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Deming Zhai
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2020 – today
- 2024
- [j22]Shiyi Lin, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu, Xiangyang Ji:
Overhead-free Noise-tolerant Federated Learning: A New Baseline. Mach. Intell. Res. 21(3): 526-537 (2024) - [j21]Jinwang Pan, Xianming Liu, Yuanchao Bai, Deming Zhai, Junjun Jiang, Debin Zhao:
Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 254:1-254:23 (2024) - [c33]Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. ICLR 2024 - [i16]Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. CoRR abs/2404.00992 (2024) - [i15]Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Mesh Denoising Transformer. CoRR abs/2405.06536 (2024) - [i14]Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. CoRR abs/2406.07828 (2024) - [i13]Yuru Xiao, Deming Zhai, Wenbo Zhao, Kui Jiang, Junjun Jiang, Xianming Liu:
MCGS: Multiview Consistency Enhancement for Sparse-View 3D Gaussian Radiance Fields. CoRR abs/2410.11394 (2024) - [i12]Kai Wang, Yuanchao Bai, Daxin Li, Deming Zhai, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Volumetric Medical Image. CoRR abs/2410.17814 (2024) - 2023
- [j20]Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. J. Mach. Learn. Res. 24: 376:1-376:62 (2023) - [j19]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8094-8109 (2023) - [j18]Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12394-12407 (2023) - [j17]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. IEEE Trans. Biom. Behav. Identity Sci. 5(4): 435-448 (2023) - [j16]Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. IEEE Trans. Image Process. 32: 4114-4127 (2023) - [c32]Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Medical Imaging. ICME 2023: 2549-2554 - [i11]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. CoRR abs/2304.02923 (2023) - [i10]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR abs/2305.18384 (2023) - [i9]Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. CoRR abs/2312.07841 (2023) - 2022
- [j15]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) - [j14]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) - [c31]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CVPR 2022: 15324-15333 - [c30]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards The Largest Margins. ICLR 2022 - [c29]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. ICML 2022: 27245-27267 - [c28]Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu:
Hybrid Conditional Deep Inverse Tone Mapping. ACM Multimedia 2022: 1016-1024 - [c27]Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu:
ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. ACM Multimedia 2022: 1358-1366 - [i8]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) - [i7]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards the Largest Margins. CoRR abs/2206.11589 (2022) - [i6]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
- [c26]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. ICCV 2021: 72-81 - [c25]Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu:
Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. ACM Multimedia 2021: 5335-5343 - [i5]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. CoRR abs/2108.00192 (2021) - 2020
- [j13]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) - [j12]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) - [c24]Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu:
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. ICASSP 2020: 2518-2522 - [c23]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. ICASSP 2020: 2668-2672 - [c22]Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang:
Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. ICIP 2020: 2366-2370 - [c21]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. ACM Multimedia 2020: 375-383 - [i4]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. CoRR abs/2003.01947 (2020) - [i3]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) - [i2]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. CoRR abs/2006.05049 (2020) - [i1]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Unsupervised Constrative Person Re-identification. CoRR abs/2010.07608 (2020)
2010 – 2019
- 2019
- [j11]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) - [j10]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) - [j9]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) - [c20]He Sun, Zhiwei Zhong, Deming Zhai, Xianming Liu, Junjun Jiang:
Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network. IFTC 2019: 49-61 - [c19]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 - 2018
- [j8]Yang Li, Yang Liu, GuoJun Liu, Deming Zhai, Maozu Guo:
Weakly supervised semantic segmentation based on EM algorithm with localization clues. Neurocomputing 275: 2574-2587 (2018) - [j7]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) - [j6]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) - [c18]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 - [c17]Deming Zhai, Xianming Lu, Xiangyang Ji, Yuanchao Bai, Debin Zhao, Wen Gao:
Robust Contrast Enhancement via Graph-Based Cartoon-Texture Decomposition. ICME 2018: 1-6 - [c16]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 - [c15]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 - [c14]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 - 2017
- [j5]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) - [c13]Rong Chen, Xianming Liu, Deming Zhai, Debin Zhao:
Depth Image Denoising via Collaborative Graph Fourier Transform. IFTC 2017: 128-137 - 2016
- [j4]Xianming Liu, Deming Zhai, Jiantao Zhou, Xinfeng Zhang, Debin Zhao, Wen Gao:
Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication. IEEE Trans. Image Process. 25(6): 2844-2855 (2016) - 2015
- [j3]Deming Zhai, Yu Zhang, Dit-Yan Yeung, Hong Chang, Xilin Chen, Wen Gao:
Instance-specific canonical correlation analysis. Neurocomputing 155: 205-218 (2015) - [c12]Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao:
Sparsity-based joint gaze correction and face beautification for conferencing video. VCIP 2015: 1-4 - 2014
- [j2]Xianming Liu, Deming Zhai, Debin Zhao, Guangtao Zhai, Wen Gao:
Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework. IEEE Trans. Image Process. 23(4): 1491-1503 (2014) - [c11]Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao, Hiroshi Sankoh, Sei Naito:
Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding. ICIP 2014: 4697-4701 - 2013
- [c10]Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao:
Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. DCC 2013: 93-102 - [c9]Deming Zhai, Xianming Liu, Debin Zhao, Hong Chang, Wen Gao:
Progressive Image Restoration through Hybrid Graph Laplacian Regularization. DCC 2013: 103-112 - [c8]Deming Zhai, Hong Chang, Xilin Chen, Wen Gao:
Instance-specific canonical correlation analysis for pose alignment. ICIP 2013: 2544-2547 - [c7]Deming Zhai, Xianming Liu, Jiantao Zhou, Debin Zhao, Wen Gao:
Spatial error concealment via model based coupled sparse representation. ICME Workshops 2013: 1-4 - [c6]Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao:
Parametric Local Multimodal Hashing for Cross-View Similarity Search. IJCAI 2013: 2754-2760 - 2012
- [j1]Deming Zhai, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao:
Multiview Metric Learning with Global Consistency and Local Smoothness. ACM Trans. Intell. Syst. Technol. 3(3): 53:1-53:22 (2012) - [c5]Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Ruiqin Xiong, Wen Gao:
Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. DCC 2012: 169-178 - [c4]Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Wen Gao:
Web image interpolation via weighted total least squares regression. ICASSP 2012: 925-928 - 2011
- [c3]Xianming Liu, Deming Zhai, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao:
Side information extrapolation with temporal and spatial consistency. ISCAS 2011: 2918-2921 - 2010
- [c2]Deming Zhai, Bo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao:
Manifold Alignment via Corresponding Projections. BMVC 2010: 1-11
2000 – 2009
- 2009
- [c1]Deming Zhai, Hong Chang, Bo Li, Shiguang Shan, Xilin Chen, Wen Gao:
Semi-Supervised Discriminant Analysis via Spectral Transduction. BMVC 2009: 1-12
Coauthor Index
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last updated on 2024-12-01 01:13 CET by the dblp team
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