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Jie Hu 0021
Person information
- affiliation: Huawei Noah's Ark Lab
Other persons with the same name
- Jie Hu — disambiguation page
- Jie Hu 0001
— University of Electronic Science and Technology of China, Chengdu (and 1 more)
- Jie Hu 0002
- Jie Hu 0003 — Tsinghua University, Department of Automation, State Key Lab of Intelligent Technologies and Systems, Beijing
- Jie Hu 0004 — Shenzhen University, Shenzhen Key Laboratory of Spatial Information Smarting Sensing and Services, China
- Jie Hu 0005 — University of California, Irvine, CA, USA
- Jie Hu 0006 — Hubei University, Wuhan, China (and 2 more)
- Jie Hu 0007
- Jie Hu 0008 — State University of New York at Buffalo, NY, USA
- Jie Hu 0009 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China (and 1 more)
- Jie Hu 0010 — Tohoku University, Sendai, Japan
- Jie Hu 0011 — The University of Texas at Dallas, Richardson, TX, USA
- Jie Hu 0012 — Sun Yat-Sen University, Guangzhou, China
- Jie Hu 0013
- Jie Hu 0014 — Zheijiang University, College of Electrical Engineering, Hangzhou, China
- Jie Hu 0015 — Fudan University, ZhongShan Hospital, Shanghai, China
- Jie Hu 0016
- Jie Hu 0017 — University of Southampton, UK
- Jie Hu 0018
- Jie Hu 0019
- Jie Hu 0020
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2020 – today
- 2024
- [c6]Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang:
Distilling Semantic Priors from SAM to Efficient Image Restoration Models. CVPR 2024: 25409-25419 - [c5]Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen:
Learning Quantized Adaptive Conditions for Diffusion Models. ECCV (81) 2024: 358-374 - [i18]Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang:
Distilling Semantic Priors from SAM to Efficient Image Restoration Models. CoRR abs/2403.16368 (2024) - [i17]Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang:
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. CoRR abs/2404.00633 (2024) - [i16]Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu:
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. CoRR abs/2404.02573 (2024) - [i15]Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin:
LIPT: Latency-aware Image Processing Transformer. CoRR abs/2404.06075 (2024) - [i14]Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang:
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. CoRR abs/2405.02730 (2024) - [i13]Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen, Wei Li, Junchao Liu, Jie Hu:
Collaboration of Teachers for Semi-supervised Object Detection. CoRR abs/2405.13374 (2024) - [i12]Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu:
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. CoRR abs/2406.16531 (2024) - [i11]Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang:
Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation. CoRR abs/2407.00676 (2024) - [i10]Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang, Hanting Chen, Yehui Tang, Jie Hu, Zhiwei Xiong, Yunhe Wang:
Multi-Granularity Semantic Revision for Large Language Model Distillation. CoRR abs/2407.10068 (2024) - [i9]Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
One Step Diffusion-based Super-Resolution with Time-Aware Distillation. CoRR abs/2408.07476 (2024) - [i8]Yuchen Liang, Yuchuan Tian, Lei Yu, Huao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen:
Learning Quantized Adaptive Conditions for Diffusion Models. CoRR abs/2409.17487 (2024) - [i7]Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
Effective Diffusion Transformer Architecture for Image Super-Resolution. CoRR abs/2409.19589 (2024) - 2023
- [c4]Yawei Li
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops 2023: 1905-1921 - [c3]Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang:
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR 2023: 5856-5865 - [c2]Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang:
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. CVPR 2023: 8244-8253 - [c1]Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang:
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. NeurIPS 2023 - [i6]Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang:
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. CoRR abs/2306.08571 (2023) - [i5]Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang:
Data Upcycling Knowledge Distillation for Image Super-Resolution. CoRR abs/2309.14162 (2023) - [i4]Hailing Wang, Wei Li, Yuanyuan Xi, Jie Hu, Hanting Chen, Longyu Li, Yunhe Wang:
IFT: Image Fusion Transformer for Ghost-free High Dynamic Range Imaging. CoRR abs/2309.15019 (2023) - [i3]Xin Ding, Xiaoyu Liu, Yun Zhang, Zhijun Tu, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang:
CBQ: Cross-Block Quantization for Large Language Models. CoRR abs/2312.07950 (2023) - [i2]Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang:
GenDet: Towards Good Generalizations for AI-Generated Image Detection. CoRR abs/2312.08880 (2023) - 2022
- [i1]Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma:
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution. CoRR abs/2212.07613 (2022)
Coauthor Index
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