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ORCIDJie Liang 0007
Person information
- affiliation: Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation: Nankai University, College of Computer Science and Control Engineering,, Tianjin, China
Other persons with the same name
- Jie Liang — disambiguation page
- Jie Liang 0001
![[0000-0003-3003-4343]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-3003-4343")
— Simon Fraser University, School of Engineering Science, Burnaby, BC, Canada (and 2 more) - Jie Liang 0002 — University of Illinois at Chicago, Department of Bioengineering, IL, USA
- Jie Liang 0003 — China Aerodynamics Research and Development Center, Sichuan, China (and 1 more)
- Christy Jie Liang (aka: Jie Liang 0004) — University of Technology Sydney, Department of Engineering and Information Technology, NSW, Australia (and 1 more)
- Jie Liang 0005 — Northeastern University, Department of Software, Shenyang, China
- Jie Liang 0006 — Tsinghua University, KLISS, BNRist, School of Software, China
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2020 – today
- 2024
[j8]Lingchen Sun, Jie Liang, Shuaizheng Liu, Hongwei Yong, Lei Zhang:
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective. IEEE Trans. Image Process. 33: 4444-4458 (2024)- [c13]Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li:
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CVPR Workshops 2024: 6632-6640 - [c12]Du Chen, Zhengqiang Zhang, Jie Liang, Lei Zhang:
SSL: A Self-similarity Loss for Improving Generative Image Super-resolution. ACM Multimedia 2024: 3189-3198 - [i11]Tianhe Wu, Kede Ma, Jie Liang, Yujiu Yang, Lei Zhang:
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment. CoRR abs/2403.10854 (2024) - [i10]Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang:
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CoRR abs/2405.09923 (2024) - [i9]Du Chen, Zhengqiang Zhang, Jie Liang, Lei Zhang:
SSL: A Self-similarity Loss for Improving Generative Image Super-resolution. CoRR abs/2408.05713 (2024) - 2023
- [j7]Tinglei Feng, Yingjie Zhai, Jufeng Yang, Jie Liang, Deng-Ping Fan, Jing Zhang, Ling Shao, Dacheng Tao:
IC9600: A Benchmark Dataset for Automatic Image Complexity Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8577-8593 (2023) - [c11]Du Chen, Jie Liang, Xindong Zhang, Ming Liu, Hui Zeng, Lei Zhang:
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution. CVPR 2023: 14082-14091 - [i8]Du Chen, Jie Liang, Xindong Zhang, Ming Liu, Hui Zeng, Lei Zhang:
Human Guided Ground-truth Generation for Realistic Image Super-resolution. CoRR abs/2303.13069 (2023) - [i7]Xinyi Liu, Qian Zhao, Jie Liang, Hui Zeng, Deyu Meng, Lei Zhang:
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion. CoRR abs/2312.08853 (2023) - [i6]Lingchen Sun, Jie Liang, Shuaizheng Liu, Hongwei Yong, Lei Zhang:
Perception-Distortion Balanced Super-Resolution: A Multi-Objective Optimization Perspective. CoRR abs/2312.15408 (2023) - 2022
- [c10]Jie Liang, Hui Zeng, Lei Zhang:
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution. CVPR 2022: 5647-5656 - [c9]Jie Liang, Hui Zeng, Lei Zhang:
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution. ECCV (18) 2022: 574-591 - [i5]Jie Liang, Hui Zeng, Lei Zhang:
Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution. CoRR abs/2203.09195 (2022) - [i4]Jie Liang, Hui Zeng, Lei Zhang:
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution. CoRR abs/2203.14216 (2022) - 2021
- [j6]Xingxu Yao, Sicheng Zhao, Yu-Kun Lai, Dongyu She, Jie Liang, Jufeng Yang:
APSE: Attention-Aware Polarity-Sensitive Embedding for Emotion-Based Image Retrieval. IEEE Trans. Multim. 23: 4469-4482 (2021) - [c8]Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie, Lei Zhang:
PPR10K: A Large-Scale Portrait Photo Retouching Dataset With Human-Region Mask and Group-Level Consistency. CVPR 2021: 653-661 - [c7]Jie Liang, Hui Zeng, Lei Zhang:
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. CVPR 2021: 9392-9400 - [i3]Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie, Lei Zhang:
PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency. CoRR abs/2105.09180 (2021) - [i2]Jie Liang, Hui Zeng, Lei Zhang:
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. CoRR abs/2105.09188 (2021) - 2020
- [j5]Jufeng Yang, Jie Liang, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang:
Subspace Clustering via Good Neighbors. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1537-1544 (2020) - [j4]Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Self-Paced Balance Learning for Clinical Skin Disease Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2832-2846 (2020)
2010 – 2019
- 2019
- [j3]Jufeng Yang, Yan Sun, Jie Liang, Bo Ren, Shang-Hong Lai:
Image captioning by incorporating affective concepts learned from both visual and textual components. Neurocomputing 328: 56-68 (2019) - [j2]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship. IEEE Trans. Image Process. 28(8): 3973-3985 (2019) - [c6]Xingxu Yao, Dongyu She, Sicheng Zhao, Jie Liang, Yu-Kun Lai, Jufeng Yang:
Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval. ICCV 2019: 1140-1150 - [c5]Xiaoping Wu, Ni Wen, Jie Liang, Yu-Kun Lai, Dongyu She, Ming-Ming Cheng, Jufeng Yang:
Joint Acne Image Grading and Counting via Label Distribution Learning. ICCV 2019: 10641-10650 - [i1]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship. CoRR abs/1901.07689 (2019) - 2018
- [j1]Jufeng Yang, Jie Liang, Hui Shen, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang:
Dynamic Match Kernel With Deep Convolutional Features for Image Retrieval. IEEE Trans. Image Process. 27(11): 5288-5302 (2018) - [c4]Jufeng Yang, Jie Liang, Kai Wang, Yong-Liang Yang, Ming-Ming Cheng:
Automatic Model Selection in Subspace Clustering via Triplet Relationships. AAAI 2018: 4358-4365 - [c3]Jufeng Yang, Yan Sun, Jie Liang, Yong-Liang Yang, Ming-Ming Cheng:
Understanding Image Impressiveness Inspired by Instantaneous Human Perceptual Cues. AAAI 2018: 7469-7476 - [c2]Jufeng Yang, Xiaoxiao Sun, Jie Liang, Paul L. Rosin:
Clinical Skin Lesion Diagnosis Using Representations Inspired by Dermatologist Criteria. CVPR 2018: 1258-1266 - [c1]Jie Liang, Jufeng Yang, Hsin-Ying Lee, Kai Wang, Ming-Hsuan Yang:
Sub-GAN: An Unsupervised Generative Model via Subspaces. ECCV (11) 2018: 726-743
Coauthor Index
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