Jie Hu

According to our database, Jie Hu authored at least 39 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Beyond Textual CoT: Interleaved Text-Image Chains with Deep Confidence Reasoning for Image Editing.

Zhentao Zou, Zhengrong Yue, Kunpeng Du, Binlei Bao, Hanting Li, Haizhen Xie, Guozheng Xu, Yue Zhou, Yali Wang, Jie Hu, Xue Jiang, Xinghao Chen

CoRR, October, 2025

RDDM: Practicing RAW Domain Diffusion Model for Real-world Image Restoration.

Yan Chen, Yi Wen, Wei Li, Junchao Liu, Yong Guo, Jie Hu, Xinghao Chen

CoRR, August, 2025

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models.

Zhijun Tu, Hanting Chen, Siqi Liu, Chuanjian Liu, Jian Li, Jie Hu, Yunhe Wang

CoRR, August, 2025

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought.

Junbo Qiao, Miaomiao Cai, Wei Li, Yutong Liu, Xudong Huang, Gaoqi He, Jiao Xie, Jie Hu, Xinghao Chen, Shaohui Lin

CoRR, June, 2025

One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation.

Xue Wu, Jingwei Xin, Zhijun Tu, Jie Hu, Jie Li, Nannan Wang, Xinbo Gao

CoRR, June, 2025

DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution.

Miaomiao Cai, Simiao Li, Wei Li, Xudong Huang, Hanting Chen, Jie Hu, Yunhe Wang

CoRR, April, 2025

Autoregressive Image Generation Guided by Chains of Thought.

Miaomiao Cai, Guanjie Wang, Wei Li, Zhijun Tu, Hanting Chen, Shaohui Lin, Jie Hu

CoRR, February, 2025

LIPT: Latency-Aware Image Processing Transformer.

Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Jie Hu, Shaohui Lin, Jungong Han

IEEE Trans. Image Process., 2025

DCS-RISR: Dynamic channel splitting for efficient real-world image super-resolution.

Junbo Qiao, Shaohui Lin, Yulun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma

Neural Networks, 2025

SaD: A Scenario-Aware Discriminator for Speech Enhancement.

Xihao Yuan, Siqi Liu, Yan Chen, Hang Zhou, Chang Liu, Hanting Chen, Jie Hu

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts.

Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution.

Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution.

Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CBQ: Cross-Block Quantization for Large Language Models.

Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration.

Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Effective Diffusion Transformer Architecture for Image Super-Resolution.

Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization.

Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution.

Junbo Qiao, Jincheng Liao, Wei Li, Yulun Zhang, Yong Guo, Yi Wen, Zhangxizi Qiu, Jiao Xie, Jie Hu, Shaohui Lin

CoRR, 2024

Learning Quantized Adaptive Conditions for Diffusion Models.

Yuchen Liang, Yuchuan Tian, Lei Yu, Huao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

CoRR, 2024

One Step Diffusion-based Super-Resolution with Time-Aware Distillation.

Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

CoRR, 2024

Multi-Granularity Semantic Revision for Large Language Model Distillation.

Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang, Hanting Chen, Yehui Tang, Jie Hu, Zhiwei Xiong, Yunhe Wang

CoRR, 2024

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation.

Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang

CoRR, 2024

Collaboration of Teachers for Semi-supervised Object Detection.

Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen, Wei Li, Junchao Liu, Jie Hu

CoRR, 2024

LIPT: Latency-aware Image Processing Transformer.

Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin

CoRR, 2024

IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions.

Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang

CoRR, 2024

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.

Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PQ-SAM: Post-training Quantization for Segment Anything Model.

Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Quantized Adaptive Conditions for Diffusion Models.

Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Distilling Semantic Priors from SAM to Efficient Image Restoration Models.

Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GenDet: Towards Good Generalizations for AI-Generated Image Detection.

Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang

CoRR, 2023

IFT: Image Fusion Transformer for Ghost-free High Dynamic Range Imaging.

Hailing Wang, Wei Li, Yuanyuan Xi, Jie Hu, Hanting Chen, Longyu Li, Yunhe Wang

CoRR, 2023

Data Upcycling Knowledge Distillation for Image Super-Resolution.

Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang

CoRR, 2023

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.

Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toward Accurate Post-Training Quantization for Image Super Resolution.

Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Image Denoising: Methods and Results.

Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis.

Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution.

Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma

CoRR, 2022

ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising.

Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

LODE: Deep Local Deblurring and A New Benchmark.

Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding

CoRR, 2021