xu, Shan Liu, David R. Bull:
BVI-UGC: A Video Quality Database for User-Generated Content Transcoding. CoRR abs/2408.07171 (2024) - [i57]Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu:
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. CoRR abs/2408.11982 (2024) - [i56]Zhiyi Pan, Wei Gao, Shan Liu, Ge Li:
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation. CoRR abs/2410.08091 (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) - [c158]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 - [c157]Haozheng Yu, Lu He, Bing Jian, Weiwei Feng, Shan Liu:
PanelNet: Understanding 360 Indoor Environment via Panel Representation. CVPR 2023: 878-887 - [c156]Rui Song, Chunyang Fu, Shan Liu, Ge Li:
Efficient Hierarchical Entropy Model for Learned Point Cloud Compression. CVPR 2023: 14368-14377 - [c155]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 - [c154]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 - [c153]Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
GPCGC: A Green Point Cloud Geometry Coding Method. ICIP 2023: 480-484 - [c152]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 - [c151]Rui Song, Chunyang Fu, Shan Liu, Ge Li:
Large-Scale Spatio-Temporal Attention Based Entropy Model for Point Cloud Compression. ICME 2023: 2003-2008 - [c150]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 - [c149]Madhu Peringassery Krishnan, Xin Zhao, Shan Liu:
Adaptive Probability Estimation Techniques for Context Adaptive Arithmetic Coding. ISCAS 2023: 1-5 - [c148]Jing Ye, Liang Zhao, Xin Zhao, Shan Liu:
Improved Chroma From Luma Intra Prediction Mode Beyond AV1. ISCAS 2023: 1-5 - [c147]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 - [c146]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 - [c145]Thuong Nguyen-Canh, Fang-Yi Chao, Chao Huang, Xiaozhong Xu, Shan Liu:
Symmetric Geometry Coding for Static Meshes. VCIP 2023: 1-5 - [c144]Xiang Pan, Ding Ding, Liqiang Wang, Xiaozhong Xu, Shan Liu:
Low-complexity Transform Network Architecture for JPEG AI Image Codec. VCIP 2023: 1-5 - [c143]Zhengyu Wang, Yujie Zhang, Qi Yang, Yiling Xu, Jun Sun, Shan Liu:
Point Cloud Quality Assessment using 3D Saliency Maps. VCIP 2023: 1-5 - [c142]Xiaozhong Xu, Ningjun Dou, Guiquan Feng, Hongbin Li, Wen Gao, Xinhui Chen, Shan Liu:
Immersive experience via 6DoF adaptive streaming. VCIP 2023: 1 - [c141]Qi Yang, Joel Jung, Haiqiang Wang, Xiaozhong Xu, Shan Liu:
TSMD: A Database for Static Color Mesh Quality Assessment Study. VCIP 2023: 1-5 - [c140]Liang Zhao, Xin Zhao, Jing Ye, Han Gao, Shan Liu:
Content Adaptive Weighted Prediction for Video Coding Beyond AV1. VCIP 2023: 1-4 - [c139]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) - [c138]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 - [c137]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 - [c136]Wei Jiang, Wei Wang, Songnan Li, Shan Liu:
Online Meta Adaptation for Variable-Rate Learned Image Compression. CVPR Workshops 2022: 497-505 - [c135]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 - [c134]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 - [c133]Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu:
LSVC: A Learning-based Stereo Video Compression Framework. CVPR 2022: 6063-6072 - [c132]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 - [c131]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 - [c130]Rong Bao, Yurui Ren, Ge Li, Wei Gao, Shan Liu:
Flow-Based Point Cloud Completion Network with Adversarial Refinement. ICASSP 2022: 2559-2563 - [c129]Yanghao Li, Xinyao Chen, Jisheng Li, Jiangtao Wen, Yuxing Han, Shan Liu, Xiaozhong Xu:
Rate Control for Learned Video Compression. ICASSP 2022: 2829-2833 - [c128]Pranav Kadam, Qingyang Zhou, Shan Liu, C.-C. Jay Kuo:
PCRP: Unsupervised Point Cloud Object Retrieval and Pose Estimation. ICIP 2022: 1596-1600 - [c127]Liang Zhao, Xin Zhao, Shan Liu:
Advanced Motion Vector Difference Coding Beyond AV1. ICIP 2022: 3631-3635 - [c126]Wen Gao, Xiaozhong Xu, Matthew Qin, Shan Liu:
An Open Dataset for Video Coding for Machines Standardization. ICIP 2022: 4008-4012 - [c125]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 - [c124]Liqiang Wang, Xiaozhong Xu, Shan Liu:
Neural Network Based in-Loop Filter with Constrained Memory. ICME 2022: 1-6 - [c123]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 - [c122]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 - [c121]Pranav Kadam, Min Zhang, Jiahao Gu, Shan Liu, C.-C. Jay Kuo:
GreenPCO: An Unsupervised Lightweight Point Cloud Odometry Method. MMSP 2022: 1-6 - [c120]Xiao Wang, Ding Ding, Wei Jiang, Wei Wang, Xiaozhong Xu, Shan Liu, Brian Kulis, Peter Chin:
Substitutional Neural Image Compression. PCS 2022: 97-101 - [c119]Chao Huang, Xiang Zhang, Jun Tian, Xiaozhong Xu, Shan Liu:
Boundary-Preserved Geometry Video for Dynamic Mesh Coding. PCS 2022: 133-137 - [c118]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 - [c117]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 - [c116]Liqiang Wang, Xiaozhong Xu, Shan Liu:
Optimize neural network based in-loop filters through iterative training. PCS 2022: 367-371 - [c115]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 - [c114]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 - [c113]Wei Wo, Yingxue Zhang, Yaosi Hu, Zhenzhong Chen, Shan Liu:
Video Quality Assessment based on Quality Aggregation Networks. VCIP 2022: 1-5 - [c112]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, Xiang Li, Li Li, Yi Luo, Shan Liu, Zhu Li:
Fast DST-VII/DCT-VIII With Dual Implementation Support for Versatile Video Coding. IEEE Trans. Circuits Syst. Video Technol. 31(1): 355-371 (2021) - [j31]Jill M. Boyce, Jianle Chen, Shan Liu, Jens-Rainer Ohm, Gary J. Sullivan, Thomas Wiegand, Yan Ye, Wenwu Zhu:
Guest Editorial Introduction to the Special Section on the VVC Standard. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3731-3735 (2021) - [j30]Benjamin Bross, Ye-Kui Wang, Yan Ye, Shan Liu, Jianle Chen, Gary J. Sullivan, Jens-Rainer Ohm:
Overview of the Versatile Video Coding (VVC) Standard and its Applications. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3736-3764 (2021) - [j29]Frank Bossen, Karsten Sühring, Adam Wieckowski, Shan Liu:
VVC Complexity and Software Implementation Analysis. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3765-3778 (2021) - [j28]Tung Nguyen, Xiaozhong Xu, Félix Henry, Ru-Ling Liao, Mohammed Golam Sarwer, Marta Karczewicz, Yung-Hsuan Chao, Jizheng Xu, Shan Liu, Detlev Marpe, Gary J. Sullivan:
Overview of the Screen Content Support in VVC: Applications, Coding Tools, and Performance. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3801-3817 (2021) - [j27]Jonathan Pfaff, Alexey Filippov, Shan Liu, Xin Zhao, Jianle Chen, Santiago De-Luxán-Hernández, Thomas Wiegand, Vasily Rufitskiy, Adarsh K. Ramasubramonian, Geert Van Der Auwera:
Intra Prediction and Mode Coding in VVC. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3834-3847 (2021) - [j26]Xin Zhao, Seung-Hwan Kim, Yin Zhao, Hilmi E. Egilmez, Moonmo Koo, Shan Liu, Jani Lainema, Marta Karczewicz:
Transform Coding in the VVC Standard. IEEE Trans. Circuits Syst. Video Technol. 31(10): 3878-3890 (2021) - [j25]Zhu Li, Shan Liu, Frédéric Dufaux, Li Li, Ge Li, C.-C. Jay Kuo:
Guest Editorial Introduction to the Special Issue on Recent Advances in Point Cloud Processing and Compression. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4555-4560 (2021) - [j24]Qi Cai, Zhifeng Chen, Dapeng Oliver Wu, Shan Liu, Xiang Li:
A Novel Video Coding Strategy in HEVC for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4924-4937 (2021) - [j23]Kao Zhang, Zhenzhong Chen, Shan Liu:
A Spatial-Temporal Recurrent Neural Network for Video Saliency Prediction. IEEE Trans. Image Process. 30: 572-587 (2021) - [j22]Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Bernard Ghanem, Wen Gao, C.-C. Jay Kuo:
Shape-Preserving Stereo Object Remapping via Object-Consistent Grid Warping. IEEE Trans. Image Process. 30: 5889-5904 (2021) - [j21]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Efficient Projected Frame Padding for Video-Based Point Cloud Compression. IEEE Trans. Multim. 23: 2806-2819 (2021) - [j20]Wei Jia, Li Li, Zhu Li, Xiang Zhang, Shan Liu:
Residual-guided In-loop Filter Using Convolution Neural Network. ACM Trans. Multim. Comput. Commun. Appl. 17(4): 139:1-139:19 (2021) - [c111]Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li:
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. AAAI 2021: 1105-1112 - [c110]Wei Jiang, Wei Wang, Shan Liu, Songnan Li:
PNG: Micro-Structured Prune-and-Grow Networks for Flexible Image Restoration. CVPR Workshops 2021: 756-765 - [c109]Yize Jin, Liang Zhao, Xin Zhao, Shan Liu, Alan C. Bovik:
Improved Intra Mode Coding Beyond Av1. ICASSP 2021: 1580-1584 - [c108]Yanghao Li, Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han:
Learning Model-Blind Temporal Denoisers without Ground Truths. ICASSP 2021: 2055-2059 - [c107]Junming Chen, Haiqiang Wang, Ge Li, Shan Liu:
Nested Error Map Generation Network for No-Reference Image Quality Assessment. ICASSP 2021: 2080-2084 - [c106]Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Junsong Yuan, Bernard Ghanem, C.-C. Jay Kuo:
High Quality Disparity Remapping with Two-Stage Warping. ICCV 2021: 2249-2258 - [c105]Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu:
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. ICCV 2021: 13739-13748 - [c104]Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li:
Structure-transformed Texture-enhanced Network for Person Image Synthesis. ICCV 2021: 13839-13848 - [c103]Samruddhi Kahu, Madhu Peringassery Krishnan, Xin Zhao, Shan Liu:
Context-Adaptive Secondary Transform For Video Coding. ICIP 2021: 2039-2043 - [c102]Liang Zhao, Xin Zhao, Shan Liu:
Semi-Decoupled Partitioning for Video Coding Beyond AV1. ICIP 2021: 3443-3447 - [c101]Junming Chen, Haiqiang Wang, Munan Xu, Ge Li, Shan Liu:
Deep Neural Networks for End-to-End Spatiotemporal Video Quality Prediction and Aggregation. ICME 2021: 1-6 - [c100]Yicheng Wang, Jiayong Peng, Yueyi Zhang, Shan Liu, Xiaoyan Sun, Zhiwei Xiong:
Asymmetric Stereo Color Transfer. ICME 2021: 1-6 - [c99]Liqiang Wang, Xiaozhong Xu, Shan Liu:
Enhanced Implicit Selection of Transform Skip in AVS3. ICME 2021: 1-6 - [c98]Yingbin Wang, Xiaozhong Xu, Shan Liu:
Low Complexity Implementation Of Intra String Copy In Avs3. ICME Workshops 2021: 1-4 - [c97]Xin Zhao, Liang Zhao, Madhu Peringassery Krishnan, Yixin Du, Shan Liu, Debargha Mukherjee, Yaowu Xu, Adrian Grange:
Study On Coding Tools Beyond AV1. ICME 2021: 1-6 - [c96]Bin Zhu, Shan Liu, Yuan Liu, Yi Luo, Jing Ye, Haiyan Xu, Ying Huang, Hualong Jiao, Xiaozhong Xu, Xianguo Zhang, Chenchen Gu:
A Real-Time H.266/VVC Software Decoder. ICME 2021: 1-6 - [c95]Zhuangzi Li, Ge Li, Thomas H. Li, Shan Liu, Wei Gao:
Information-Growth Attention Network for Image Super-Resolution. ACM Multimedia 2021: 544-552 - [c94]Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li:
Combining Attention with Flow for Person Image Synthesis. ACM Multimedia 2021: 3737-3745 - [c93]Guo Lu, Ren Yang, Shenlong Wang, Shan Liu, Radu Timofte:
Deep Learning for Visual Data Compression. ACM Multimedia 2021: 5683-5685 - [c92]Yiming Li, Shan Liu, Yu Chen, Yushan Zheng, Sijia Chen, Bin Zhu, Jian Lou:
An Optimized H.266/VVC Software Decoder On Mobile Platform. PCS 2021: 1-5 - [c91]Xin Zhao, Shan Liu, Xiang Li, Guichun Li, Xiaozhong Xu:
Video Coding Tool Analysis and Dataset for Gaming Content. PCS 2021: 1-5 - [c90]Yingxue Zhang, Zizheng Liu, Zhenzhong Chen, Xiaozhong Xu, Shan Liu:
No-reference Quality Assessment of Panoramic Video based on Spherical-domain Features. PCS 2021: 1-5 - [c89]Qiao Tian, Chao Liu, Zewang Zhang, Heng Lu, Linghui Chen, Bin Wei, Pujiang He, Shan Liu:
FeatherTTS: Robust and Efficient attention based Neural TTS. SSW 2021: 200-204 - [c88]Yixin Du, Xin Zhao, Shan Liu:
Cross-Component Sample Offset for Image and Video Coding. VCIP 2021: 1-5 - [c87]Madhu Peringassery Krishnan, Xin Zhao, Shan Liu:
Multicomponent Secondary Transform. VCIP 2021: 1-4 - [c86]Zizheng Liu, Zhenzhong Chen, Shan Liu:
Two Stage Optimal Bit Allocation for HEVC Hierarchical Coding Structure. VCIP 2021: 1-4 - [c85]Guangjie Ren, Zizheng Liu, Zhenzhong Chen, Shan Liu:
Reinforcement Learning based ROI Bit Allocation for Gaming Video Coding in VVC. VCIP 2021: 1-5 - [c84]Xiaozhong Xu, Shan Liu, Zeqiang Li:
A Video Dataset for Learning-based Visual Data Compression and Analysis. VCIP 2021: 1-4 - [c83]Cong Zou, Xuchen Wang, Yaosi Hu, Zhenzhong Chen, Shan Liu:
MAPS: Joint Multimodal Attention and POS Sequence Generation for Video Captioning. VCIP 2021: 1-5 - [i34]Yiming Li, Shan Liu, Yu Chen, Yushan Zheng, Sijia Chen, Bin Zhu, Jian Lou:
An Optimized H.266/VVC Software Decoder On Mobile Platform. CoRR abs/2103.03612 (2021) - [i33]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
R-PointHop: A Green, Accurate and Unsupervised Point Cloud Registration Method. CoRR abs/2103.08129 (2021) - [i32]Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin:
Substitutional Neural Image Compression. CoRR abs/2105.07512 (2021) - [i31]Wen Gao, Shan Liu, Xiaozhong Xu, Manouchehr Rafie, Yuan Zhang, Igor D. D. Curcio:
Recent Standard Development Activities on Video Coding for Machines. CoRR abs/2105.12653 (2021) - [i30]Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li:
Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression. CoRR abs/2106.08301 (2021) - [i29]Anique Akhtar, Wen Gao, Li Li, Zhu Li, Wei Jia, Shan Liu:
Video-based Point Cloud Compression Artifact Removal. CoRR abs/2107.14179 (2021) - [i28]Yurui Ren, Yubo Wu, Thomas H. Li, Shan Liu, Ge Li:
Combining Attention with Flow for Person Image Synthesis. CoRR abs/2108.01823 (2021) - [i27]Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu:
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. CoRR abs/2109.08379 (2021) - [i26]Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
GSIP: Green Semantic Segmentation of Large-Scale Indoor Point Clouds. CoRR abs/2109.11835 (2021) - [i25]Wei Jiang, Wei Wang, Songnan Li, Shan Liu:
Online Meta Adaptation for Variable-Rate Learned Image Compression. CoRR abs/2111.08256 (2021) - [i24]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
GPCO: An Unsupervised Green Point Cloud Odometry Method. CoRR abs/2112.04054 (2021) - 2020
- [j19]Chunbiao Zhu, Wei Yan, Xing Cai, Shan Liu, Thomas H. Li, Ge Li:
Neural saliency algorithm guide bi-directional visual perception style transfer. CAAI Trans. Intell. Technol. 5(1): 1-8 (2020) - [j18]Kan Huang, Ge Li, Shan Liu:
Learning channel-wise spatio-temporal representations for video salient object detection. Neurocomputing 403: 325-336 (2020) - [j17]Li Li, Ning Yan, Zhu Li, Shan Liu, Houqiang Li:
λ-Domain Perceptual Rate Control for 360-Degree Video Compression. IEEE J. Sel. Top. Signal Process. 14(1): 130-145 (2020) - [j16]Wei Jia, Li Li, Zhu Li, Shuai Zhao, Shan Liu:
Scalable Hash From Triplet Loss Feature Aggregation For Video De-duplication. J. Vis. Commun. Image Represent. 72: 102908 (2020) - [j15]Yan Zhou, Zhenzhong Chen, Shan Liu:
Fast sample adaptive offset algorithm for 360-degree video coding. Signal Process. Image Commun. 80 (2020) - [j14]Benjamin Bross, Kenneth Andersson, Max Bläser, Virginie Drugeon, Seung-Hwan Kim, Jani Lainema, Jingya Li, Shan Liu, Jens-Rainer Ohm, Gary J. Sullivan, Ruoyang Yu:
General Video Coding Technology in Responses to the Joint Call for Proposals on Video Compression With Capability Beyond HEVC. IEEE Trans. Circuits Syst. Video Technol. 30(5): 1226-1240 (2020) - [j13]Dong Liu, Zhenzhong Chen, Shan Liu, Feng Wu:
Deep Learning-Based Technology in Responses to the Joint Call for Proposals on Video Compression With Capability Beyond HEVC. IEEE Trans. Circuits Syst. Video Technol. 30(5): 1267-1280 (2020) - [j12]Shan Liu, Wen-Hsiao Peng, Lu Yu:
Guest Editorial Introduction to Special Section on Learning-Based Image and Video Compression. IEEE Trans. Circuits Syst. Video Technol. 30(7): 1785-1788 (2020) - [j11]Jingjia Huang, Nannan Li, Thomas H. Li, Shan Liu, Ge Li:
Spatial-Temporal Context-Aware Online Action Detection and Prediction. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2650-2662 (2020) - [j10]Bing Li, Chia-Wen Lin, Shan Liu, Tiejun Huang, Wen Gao, C.-C. Jay Kuo:
Perceptual Temporal Incoherence-Guided Stereo Video Retargeting. IEEE Trans. Image Process. 29: 5767-5782 (2020) - [j9]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Rate Control for Video-Based Point Cloud Compression. IEEE Trans. Image Process. 29: 6237-6250 (2020) - [j8]Yurui Ren, Ge Li, Shan Liu, Thomas H. Li:
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation. IEEE Trans. Image Process. 29: 8622-8635 (2020) - [j7]Xinfeng Zhang, Chao Yang, Xiaoguang Li, Shan Liu, Haitao Yang, Ioannis Katsavounidis, Shawmin Lei, C.-C. Jay Kuo:
Image Coding With Data-Driven Transforms: Methodology, Performance and Potential. IEEE Trans. Image Process. 29: 9292-9304 (2020) - [j6]Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
PointHop: An Explainable Machine Learning Method for Point Cloud Classification. IEEE Trans. Multim. 22(7): 1744-1755 (2020) - [c82]Enyu Liu, Songnan Li, Shan Liu:
Color Enhancement Using Global Parameters and Local Features Learning. ACCV (2) 2020: 202-216 - [c81]Wei Jiang, Wei Wang, Shan Liu:
Structured Weight Unification and Encoding for Neural Network Compression and Acceleration. CVPR Workshops 2020: 3068-3076 - [c80]Xiang Zhang, Wen Gao, Shan Liu:
Implicit Geometry Partition for Point Cloud Compression. DCC 2020: 73-82 - [c79]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Video-Based Compression for Plenoptic Point Clouds. DCC 2020: 378 - [c78]Xiang Zhang, Wen Gao, Shan Liu:
Linear Model Based Geometry Coding for Lidar Acquired Point Clouds. DCC 2020: 406 - [c77]Wei Jia, Li Li, Zhu Li, Shuai Zhao, Shan Liu:
Triplet Loss Feature Aggregation for Scalable Hash. ICASSP 2020: 1918-1922 - [c76]Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. ICASSP 2020: 2588-2592 - [c75]Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li, Zhiqiang Bai:
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network. ICASSP 2020: 4447-4451 - [c74]Wei Wu, Zizheng Liu, Zhenzhong Chen, Shan Liu:
No-Reference Video Quality Assessment Based On Similarity Map Estimation. ICIP 2020: 181-185 - [c73]Yiming Li, Zizheng Liu, Zhenzhong Chen, Shan Liu:
Rate Control For Versatile Video Coding. ICIP 2020: 1176-1180 - [c72]Yangfan Sun, Li Li, Zhu Li, Shan Liu:
Yoco: Light-Weight Rate Control Model Learning. ICIP 2020: 1316-1320 - [c71]Wei Jia, Li Li, Zhu Li, Xiang Zhang, Shan Liu:
Residual Guided Deblocking With Deep Learning. ICIP 2020: 3109-3113 - [c70]Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
Pointhop++: A Lightweight Learning Model on Point Sets for 3D Classification. ICIP 2020: 3319-3323 - [c69]Xin Zhao, Shan Liu:
Unified Secondary Transform for Intra Coding Beyond Av1. ICIP 2020: 3393-3397 - [c68]Liang Zhao, Xin Zhao, Shan Liu:
Improved Intra Coding Beyond AV1 Using Adaptive Prediction Angles and Reference Lines. ICIP 2020: 3408-3412 - [c67]Yingbin Wang, Xiaozhong Xu, Shan Liu:
Intra Block Copy in Avs3 Video Coding Standard. ICME Workshops 2020: 1-6 - [c66]Han Zhu, Xiaozhong Xu, Shan Liu:
Residual Convolutional Neural Network Based In-Loop Filter with Intra and Inter Frames Processed Respectively for Avs3. ICME Workshops 2020: 1-6 - [c65]Qiao Tian, Zewang Zhang, Heng Lu, Ling-Hui Chen, Shan Liu:
FeatherWave: An Efficient High-Fidelity Neural Vocoder with Multi-Band Linear Prediction. INTERSPEECH 2020: 195-199 - [c64]Ye Hu, Yiming Li, Zhenzhong Chen, Xiaozhong Xu, Shan Liu:
Performance Analysis of Intra Block Copy for Screen Content Coding in AVS3. MIPR 2020: 123-126 - [c63]Sijia Chen, Zhenzhong Chen, Yingbin Wang, Shan Liu:
In-Loop Filter with Dense Residual Convolutional Neural Network for VVC. MIPR 2020: 149-152 - [c62]Yingxue Zhang, Zizheng Liu, Wei Wu, Ruigang Yao, Zhenzhong Chen, Shan Liu:
A Subjective Quality Assessment Database for Mobile Video Coding. MIPR 2020: 225-228 - [c61]Yaosi Hu, Yingxue Zhang, Zizheng Liu, Zhenzhong Chen, Shan Liu:
Subjective Study of Perceptual Quality for Micro-Video Applications. MIPR 2020: 229-232 - [c60]Munan Xu, Jia-Xing Zhong, Yurui Ren, Shan Liu, Ge Li:
Context-aware Attention Network for Predicting Image Aesthetic Subjectivity. ACM Multimedia 2020: 798-806 - [c59]Wei Yan, Ruonan Zhang, Jing Wang, Shan Liu, Thomas H. Li, Ge Li:
Vaccine-style-net: Point Cloud Completion in Implicit Continuous Function Space. ACM Multimedia 2020: 2067-2075 - [c58]Yangfan Sun, Li Li, Zhu Li, Shan Liu:
Referenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features. ACM Multimedia 2020: 2481-2489 - [c57]Xiaozhong Xu, Shan Liu:
Screen Content Coding in Recently Developed Video Coding Standards. VCIP 2020: 1-2 - [c56]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA). VCIP 2020: 5-8 - [c55]Birendra Kathariya, Li Li, Zhu Li, Lingyu Duan, Shan Liu:
Network Update Compression for Federated Learning. VCIP 2020: 38-41 - [c54]Chuang Ma, Ge Li, Qi Zhang, Yiting Shao, Jing Wang, Shan Liu:
Fast Recolor Prediction Scheme in Point Cloud Attribute Compression. VCIP 2020: 50-53 - [c53]Yingshen He, Ge Li, Yiting Shao, Jing Wang, Yueru Chen, Shan Liu:
A point cloud compression framework via spherical projection. VCIP 2020: 62-65 - [c52]Anique Akhtar, Wen Gao, Xiang Zhang, Li Li, Zhu Li, Shan Liu:
Point Cloud Geometry Prediction Across Spatial Scale using Deep Learning. VCIP 2020: 70-73 - [c51]Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation. VCIP 2020: 144-147 - [c50]Yuhang Zhang, Zhenzhong Chen, Shan Liu:
Video Super Resolution Using Temporal Encoding ConvLSTM and Multi-Stage Fusion. VCIP 2020: 298-301 - [c49]Yu Guo, Zizheng Liu, Zhenzhong Chen, Shan Liu:
Deep Inter Coding with Interpolated Reference Frame for Hierarchical Coding Structure. VCIP 2020: 302-305 - [c48]Xiaozhong Xu, Shitao Wang, Yu Chen, Yiming Li, Qing Zhang, Yushan Zheng, Shan Liu:
An Optimized Video Encoder Implementation with Screen Content Coding Tools. VCIP 2020: 306-309 - [c47]Yingbin Wang, Zhenzhong Chen, Shan Liu:
Equirectangular Projection Oriented Intra Prediction for 360-Degree Video Coding. VCIP 2020: 483-486 - [c46]Tong Ouyang, Zhenzhong Chen, Shan Liu:
Towards Quantized DCT Coefficients Restoration for Compressed Images. VCIP 2020: 515-518 - [i23]Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification. CoRR abs/2002.03281 (2020) - [i22]Qiao Tian, Zewang Zhang, Heng Lu, Ling-Hui Chen, Shan Liu:
FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction. CoRR abs/2005.05551 (2020) - [i21]Zewang Zhang, Qiao Tian, Heng Lu, Ling-Hui Chen, Shan Liu:
AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN. CoRR abs/2005.05642 (2020) - [i20]Bichuan Guo, Jiangtao Wen, Zhen Xia, Shan Liu, Yuxing Han:
Learning Model-Blind Temporal Denoisers without Ground Truths. CoRR abs/2007.03241 (2020) - [i19]Yuanqi Chen, Xiaoming Yu, Shan Liu, Ge Li:
Toward Zero-Shot Unsupervised Image-to-Image Translation. CoRR abs/2007.14050 (2020) - [i18]Yurui Ren, Ge Li, Shan Liu, Thomas H. Li:
Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation. CoRR abs/2008.12606 (2020) - [i17]Min Zhang, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation. CoRR abs/2009.01280 (2020) - [i16]Pranav Kadam, Min Zhang, Shan Liu, C.-C. Jay Kuo:
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA). CoRR abs/2009.01293 (2020) - [i15]Qiao Tian, Zewang Zhang, Chao Liu, Heng Lu, Linghui Chen, Bin Wei, Pujiang He, Shan Liu:
FeatherTTS: Robust and Efficient attention based Neural TTS. CoRR abs/2011.00935 (2020) - [i14]Xiaozhong Xu, Shan Liu:
Overview of Screen Content Coding in Recently Developed Video Coding Standards. CoRR abs/2011.14068 (2020) - [i13]Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li:
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. CoRR abs/2012.05535 (2020) - [i12]Xin Zhao, Liang Zhao, Madhu Peringassery Krishnan, Yixin Du, Shan Liu, Debargha Mukherjee, Yaowu Xu, Adrian Grange:
Study On Coding Tools Beyond Av1. CoRR abs/2012.13491 (2020)
2010 – 2019
- 2019
- [j5]Chunbiao Zhu, Wenhao Zhang, Thomas H. Li, Shan Liu, Ge Li:
Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection. ACM Trans. Intell. Syst. Technol. 10(3): 32:1-32:20 (2019) - [c45]Nannan Li, Zhenzhong Chen, Shan Liu:
Meta Learning for Image Captioning. AAAI 2019: 8626-8633 - [c44]Qiao Tian, Jing Chen, Shan Liu:
The Tencent speech synthesis system for Blizzard Challenge 2019. Blizzard Challenge 2019 - [c43]Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. CVPR 2019: 1237-1246 - [c42]Kai Lin, Thomas H. Li, Shan Liu, Ge Li:
Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network. CVPR Workshops 2019: 1717-1721 - [c41]Liang Zhao, Xin Zhao, Shan Liu, Xiang Li, Jani Lainema, Gagan Rath, Fabrice Urban, Fabien Racapé:
Wide Angular Intra Prediction for Versatile Video Coding. DCC 2019: 53-62 - [c40]Zhaobin Zhang, Xin Zhao, Xiang Li, Zhu Li, Shan Liu:
Fast Adaptive Multiple Transform for Versatile Video Coding. DCC 2019: 63-72 - [c39]Yao-Jen Chang, Hong-Jheng Jhu, Hui-Yu Jiang, Liang Zhao, Xin Zhao, Xiang Li, Shan Liu, Benjamin Bross, Paul Keydel, Heiko Schwarz, Detlev Marpe, Thomas Wiegand:
Multiple Reference Line Coding for Most Probable Modes in Intra Prediction. DCC 2019: 559 - [c38]Chunbiao Zhu, Yuanqi Chen, Yiwei Zhang, Shan Liu, Ge Li:
ResGAN: A Low-Level Image Processing Network to Restore Original Quality of JPEG Compressed Images. DCC 2019: 616 - [c37]Tao Zhang, Shan Liu, Thomas H. Li, Ge Li:
Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network. ICASSP 2019: 1642-1646 - [c36]Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li:
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. ICASSP 2019: 1647-1651 - [c35]Zhaobin Zhang, Yue Li, Li Li, Zhu Li, Shan Liu:
Multiple Linear Regression for High Efficiency Video Intra Coding. ICASSP 2019: 1832-1836 - [c34]Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li:
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. ICCV 2019: 181-190 - [c33]Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li:
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. ICCV 2019: 6479-6488 - [c32]Chunbiao Zhu, Wei Yan, Shan Liu, Thomas H. Li, Ge Li:
Salient Contour-Aware Based Twice Learning Strategy for Saliency Detection. ICCV Workshops 2019: 2541-2548 - [c31]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Occupancy-Map-Based Rate Distortion Optimization for Video-Based Point Cloud Compression. ICIP 2019: 3167-3171 - [c30]Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, C.-C. Jay Kuo:
Stereo Depth Mapping via Axis-Aligned Warping. ICIP 2019: 4305-4309 - [c29]Bing Yang, Jiaqi Zhong, Shan Liu:
Pre-Trained Text Representations for Improving Front-End Text Processing in Mandarin Text-to-Speech Synthesis. INTERSPEECH 2019: 4480-4484 - [c28]Xiaozhong Xu, Xiang Li, Shan Liu:
Current Picture Referencing in Versatile Video Coding. MIPR 2019: 26-31 - [c27]Xiaoming Yu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li:
Multi-mapping Image-to-Image Translation via Learning Disentanglement. NeurIPS 2019: 2990-2999 - [c26]Sijia Chen, Yiming Li, Zhenzhong Chen, Shan Liu:
A Novel Partition Mode for Screen Content Video in AVS3. PCS 2019: 1-5 - [c25]Xiaozhong Xu, Xiang Li, Shan Liu:
Intra block copy in Versatile Video Coding with Reference Sample Memory Reuse. PCS 2019: 1-5 - [c24]Qiao Tian, Xucheng Wan, Shan Liu:
Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder. SSW 2019: 19-23 - [c23]Honglian Wei, Yiting Shao, Jing Wang, Shan Liu, Ge Li:
Enhanced Intra Prediction Scheme in Point Cloud Attribute Compression. VCIP 2019: 1-4 - [i11]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Occupancy-map-based rate distortion optimization for video-based point cloud compression. CoRR abs/1902.04169 (2019) - [i10]Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li:
Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection. CoRR abs/1903.07256 (2019) - [i9]Wei Yan, Yiting Shao, Shan Liu, Thomas H. Li, Zhu Li, Ge Li:
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds. CoRR abs/1905.03691 (2019) - [i8]Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C.-C. Jay Kuo:
PointHop: An Explainable Machine Learning Method for Point Cloud Classification. CoRR abs/1907.12766 (2019) - [i7]Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li:
StructureFlow: Image Inpainting via Structure-aware Appearance Flow. CoRR abs/1908.03852 (2019) - [i6]Xiaoming Yu, Yuanqi Chen, Thomas H. Li, Shan Liu, Ge Li:
Multi-mapping Image-to-Image Translation via Learning Disentanglement. CoRR abs/1909.07877 (2019) - [i5]Munan Xu, Junming Chen, Haiqiang Wang, Shan Liu, Ge Li, Zhiqiang Bai:
C3DVQA: Full-Reference Video Quality Assessment with 3D Convolutional Neural Network. CoRR abs/1910.13646 (2019) - [i4]Li Li, Zhu Li, Shan Liu, Houqiang Li:
Video-based compression for plenoptic point clouds. CoRR abs/1911.01355 (2019) - [i3]Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li:
RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection. CoRR abs/1911.03029 (2019) - 2018
- [c22]Zhenzhong Chen, Yiming Li, Feiyang Liu, Zizheng Liu, Xiang Pan, Wanjie Sun, Yingbin Wang, Yan Zhou, Han Zhu, Shan Liu:
CNN-Optimized Image Compression with Uncertainty based Resource Allocation. CVPR Workshops 2018: 2559-2562 - [c21]Xiaozhong Xu, Xiang Li, Shan Liu:
Intra Block Copy for Next Generation Video Coding. ICME Workshops 2018: 1-4 - [c20]Bing Li, Chia-Wen Lin, Shan Liu, Tiejun Huang, Wen Gao, C.-C. Jay Kuo:
Perceptual Temporal Incoherence Aware Stereo Video Retargeting. ACM Multimedia 2018: 1501-1509 - [c19]Yingbin Wang, Han Zhu, Yiming Li, Zhenzhong Chen, Shan Liu:
Dense Residual Convolutional Neural Network based In-Loop Filter for HEVC. VCIP 2018: 1-4 - [c18]Zhaobin Zhang, Yue Li, Li Li, Zhu Li, Shan Liu:
Combining Intra Block Copy and Neighboring Samples Using Convolutional Neural Network for Image Coding. VCIP 2018: 1-4 - [c17]Xin Zhao, Li Li, Zhu Li, Xiang Li, Shan Liu:
Coupled Primary and Secondary Transform for Next Generation Video Coding. VCIP 2018: 1-4 - [i2]Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li:
BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. CoRR abs/1811.02189 (2018) - [i1]Qiao Tian, Bing Yang, Jing Chen, Benlai Tang, Shan Liu:
Generative Adversarial Network based Speaker Adaptation for High Fidelity WaveNet Vocoder. CoRR abs/1812.02339 (2018) - 2017
- [c16]Shuai Zhao, Zhu Li, Deep Medhi, PoLin Lai, Shan Liu:
Study of user QoE improvement for dynamic adaptive streaming over HTTP (MPEG-DASH). ICNC 2017: 566-570 - 2016
- [j4]Xiaozhong Xu, Shan Liu, Tzu-Der Chuang, Yu-Wen Huang, Shawmin Lei, Krishnakanth Rapaka, Chao Pang, Vadim Seregin, Ye-Kui Wang, Marta Karczewicz:
Intra Block Copy in HEVC Screen Content Coding Extensions. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(4): 409-419 (2016) - [j3]Wei Pu, Marta Karczewicz, Rajan L. Joshi, Vadim Seregin, Feng Zou, Joel Sole, Yu-Chen Sun, Tzu-Der Chuang, PoLin Lai, Shan Liu, Shih-Ta Hsiang, Jing Ye, Yu-Wen Huang:
Palette Mode Coding in HEVC Screen Content Coding Extension. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(4): 420-432 (2016) - [c15]Yu-Chen Sun, Tzu-Der Chuang, Jungsun Kim, Yi-Wen Chen, Shan Liu, Yu-Wen Huang, Shawmin Lei:
Improved palette index map coding on HEVC SCC. ICIP 2016: 4210-4214 - 2015
- [c14]Xiaozhong Xu, Shan Liu, Tzu-Der Chuang, Shawmin Lei:
Block Vector Prediction for Intra Block Copying in HEVC Screen Content Coding. DCC 2015: 273-282 - [c13]Yu-Chen Sun, Tzu-Der Chuang, PoLin Lai, Yi-Wen Chen, Shan Liu, Yu-Wen Huang, Shawmin Lei:
Palette mode - A new coding tool in screen content coding extensions of HEVC. ICIP 2015: 2409-2413 - 2014
- [c12]Xiaozhong Xu, Shan Liu, Jing Ye, Shawmin Lei:
PU level intra block copying with flipping mode. APSIPA 2014: 1-7 - [c11]Chun-Chi Chen, Xiaozhong Xu, Ru-Ling Liao, Wen-Hsiao Peng, Shan Liu, Shawmin Lei:
Screen content coding using non-square intra block copy for HEVC. ICME 2014: 1-6 - 2013
- [c10]PoLin Lai, Shan Liu, Shawmin Lei:
Combined temporal and inter-layer prediction for scalable video coding using HEVC. PCS 2013: 117-120 - [c9]Mei Guo, Shan Liu, Shawmin Lei:
Inter-layer adaptive filtering for scalable extension of HEVC. PCS 2013: 165-168 - [c8]PoLin Lai, Shan Liu, Shawmin Lei:
Low latency directional filtering for inter-layer prediction in scalable video coding using HEVC. PCS 2013: 269-272 - [c7]Mei Guo, Shan Liu, Shawmin Lei, Junghye Min, Tammy Lee:
Inter-layer intra mode prediction for scalable extension of HEVC. PCS 2013: 317-320 - 2012
- [c6]Shan Liu, Ximin Zhang, Shawmin Lei:
Rectangular partitioning for Intra prediction in HEVC. VCIP 2012: 1-6 - [c5]Ximin Zhang, Shan Liu, Shawmin Lei:
Intra mode coding in HEVC standard. VCIP 2012: 1-6
2000 – 2009
- 2005
- [j2]Shan Liu, C.-C. Jay Kuo:
Joint temporal-spatial bit allocation for video coding with dependency. IEEE Trans. Circuits Syst. Video Technol. 15(1): 15-26 (2005) - 2003
- [j1]Shan Liu, C.-C. Jay Kuo, JongWon Kim:
Hybrid global-local motion compensated frame interpolation for low bit rate video coding. J. Vis. Commun. Image Represent. 14(1): 58-76 (2003) - [c4]Shan Liu, C.-C. Jay Kuo:
Joint temporal-spatial rate control for adaptive video transcoding. ICME 2003: 225-228 - 2002
- [c3]Shan Liu, C.-C. Jay Kuo:
Complexity reduction of joint temporal-spatial bit allocation using R-D models for video streaming. ICIP (1) 2002: 729-732 - [c2]Shan Liu, JongWon Kim, C.-C. Jay Kuo:
Joint temporal-spatial rate control with approximating rate-distortion models. VCIP 2002: 746-755 - 2001
- [c1]Shan Liu, JongWon Kim, C.-C. Jay Kuo:
Bit Allocation for Video Coding with Temporal-Spatial Tradeoff. IEEE Pacific Rim Conference on Multimedia 2001: 466-473
Coauthor Index
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