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Deming Zhai
- > Home > Persons > Deming Zhai
Publications
- 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) - [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
- [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 - [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 - [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) - 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) - 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) - [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
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