Xianming Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
107
Venues
17
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
107 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning. | Jiajun Cao, Qizhe Zhang, Peidong Jia, Xuhui Zhao, Bo Lan, Xiaoan Zhang, Lizhuo, Xiaobao Wei, Sixiang Chen, Liyun Li, Xianming Liu, Ming Lu, Yang Wang, Shanghang Zhang |
| 2026 | AAAI | Variation-Bounded Loss for Noise-Tolerant Learning. | Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li |
| 2026 | AAAI | Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining. | Zhaocheng Yu, Kui Jiang, Junjun Jiang, Xianming Liu, Guanglu Sun, Yi Xiao |
| 2025 | AAAI | CALLIC: Content Adaptive Learning for Lossless Image Compression. | Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao |
| 2025 | AAAI | Debiased All-in-one Image Restoration with Task Uncertainty Regularization. | Gang Wu, Junjun Jiang, Yijun Wang, Kui Jiang, Xianming Liu |
| 2025 | AAAI | Spatial Annealing for Efficient Few-shot Neural Rendering. | Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu |
| 2025 | CVPR | NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results. | Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Jianxing Zhang, Jinlong Wu, Jun Wang, Zheng Xie, Hakjae Jeon, Suejin Han, Hyung-Ju Chun, Hyunhee Park, Zhicun Yin, Junjie Chen, Ming Liu, Xiaoming Li, Chao Zhou, Wangmeng Zuo, Weixia Zhang, Dingquan Li, Kede Ma, Yun Zhang, Zhuofan Zheng, Yuyue Liu, Shizhen Tang, Zihao Zhang, Yi Ning, Hao Jiang, Wenjie An, Kangmeng Yu, Chenyang Wang, Kui Jiang, Xianming Liu, Junjun Jiang, Yingfu Zhang, Gang He, Siqi Wang, Kepeng Xu, Zhenyang Liu, Changxin Zhou, Shanlan Shen, Yubo Duan, Yiang Chen, Jin Guo, Mengru Yang, Jen-Wei Lee, Chia-Ming Lee, Chih-Chung Hsu, Hu Peng, Chunming He |
| 2025 | CVPR | DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds. | Youyu Chen, Junjun Jiang, Kui Jiang, Xiao Tang, Zhihao Li, Xianming Liu, Yinyu Nie |
| 2025 | CVPR | The Fourth Monocular Depth Estimation Challenge. | Anton Obukhov, Matteo Poggi, Fabio Tosi, Ripudaman Singh Arora, Jaime Spencer, Chris Russell, Simon Hadfield, Richard Bowden, Shuaihang Wang, Zhenxin Ma, Weijie Chen, Baobei Xu, Fengyu Sun, Di Xie, Jiang Zhu, Mykola Lavreniuk, Haining Guan, Qun Wu, Yupei Zeng, Chao Lu, Huanran Wang, GuangYuan Zhou, Haotian Zhang, Jianxiong Wang, Qiang Rao, Chunjie Wang, Xiao Liu, Zhiqiang Lou, Hualie Jiang, Yihao Chen, Rui Xu, Minglang Tan, Zihan Qin, Yifan Mao, Jiayang Liu, Jialei Xu, Yifan Yang, Wenbo Zhao, Junjun Jiang, Xianming Liu, Mingshuai Zhao, Anlong Ming, Wu Chen, Feng Xue, Mengying Yu, Shida Gao, Xiangfeng Wang, Gbenga Omotara, Ramy Farag, Jacket Demby's, Seyed Mohamad Ali Tousi, Guilherme N. DeSouza, Tuan-Anh Yang, Minh-Quang Nguyen, Thien-Phuc Tran, Albert Luginov, Muhammad Shahzad |
| 2025 | CVPR | COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting. | Jiaxin Zhang, Junjun Jiang, Youyu Chen, Kui Jiang, Xianming Liu |
| 2025 | ICCV | Balancing Task-Invariant Interaction and Task-Specific Adaptation for Unified Image Fusion. | Xingyu Hu, Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma |
| 2025 | ICCV | Joint Asymmetric Loss for Learning with Noisy Labels. | Jialiang Wang, Xianming Liu, Xiong Zhou, Gangfeng Hu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2025 | IROS | FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion. | Pihai Sun, Junjun Jiang, Yuanqi Yao, Youyu Chen, Wenbo Zhao, Kui Jiang, Xianming Liu |
| 2025 | ICRA | Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. | Jialei Xu, Rui Li, Kai Cheng, Junjun Jiang, Xianming Liu |
| 2025 | VCIP | A Wavelet-based Image Coding Framework for Data Storage on DNA. | Chen Qin, Yuanchao Bai, Wenbo Zhao, Xianming Liu |
| 2024 | AAAI | Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. | Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu |
| 2024 | AAAI | FMRNet: Image Deraining via Frequency Mutual Revision. | Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma |
| 2024 | AAAI | Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. | Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu |
| 2024 | CVPR | OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. | Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu |
| 2024 | CVPR | The Third Monocular Depth Estimation Challenge. | Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder |
| 2024 | ECCV | Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. | Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua |
| 2024 | ECCV | Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training. | Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang |
| 2024 | ICIP | Context-Adaptive Entropy Model With Adapters For Lossless Point Cloud Geometry Compression. | Yutong Zhang, Wenbo Zhao, Daxin Li, Junjun Jiang, Xianming Liu |
| 2024 | ICLR | Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. | Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2024 | ICLR | Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. | Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji |
| 2024 | IROS | SDGE: Stereo Guided Depth Estimation for 360°Camera Sets. | Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu |
| 2024 | VCIP | Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. | Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu |
| 2024 | VCIP | Enhancing Privacy-Utility Tradeoff with Few-Round Strategy in Heterogeneous Federated Learning. | Qingbin Wei, Feilong Zhang, Yuanchao Bai, Deming Zhai, Junjun Jiang, Xianming Liu |
| 2023 | CVPR | NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. | Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang |
| 2023 | CVPR | Thermal Image Super-Resolution Challenge Results - PBVS 2023. | Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Shengye Li |
| 2023 | CVPR | Spatial-Frequency Mutual Learning for Face Super-Resolution. | Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu |
| 2023 | ICIP | Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer. | Yeganeh Gharedaghi, Gene Cheung, Xianming Liu |
| 2023 | ICLR | Large Sparse Kernels for Federated Learning. | Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu |
| 2023 | ICML | No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. | Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji |
| 2022 | AAAI | Towards End-to-End Image Compression and Analysis with Transformers. | Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao |
| 2022 | AAAI | SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. | Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao |
| 2022 | AAAI | Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. | Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji |
| 2022 | CVPR | From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. | Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma |
| 2022 | CVPR | GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. | Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu |
| 2022 | CVPR | Thermal Image Super-Resolution Challenge Results - PBVS 2022. | Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang |
| 2022 | CVPR | NTIRE 2022 Image Inpainting Challenge: Report. | Andrs Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang |
| 2022 | CVPR | Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. | Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji |
| 2022 | CVPR | Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. | Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2022 | ECCV | Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun |
| 2022 | ECCV | Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. | Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma |
| 2022 | ECCV | Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. | Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang |
| 2022 | ECCV | LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. | Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang |
| 2022 | ICLR | Learning Towards The Largest Margins. | Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2022 | ICML | Prototype-Anchored Learning for Learning with Imperfect Annotations. | Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2021 | CVPR | Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression. | Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji |
| 2021 | CVPR | Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. | Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji |
| 2021 | ICCV | Learning with Noisy Labels via Sparse Regularization. | Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2021 | ICML | Asymmetric Loss Functions for Learning with Noisy Labels. | Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji |
| 2020 | ICASSP | Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. | Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu |
| 2020 | ICASSP | ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. | Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu |
| 2020 | ICIP | Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. | Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang |
| 2020 | ICLR | FasterSeg: Searching for Faster Real-time Semantic Segmentation. | Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang |
| 2019 | CVPR | NTIRE 2019 Challenge on Image Enhancement: Methods and Results. | Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi |
| 2019 | ICASSP | Reconstruction-cognizant Graph Sampling Using Gershgorin Disc Alignment. | Yuanchao Bai, Gene Cheung, Fen Wang, Xianming Liu, Wen Gao |
| 2019 | ISIT | An Elementary Proof of a Classical Information-Theoretic Formula. | Xianming Liu, Ronit Bustin, Guangyue Han, Shlomo Shamai Shitz |
| 2018 | DCC | Compressed Image Restoration via External-Image Assisted Band Adaptive PCA Model Learning. | Qiang Song, Ruiqin Xiong, Xiaopeng Fan, Xianming Liu, Tiejun Huang, Wen Gao |
| 2018 | ICASSP | Blind Image Deblurring Via Reweighted Graph Total Variation. | Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao |
| 2018 | ICIP | Noise-Aware Super-Resolution of Depth Maps Via Graph-Based Plug-And-Play Framework. | Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao |
| 2018 | ICIP | A Blind Quality Measure for Industrial 2D Matrix Symbols Using Shallow Convolutional Neural Network. | Zhaohui Che, Guangtao Zhai, Jing Liu, Ke Gu, Patrick Le Callet, Jiantao Zhou, Xianming Liu |
| 2018 | IJCAI | When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. | Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang |
| 2018 | ISCAS | Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. | Zhaohui Che, Guangtao Zhai, Ke Gu, Patrick Le Callet, Xianming Liu, Deming Zhai, Xiao Gu |
| 2018 | MMSP | Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization. | Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao |
| 2017 | ICCV | Robust Video Super-Resolution with Learned Temporal Dynamics. | Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang |
| 2017 | ICIP | Single depth image super-resolution and denoising based on sparse graphs via structure tensor. | Yihui Feng, Xianming Liu, Yongbing Zhang, Qionghai Dai |
| 2016 | ICASSP | Quantization bin matching for cloud storage of JPEG images. | Xianming Liu, Gene Cheung, Chia-Wen Lin, Debin Zhao |
| 2016 | ISCAS | Perceptual image quality assessment combining free-energy principle and sparse representation. | Yutao Liu, Guangtao Zhai, Xianming Liu, Debin Zhao |
| 2015 | CVPR | Understanding image structure via hierarchical shape parsing. | Xianming Liu, Rongrong Ji, Changhu Wang, Wei Liu, Bineng Zhong, Thomas S. Huang |
| 2015 | CVPR | Data-driven sparsity-based restoration of JPEG-compressed images in dual transform-pixel domain. | Xianming Liu, Xiaolin Wu, Jiantao Zhou, Debin Zhao |
| 2015 | ICASSP | Joint denoising and contrast enhancement of images using graph laplacian operator. | Xianming Liu, Gene Cheung, Xiaolin Wu |
| 2015 | ICCV | Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. | Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang |
| 2015 | ICIP | Inter-block consistent soft decoding of JPEG images with sparsity and graph-signal smoothness priors. | Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao |
| 2015 | VCIP | Sparsity-based joint gaze correction and face beautification for conferencing video. | Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao |
| 2015 | VCIP | Quality assessment for out-of-focus blurred images. | Yutao Liu, Guangtao Zhai, Xianming Liu, Debin Zhao |
| 2014 | DCC | Multiple Description Image Coding with Local Random Measurements. | Xianming Liu, Xiaolin Wu, Debin Zhao |
| 2014 | ICIP | Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding. | Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao, Hiroshi Sankoh, Sei Naito |
| 2014 | ISIT | Recent results in continuous-time network information theory. | Xianming Liu, Guangyue Han |
| 2013 | AAAI | Localizing Web Videos from Heterogeneous Images. | Xianming Liu, Yue Gao, Rongrong Ji, Shiyu Chang, Thomas S. Huang |
| 2013 | DCC | Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. | Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao |
| 2013 | DCC | Progressive Image Restoration through Hybrid Graph Laplacian Regularization. | Deming Zhai, Xianming Liu, Debin Zhao, Hong Chang, Wen Gao |
| 2013 | ICASSP | On the design of an efficient encryption-then-compression system. | Jiantao Zhou, Xianming Liu, Oscar C. Au |
| 2013 | ICIP | Sparsity-based soft decoding of compressed images in transform domain. | Xianming Liu, Xiaolin Wu, Debin Zhao |
| 2013 | ICIP | Structured Textons for texture representation. | Pengfei Xu, Xianming Liu, Hongxun Yao, Yanhao Zhang, Shaopeng Tang |
| 2013 | IJCAI | Parametric Local Multimodal Hashing for Cross-View Similarity Search. | Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao |
| 2013 | PCS | Low bit-rate image coding via local random down-sampling. | Reza Pournaghi, Xiaolin Wu, Xianming Liu |
| 2012 | CVPR | The scale of edges. | Xianming Liu, Changhu Wang, Hongxun Yao, Lei Zhang |
| 2012 | DCC | Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. | Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Ruiqin Xiong, Wen Gao |
| 2012 | ICASSP | Web image interpolation via weighted total least squares regression. | Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Wen Gao |
| 2012 | VCIP | Low bit-rate video coding via mode-dependent adaptive regression for wireless visual communications. | Xianming Liu, Xiaolin Wu, Xinwei Gao, Debin Zhao, Wen Gao |
| 2011 | DCC | Transductive Regression with Local and Global Consistency for Image Super-Resolution. | Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, Huifang Sun |
| 2011 | ICIP | Sparse representation based visual element analysis. | Xue Li, Hongxun Yao, Xiaoshuai Sun, Rongrong Ji, Xianming Liu, Pengfei Xu |
| 2011 | ISCAS | Side information extrapolation with temporal and spatial consistency. | Xianming Liu, Deming Zhai, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao |
| 2010 | ICASSP | Exploring statistical properties for semantic annotation: sparse distributed and convergent assumptions for keywords. | Xianming Liu, Hongxun Yao, Rongrong Ji |
| 2010 | ICIP | Visual saliency as sequential eye fixation probability. | Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xianming Liu, Shaohui Liu |
| 2010 | ICIP | Saliency detection based on short-term sparse representation. | Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xianming Liu, Shaohui Liu |
| 2010 | PCS | Image interpolation via regularized local linear regression. | Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao |
| 2010 | VCIP | Side information enhancement via texture and motion activity analysis in distributed video coding. | Xianming Liu, Debin Zhao, Siwei Ma, Wen Gao |
| 2010 | VCIP | A rotation and scale invariant texture description approach. | Pengfei Xu, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun, Xianming Liu |
| 2009 | ICIP | Joint learning for side information and correlation model based on linear regression model in distributed video coding. | Xianming Liu, Debin Zhao, Yongbing Zhang, Siwei Ma, Qingming Huang, Wen Gao |
| 2009 | PCS | Multi-hypothesis based multi-view distributed video coding. | Yongpeng Li, Hongbin Liu, Xianming Liu, Siwei Ma, Debin Zhao, Wen Gao |
| 2009 | PCS | Two-pass reconstruction in distributed video coding. | Hongbin Liu, Yongpeng Li, Xianming Liu, Siwei Ma, Debin Zhao, Wen Gao |
| 2009 | PCS | Improved low delay distributed video coding. | Hongbin Liu, Yongpeng Li, Xianming Liu, Siwei Ma, Debin Zhao, Wen Gao |
| 2009 | PCS | Local adaptive learning and fusion for side information interpolation in distributed video coding. | Xianming Liu, Yongbing Zhang, Yongpeng Li, Hongbin Liu, Siwei Ma, Debin Zhao |