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2020 – today
- 2022
[j57]Yi Niu, Mingming Ma, Fu Li, Xianming Liu, Guangming Shi:
ACO: lossless quality score compression based on adaptive coding order. BMC Bioinform. 23(1): 219 (2022)- [j56]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring. IEEE CAA J. Autom. Sinica 9(5): 878-892 (2022) - [j55]Changxing Jiang, Xiaohua Lei, Yuru Chen, Shaojie Lv, Xianming Liu, Peng Zhang:
Silicone Rubber Fabry-Perot Pressure Sensor Based on a Spherical Optical Fiber End Face. Sensors 22(5): 1862 (2022) - [j54]Zhiwei Zhong
, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. IEEE Trans. Image Process. 31: 648-663 (2022) - [j53]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. IEEE Trans. Image Process. 31: 2950-2961 (2022) - [j52]Junjun Jiang, Jiayi Ma, Xianming Liu:
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(2): 839-852 (2022) - [j51]Deming Zhai, Ruifeng Shi, Junjun Jiang, Xianming Liu:
Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 30:1-30:17 (2022) - [j50]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 64:1-64:15 (2022) - [i50]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CoRR abs/2203.03818 (2022) - [i49]Yiqi Zhong, Lei Wu, Xianming Liu, Junjun Jiang:
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. CoRR abs/2203.05323 (2022) - [i48]Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation. CoRR abs/2203.14211 (2022) - [i47]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. CoRR abs/2204.00987 (2022) - [i46]Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CoRR abs/2204.08196 (2022) - [i45]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training. CoRR abs/2204.11590 (2022) - [i44]Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CoRR abs/2205.07162 (2022) - [i43]Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu:
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation. CoRR abs/2205.12606 (2022) - [i42]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards the Largest Margins. CoRR abs/2206.11589 (2022) - [i41]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. CoRR abs/2206.11602 (2022) - 2021
- [j49]Xurui Zheng, Fuyong Zheng, Xianming Liu, Dejun Wang, Jun Wang, Bo Meng:
A Secure and Policy-Controlled Signature Scheme With Strong Expressiveness and Privacy-Preserving Policy. IEEE Access 9: 14945-14957 (2021) - [j48]Peng Zhang, Ying Wang, Yuru Chen, Xiaohua Lei, Yi Qi, Jianghua Feng, Xianming Liu:
A High-Speed Demodulation Technology of Fiber Optic Extrinsic Fabry-Perot Interferometric Sensor Based on Coarse Spectrum. Sensors 21(19): 6609 (2021) - [j47]Qiang Li, Xianming Liu, Junjun Jiang, Cheng Guo, Xiangyang Ji, Xiaolin Wu:
Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing. IEEE Trans. Computational Imaging 7: 124-136 (2021) - [j46]Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao:
NormalNet: Learning-Based Mesh Normal Denoising via Local Partition Normalization. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4697-4710 (2021) - [j45]Wenbo Zhao, Xianming Liu, Shiqi Wang, Xiaopeng Fan, Debin Zhao:
Graph-Based Feature-Preserving Mesh Normal Filtering. IEEE Trans. Vis. Comput. Graph. 27(3): 1937-1952 (2021) - [c97]Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji:
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. CVPR 2021: 10523-10531 - [c96]Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji:
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression. CVPR 2021: 11946-11955 - [c95]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. ICCV 2021: 72-81 - [c94]Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
Zero-Shot Multi-Focus Image Fusion. ICME 2021: 1-6 - [c93]Chenyang Wang, Junjun Jiang, Xianming Liu:
Heatmap-Aware Pyramid Face Hallucination. ICME 2021: 1-6 - [c92]Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. ICML 2021: 12846-12856 - [c91]Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu:
Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. ACM Multimedia 2021: 5335-5343 - [c90]Ziqian Liu, Qing Ma, Junjun Jiang, Xianming Liu:
Improving Hyperspectral Super-Resolution via Heterogeneous Knowledge Distillation. MMAsia 2021: 29:1-29:7 - [i40]Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. CoRR abs/2101.03749 (2021) - [i39]Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji:
Learning Scalable $\ell_\infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression. CoRR abs/2103.17015 (2021) - [i38]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion. CoRR abs/2104.01530 (2021) - [i37]Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021) - [i36]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring. CoRR abs/2105.14766 (2021) - [i35]Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. CoRR abs/2106.03110 (2021) - [i34]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. CoRR abs/2108.00192 (2021) - [i33]Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma:
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. CoRR abs/2108.13584 (2021) - [i32]Jialei Xu, Yuanchao Bai, Xianming Liu, Junjun Jiang, Xiangyang Ji:
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data. CoRR abs/2109.11573 (2021) - [i31]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution. CoRR abs/2111.13923 (2021) - [i30]Gang Wu, Junjun Jiang, Xianming Liu, Jiayi Ma:
A Practical Contrastive Learning Framework for Single Image Super-Resolution. CoRR abs/2111.13924 (2021) - [i29]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations. CoRR abs/2112.04680 (2021) - [i28]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. CoRR abs/2112.06401 (2021) - [i27]Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. CoRR abs/2112.09300 (2021) - 2020
- [j44]Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. IEEE Trans. Computational Imaging 6: 1082-1096 (2020) - [j43]Yongbing Zhang, Yihui Feng, Xianming Liu, Deming Zhai, Xiangyang Ji, Haoqian Wang, Qionghai Dai:
Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. IEEE Trans. Circuits Syst. Video Technol. 30(2): 320-333 (2020) - [j42]Yuanchao Bai, Huizhu Jia, Ming Jiang, Xianming Liu, Xiaodong Xie, Wen Gao:
Single-Image Blind Deblurring Using Multi-Scale Latent Structure Prior. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2033-2045 (2020) - [j41]Xianming Liu, Deming Zhai, Yuanchao Bai, Xiangyang Ji, Wen Gao:
Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2463-2476 (2020) - [j40]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. IEEE Trans. Image Process. 29: 3695-3706 (2020) - [c89]Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu:
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. ICASSP 2020: 2518-2522 - [c88]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. ICASSP 2020: 2668-2672 - [c87]Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang:
Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. ICIP 2020: 2366-2370 - [c86]Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
FasterSeg: Searching for Faster Real-time Semantic Segmentation. ICLR 2020 - [c85]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. ACM Multimedia 2020: 375-383 - [i26]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. CoRR abs/2003.01947 (2020) - [i25]Qiang Li, Xianming Liu, Kaige Han, Cheng Guo, Xiangyang Ji, Xiaolin Wu:
Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing. CoRR abs/2003.06630 (2020) - [i24]Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. CoRR abs/2003.07603 (2020) - [i23]Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. CoRR abs/2005.08752 (2020) - [i22]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. CoRR abs/2006.05049 (2020) - [i21]Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro:
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. CoRR abs/2008.01918 (2020) - [i20]Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation. CoRR abs/2008.07018 (2020) - [i19]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Unsupervised Constrative Person Re-identification. CoRR abs/2010.07608 (2020)
2010 – 2019
- 2019
- [j39]Xianming Liu, Guangyue Han:
On Continuous-Time Gaussian Channels. Entropy 21(1): 67 (2019) - [j38]Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. IEEE Trans. Geosci. Remote. Sens. 57(2): 851-865 (2019) - [j37]Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Wen Gao:
Joint Gaze Correction and Face Beautification for Conference Video Using Dual Sparsity Prior. IEEE Trans. Ind. Electron. 66(12): 9601-9611 (2019) - [j36]Junjun Jiang, Yi Yu, Zheng Wang, Xianming Liu, Jiayi Ma:
Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. IEEE Trans. Image Process. 28(2): 628-641 (2019) - [j35]Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao:
Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds. IEEE Trans. Image Process. 28(3): 1068-1079 (2019) - [j34]Xianming Liu, Gene Cheung, Xiangyang Ji, Debin Zhao, Wen Gao:
Graph-Based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images. IEEE Trans. Image Process. 28(3): 1205-1219 (2019) - [j33]Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Graph-Based Blind Image Deblurring From a Single Photograph. IEEE Trans. Image Process. 28(3): 1404-1418 (2019) - [j32]Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao:
Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations. IEEE Trans. Image Process. 28(4): 1636-1645 (2019) - [c84]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:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c83]Yuanchao Bai, Gene Cheung, Fen Wang, Xianming Liu, Wen Gao:
Reconstruction-cognizant Graph Sampling Using Gershgorin Disc Alignment. ICASSP 2019: 5396-5400 - [c82]Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3467-3475 - [c81]He Sun, Zhiwei Zhong, Deming Zhai, Xianming Liu, Junjun Jiang:
Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network. IFTC 2019: 49-61 - [c80]Jiliang Yan, Deming Zhai, Yi Niu, Xianming Liu, Junjun Jiang:
Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification. IFTC 2019: 171-185 - [c79]Xianming Liu, Ronit Bustin, Guangyue Han, Shlomo Shamai Shitz:
An Elementary Proof of a Classical Information-Theoretic Formula. ISIT 2019: 1392-1396 - [i18]Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao:
NormalNet: Learning based Guided Normal Filtering for Mesh Denoising. CoRR abs/1903.04015 (2019) - [i17]Yuanchao Bai, Huizhu Jia, Ming Jiang, Xianming Liu, Xiaodong Xie, Wen Gao:
Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior. CoRR abs/1906.04442 (2019) - [i16]Tao Hu, Lichao Huang, Xianming Liu, Han Shen:
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network. CoRR abs/1908.00692 (2019) - [i15]Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
FasterSeg: Searching for Faster Real-time Semantic Segmentation. CoRR abs/1912.10917 (2019) - 2018
- [j31]Ningkui Wang, Xianming Liu, Daijun Wei:
A Modified D Numbers' Integration for Multiple Attributes Decision Making. Int. J. Fuzzy Syst. 20(1): 104-115 (2018) - [j30]Ningkui Wang, Zhixuan Wang, Xianming Liu, Daijun Wei:
Optimal route selection based on Monte Carlo method and adaptive amoeba algorithm under uncertain environment. Int. J. Parallel Emergent Distributed Syst. 33(2): 157-171 (2018) - [j29]Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao:
Parametric local multiview hamming distance metric learning. Pattern Recognit. 75: 250-262 (2018) - [j28]Xianming Liu, Gene Cheung, Chia-Wen Lin, Debin Zhao, Wen Gao:
Prior-Based Quantization Bin Matching for Cloud Storage of JPEG Images. IEEE Trans. Image Process. 27(7): 3222-3235 (2018) - [j27]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang:
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. 27(7): 3432-3445 (2018) - [j26]Yutao Liu, Guangtao Zhai, Ke Gu, Xianming Liu, Debin Zhao, Wen Gao:
Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation. IEEE Trans. Multim. 20(2): 379-391 (2018) - [j25]Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Shin'ichi Satoh, Wen Gao:
Supervised Distributed Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multim. 20(3): 675-686 (2018) - [c78]Qiang Song, Ruiqin Xiong, Xiaopeng Fan, Xianming Liu, Tiejun Huang, Wen Gao:
Compressed Image Restoration via External-Image Assisted Band Adaptive PCA Model Learning. DCC 2018: 97-106 - [c77]Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Blind Image Deblurring Via Reweighted Graph Total Variation. ICASSP 2018: 1822-1826 - [c76]Zhaohui Che, Guangtao Zhai, Jing Liu, Ke Gu, Patrick Le Callet, Jiantao Zhou, Xianming Liu:
A Blind Quality Measure for Industrial 2D Matrix Symbols Using Shallow Convolutional Neural Network. ICIP 2018: 2481-2485 - [c75]Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao:
Noise-Aware Super-Resolution of Depth Maps Via Graph-Based Plug-And-Play Framework. ICIP 2018: 2536-2540 - [c74]Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. IJCAI 2018: 842-848 - [c73]Zhaohui Che, Guangtao Zhai, Ke Gu, Patrick Le Callet, Xianming Liu, Deming Zhai, Xiao Gu:
Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. ISCAS 2018: 1-5 - [c72]Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao:
Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization. MMSP 2018: 1-5 - [c71]Deming Zhai, Ao Li, Yang Li, Yang Liu, GuoJun Liu, Xianming Liu, Maozu Guo:
Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. PCM (1) 2018: 513-523 - [i14]Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Graph-Based Blind Image Deblurring From a Single Photograph. CoRR abs/1802.07929 (2018) - [i13]Xianming Liu, Ronit Bustin, Guangyue Han, Shlomo Shamai:
An Elementary Proof of a Classical Information-Theoretic Formula. CoRR abs/1809.01422 (2018) - [i12]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. CoRR abs/1809.01826 (2018) - [i11]Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. CoRR abs/1809.04212 (2018) - 2017
- [j24]Yutao Liu, Ke Gu, Guangtao Zhai, Xianming Liu, Debin Zhao, Wen Gao:
Quality assessment for real out-of-focus blurred images. J. Vis. Commun. Image Represent. 46: 70-80 (2017) - [j23]Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao:
Random Walk Graph Laplacian-Based Smoothness Prior for Soft Decoding of JPEG Images. IEEE Trans. Image Process. 26(2): 509-524 (2017) - [j22]Xianming Liu, Deming Zhai, Jiantao Zhou, Shiqi Wang, Debin Zhao, Huijun Gao:
Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization. IEEE Trans. Image Process. 26(2): 782-796 (2017) - [j21]Xinchao Wang, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao, Thomas S. Huang:
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects. IEEE Trans. Image Process. 26(10): 4765-4776 (2017) - [j20]Shiqi Wang, Xinfeng Zhang, Xianming Liu, Jian Zhang, Siwei Ma, Wen Gao:
Utility-Driven Adaptive Preprocessing for Screen Content Video Compression. IEEE Trans. Multim. 19(3): 660-667 (2017) - [c70]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang:
Robust Video Super-Resolution with Learned Temporal Dynamics. ICCV 2017: 2526-2534 - [c69]Yihui Feng, Xianming Liu, Yongbing Zhang, Qionghai Dai:
Single depth image super-resolution and denoising based on sparse graphs via structure tensor. ICIP 2017: 4063-4067 - [c68]Wei Sun, Guangtao Zhai, Xiongkuo Min, Yutao Liu, Siwei Ma, Jing Liu, Jiantao Zhou, Xianming Liu:
Dynamic backlight scaling considering ambient luminance for mobile energy saving. ICME 2017: 25-30 - [c67]Rong Chen, Xianming Liu, Deming Zhai, Debin Zhao:
Depth Image Denoising via Collaborative Graph Fourier Transform. IFTC 2017: 128-137 - [c66]Yadan Zhao, Yutao Liu, Feng Jiang, Xianming Liu, Debin Zhao:
Fast Noisy Image Quality Assessment Based on Free-Energy Principle. IFTC 2017: 290-299 - [c65]Wenbo Zhao, Xianming Liu, Shiqi Wang, Debin Zhao:
Multi-scale Similarity Enhanced Guided Normal Filtering. PCM (2) 2017: 645-653 - [i10]Xianming Liu, Guangyue Han:
On Continuous-Time Gaussian Channels. CoRR abs/1704.02569 (2017) - [i9]Ding Liu, Bihan Wen, Xianming Liu, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. CoRR abs/1706.04284 (2017) - [i8]