Ding, Xinghao

34 publications

AAAI 2025 AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-Free Real-World Low-Light Image Enhancement Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Wenxue Li, Lei Zhu, Xinghao Ding

ICCV 2025 ASGS: Single-Domain Generalizable Open-Set Object Detection via Adaptive Subgraph Searching Yuxuan Yuan, Luyao Tang, Yixin Chen, Chaoqi Chen, Yue Huang, Xinghao Ding

AAAI 2025 Accelerated Diffusion via High-Low Frequency Decomposition for Pan-Sharpening Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding

AISTATS 2025 Bayesian Gaussian Process ODEs via Double Normalizing Flows Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, Delu Zeng, John Paisley

AAAI 2025 DPLUT: Unsupervised Low-Light Image Enhancement with Lookup Tables and Diffusion Priors Yunlong Lin, Zhenqi Fu, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Chui Kong, Yue Huang, Xiaotong Tu, Xinghao Ding

ICML 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding, Yue Huang

ICCV 2025 Dissecting Generalized Category Discovery: Multiplex Consensus Under Self-Deconstruction Luyao Tang, Kunze Huang, Chaoqi Chen, Yuxuan Yuan, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang

NeurIPS 2025 DynamicVerse: A Physically-Aware Multimodal Framework for 4D World Modeling Kairun Wen, Yuzhihuang, Runyu Chen, Hui Zheng, Yunlong Lin, Panwang Pan, Chenxin Li, Wenyan Cong, Jian Zhang, Junbin Lu, Chenguo Lin, Dilin Wang, Zhicheng Yan, Hongyu Xu, Justin Theiss, Yue Huang, Xinghao Ding, Rakesh Ranjan, Zhiwen Fan

NeurIPS 2025 FRN: Fractal-Based Recursive Spectral Reconstruction Network Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding

NeurIPS 2025 JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent Yunlong Lin, ZiXu Lin, Kunjie Lin, Jinbin Bai, Panwang Pan, Chenxin Li, Haoyu Chen, Zhongdao Wang, Xinghao Ding, Wenbo Li, Shuicheng Yan

CVPR 2025 JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration Yunlong Lin, Zixu Lin, Haoyu Chen, Panwang Pan, Chenxin Li, Sixiang Chen, Kairun Wen, Yeying Jin, Wenbo Li, Xinghao Ding

NeurIPS 2025 Pan-LUT: Efficient Pan-Sharpening via Learnable Look-up Tables Zhongnan Cai, Yingying Wang, Hui Zheng, Panwang Pan, ZiXu Lin, Ge Meng, Chenxin Li, Chunming He, Jiaxin Xie, Yunlong Lin, Junbin Lu, Yue Huang, Xinghao Ding

AAAI 2025 Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding

CVPR 2025 Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline Yuzhi Huang, Chenxin Li, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang, Xinghao Ding, Yixuan Yuan

AAAI 2024 Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang

AAAI 2024 Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu

CVPR 2023 Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma

AAAI 2023 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley

ECCV 2022 Knowledge Condensation Distillation Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao

ECCV 2022 Uncertainty Inspired Underwater Image Enhancement Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma

AAAI 2022 Unsupervised Underwater Image Restoration: From a Homology Perspective Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding

ICCV 2021 Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

CVPR 2021 I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu

IJCAI 2021 Noise2Grad: Extract Image Noise to Denoise Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu

AAAI 2021 Rain Streak Removal via Dual Graph Convolutional Network Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding

ICCV 2021 TRAR: Routing the Attention Spans in Transformer for Visual Question Answering Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji

ECCV 2018 A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John Paisley

AAAI 2018 Compressed Sensing MRI Using a Recursive Dilated Network Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley

IJCAI 2018 MEnet: A Metric Expression Network for Salient Object Segmentation Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley

ICCV 2017 PanNet: A Deep Network Architecture for Pan-Sharpening Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John Paisley

CVPR 2017 Removing Rain from Single Images via a Deep Detail Network Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John Paisley

CVPR 2016 A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang, Xinghao Ding

ICCV 2015 Pan-Sharpening with a Hyper-Laplacian Penalty Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John Paisley

AISTATS 2014 Pan-Sharpening with a Bayesian Nonparametric Dictionary Learning Model Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley