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ORCIDYing Fu 0001
Person information
- affiliation: Beijing Institute of Technology, School of Computer Science and Technology, China
- affiliation (PhD 2015): University of Tokyo, Japan
Other persons with the same name
- Ying Fu — disambiguation page
- Ying Fu 0002
![[0000-0001-5211-8930]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5211-8930")
— Sinotech Genomics Inc, Department of Research and Development, Shanghai, China - Ying Fu 0003 — Chengdu University of Information Technology, Department of Computer Science, China
- Ying Fu 0004 — Huaqiao University, School of Information Science and Engineering, Xiamen, China
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2020 – today
- 2025
[j53]Yunhao Zou, Ying Fu, Tsuyoshi Takatani, Yinqiang Zheng:
EventHDR: From Event to High-Speed HDR Videos and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 32-50 (2025)- [j52]Miaoyu Li, Ying Fu, Tao Zhang, Ji Liu, Dejing Dou, Chenggang Yan, Yulun Zhang:
Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 549-564 (2025) - 2024
- [j51]Tao Zhang, Ying Fu, Liwei Huang, Siyuan Li, Shaodi You, Chenggang Yan:
RGB-guided hyperspectral image super-resolution with deep progressive learning. CAAI Trans. Intell. Technol. 9(3): 679-694 (2024) - [j50]Weijia Wu, Yuanqiang Cai, Chunhua Shen, Debing Zhang, Ying Fu, Hong Zhou, Ping Luo:
End-to-End Video Text Spotting with Transformer. Int. J. Comput. Vis. 132(9): 4019-4035 (2024) - [j49]Qiankun Liu, Yuqi Jiang, Zhentao Tan, Dongdong Chen, Ying Fu, Qi Chu, Gang Hua, Nenghai Yu:
Transformer Based Pluralistic Image Completion With Reduced Information Loss. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6652-6668 (2024) - [j48]Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang:
Frequency-Aware Feature Fusion for Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10763-10780 (2024) - [j47]Liwei Huang, Bitao Jiang, Shouye Lv, Yanbo Liu, Ying Fu:
Deep-Learning-Based Semantic Segmentation of Remote Sensing Images: A Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8370-8396 (2024) - [j46]Ying Fu, Yang Hong, Yunhao Zou, Qiankun Liu, Yiming Zhang, Ning Liu, Chenggang Yan:
Raw Image Based Over-Exposure Correction Using Channel-Guidance Strategy. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2749-2762 (2024) - [j45]Ying Fu, Hongrong Liu, Yunhao Zou, Shuai Wang, Zhongxiang Li, Dezhi Zheng:
Category-Level Band Learning-Based Feature Extraction for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j44]Qiankun Liu, Yichen Li, Yuqi Jiang, Ying Fu:
Siamese-DETR for Generic Multi-Object Tracking. IEEE Trans. Image Process. 33: 3935-3949 (2024) - [j43]Xingru Huang, Jian Huang, Kai Zhao, Tianyun Zhang, Zhi Li, Changpeng Yue, Wenhao Chen, Ruihao Wang, Xuanbin Chen, Qianni Zhang, Ying Fu, Yangyundou Wang, Yihao Guo:
SASAN: Spectrum-Axial Spatial Approach Networks for Medical Image Segmentation. IEEE Trans. Medical Imaging 43(8): 3044-3056 (2024) - [j42]Yuqi Jiang, Qiankun Liu, Dongdong Chen, Lu Yuan, Ying Fu:
AnimeDiff: Customized Image Generation of Anime Characters Using Diffusion Model. IEEE Trans. Multim. 26: 10559-10572 (2024) - [c65]Xinzhe Wang, Kang Ma, Qiankun Liu, Yunhao Zou, Ying Fu:
Multi-Object Tracking in the Dark. CVPR 2024: 382-392 - [c64]Kang Ma, Ying Fu, Chunshui Cao, Saihui Hou, Yongzhen Huang, Dezhi Zheng:
Learning Visual Prompt for Gait Recognition. CVPR 2024: 593-603 - [c63]Tianqi Ren, Qiu Shen, Ying Fu, Shaodi You:
Point-Supervised Semantic Segmentation of Natural Scenes via Hyperspectral Imaging. CVPR Workshops 2024: 1357-1367 - [c62]Fan Zhang, Shaodi You, Yu Li, Ying Fu:
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion. CVPR 2024: 11852-11861 - [c61]Qiankun Liu, Rui Liu, Bolun Zheng, Hongkui Wang, Ying Fu:
Infrared Small Target Detection with Scale and Location Sensitivity. CVPR 2024: 17490-17499 - [c60]Gengchen Zhang, Yulun Zhang, Xin Yuan, Ying Fu:
Binarized Low-Light Raw Video Enhancement. CVPR 2024: 25753-25762 - [c59]Zongliang Wu, Ruiying Lu, Ying Fu, Xin Yuan:
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging. ECCV (33) 2024: 164-181 - [c58]Linwei Chen, Lin Gu, Ying Fu:
When Semantic Segmentation Meets Frequency Aliasing. ICLR 2024 - [i46]Yingping Liang, Ying Fu:
CascadeV-Det: Cascade Point Voting for 3D Object Detection. CoRR abs/2401.07477 (2024) - [i45]Linwei Chen, Lin Gu, Ying Fu:
Frequency-Adaptive Dilated Convolution for Semantic Segmentation. CoRR abs/2403.05369 (2024) - [i44]Linwei Chen, Lin Gu, Ying Fu:
When Semantic Segmentation Meets Frequency Aliasing. CoRR abs/2403.09065 (2024) - [i43]Qiankun Liu, Rui Liu, Bolun Zheng, Hongkui Wang, Ying Fu:
Infrared Small Target Detection with Scale and Location Sensitivity. CoRR abs/2403.19366 (2024) - [i42]Gengchen Zhang, Yulun Zhang, Xin Yuan, Ying Fu:
Binarized Low-light Raw Video Enhancement. CoRR abs/2403.19944 (2024) - [i41]Qiankun Liu, Yuqi Jiang, Zhentao Tan, Dongdong Chen, Ying Fu, Qi Chu, Gang Hua, Nenghai Yu:
Transformer based Pluralistic Image Completion with Reduced Information Loss. CoRR abs/2404.00513 (2024) - [i40]Xinzhe Wang, Kang Ma, Qiankun Liu, Yunhao Zou, Ying Fu:
Multi-Object Tracking in the Dark. CoRR abs/2405.06600 (2024) - [i39]Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang:
Technique Report of CVPR 2024 PBDL Challenges. CoRR abs/2406.10744 (2024) - [i38]Hesong Li, Ying Fu:
FCDFusion: a Fast, Low Color Deviation Method for Fusing Visible and Infrared Image Pairs. CoRR abs/2408.01080 (2024) - [i37]Linwei Chen, Ying Fu, Lin Gu, Chenggang Yan, Tatsuya Harada, Gao Huang:
Frequency-aware Feature Fusion for Dense Image Prediction. CoRR abs/2408.12879 (2024) - [i36]Yunhao Zou, Ying Fu, Tsuyoshi Takatani, Yinqiang Zheng:
EventHDR: from Event to High-Speed HDR Videos and Beyond. CoRR abs/2409.17029 (2024) - [i35]Peihua Deng, Jiehua Zhang, Xichun Sheng, Chenggang Yan, Yaoqi Sun, Ying Fu, Liang Li:
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation. CoRR abs/2411.16064 (2024) - 2023
- [j41]Linwei Chen, Ying Fu, Kaixuan Wei, Dezhi Zheng, Felix Heide:
Instance Segmentation in the Dark. Int. J. Comput. Vis. 131(8): 2198-2218 (2023) - [j40]Tao Zhang, Ying Fu, Debing Zhang, Chun Hu:
Deep external and internal learning for noisy compressive sensing. Neurocomputing 531: 61-73 (2023) - [j39]Ying Fu, Zheng Fang, Linwei Chen, Tao Song, Defu Lin:
Level-Aware Consistent Multilevel Map Translation From Satellite Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j38]Zhiyuan Liang, Shuai Wang, Tao Zhang, Ying Fu:
Blind Super-Resolution of Single Remotely Sensed Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j37]Ying Fu, Zichun Wang, Tao Zhang, Jun Zhang:
Low-Light Raw Video Denoising With a High-Quality Realistic Motion Dataset. IEEE Trans. Multim. 25: 8119-8131 (2023) - [j36]Zeqiang Lai, Kaixuan Wei, Ying Fu, Philipp Härtel, Felix Heide:
∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization. ACM Trans. Graph. 42(4): 105:1-105:19 (2023) - [c57]Miaoyu Li, Ying Fu, Yulun Zhang:
Spatial-Spectral Transformer for Hyperspectral Image Denoising. AAAI 2023: 1368-1376 - [c56]Yichen Li, Qiankun Liu, Xiaoyong Wang, Ying Fu:
Sliding Window Detection and Distance-Based Matching for Tracking on Gigapixel Images. CICAI (1) 2023: 53-65 - [c55]Jianan Wang, Hesong Li, Xiaoyong Wang, Ying Fu:
3D-B2U: Self-supervised Fluorescent Image Sequences Denoising. CICAI (1) 2023: 130-142 - [c54]Binfeng Wang, Yunhao Zou, Zhijie Gao, Ying Fu:
Lightweight Rolling Shutter Image Restoration Network Based on Undistorted Flow. CICAI (1) 2023: 195-206 - [c53]Rui Liu, Qiankun Liu, Xiaoyong Wang, Ying Fu:
GLCANet: Context Attention for Infrared Small Target Detection. CICAI (1) 2023: 244-255 - [c52]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CVPR 2023: 5805-5814 - [c51]Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang:
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. CVPR 2023: 18156-18165 - [c50]Kang Ma, Ying Fu, Dezhi Zheng, Chunshui Cao, Xuecai Hu, Yongzhen Huang:
Dynamic Aggregated Network for Gait Recognition. CVPR 2023: 22076-22085 - [c49]Kang Ma, Ying Fu, Dezhi Zheng, Yunjie Peng, Chunshui Cao, Yongzhen Huang:
Fine-grained Unsupervised Domain Adaptation for Gait Recognition. ICCV 2023: 11279-11288 - [c48]Yunhao Zou, Chenggang Yan, Ying Fu:
RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image. ICCV 2023: 12300-12310 - [c47]Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang:
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. ICCV 2023: 12913-12922 - [c46]Zeqiang Lai, Chenggang Yan, Ying Fu:
Hybrid Spectral Denoising Transformer with Guided Attention. ICCV 2023: 13019-13029 - [c45]Fan Zhang, Shaodi You, Yu Li, Ying Fu:
Learning Rain Location Prior for Nighttime Deraining. ICCV 2023: 13102-13111 - [c44]Yunhao Zou, Chenggang Yan, Ying Fu:
Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising. ICCV 2023: 13219-13228 - [c43]Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu:
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. ICCV 2023: 13811-13822 - [c42]Yuqi Jiang, Qiankun Liu, Yichen Li, Hao Jia, Ying Fu:
Exploiting Diffusion Model as Prompt Generator for Object Localization. IFTC (2) 2023: 284-296 - [c41]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. ACM Multimedia 2023: 7363-7372 - [c40]Taoying Zhang, Hesong Li, Qiankun Liu, Xiaoyong Wang, Ying Fu:
MGT: Modality-Guided Transformer for Infrared and Visible Image Fusion. PRCV (1) 2023: 321-332 - [i34]Zeqiang Lai, Ying Fu:
Mixed Attention Network for Hyperspectral Image Denoising. CoRR abs/2301.11525 (2023) - [i33]Zeqiang Lai, Ying Fu, Jun Zhang:
Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance. CoRR abs/2302.06298 (2023) - [i32]Zeqiang Lai, Ying Fu:
Hybrid Spectral Denoising Transformer with Learnable Query. CoRR abs/2303.09040 (2023) - [i31]Zichun Wang, Ying Fu, Ji Liu, Yulun Zhang:
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising. CoRR abs/2304.00534 (2023) - [i30]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CoRR abs/2304.00844 (2023) - [i29]Linwei Chen, Ying Fu, Kaixuan Wei, Dezhi Zheng, Felix Heide:
Instance Segmentation in the Dark. CoRR abs/2304.14298 (2023) - [i28]Zeqiang Lai, Yuchen Duan, Jifeng Dai, Ziheng Li, Ying Fu, Hongsheng Li, Yu Qiao, Wenhai Wang:
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling. CoRR abs/2306.01721 (2023) - [i27]Zichun Wang, Yulun Zhang, Debing Zhang, Ying Fu:
Recurrent Self-Supervised Video Denoising with Denser Receptive Field. CoRR abs/2308.03608 (2023) - [i26]Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang:
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. CoRR abs/2308.10820 (2023) - [i25]Yunhao Zou, Chenggang Yan, Ying Fu:
RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image. CoRR abs/2309.02020 (2023) - [i24]Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu:
MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. CoRR abs/2309.06714 (2023) - [i23]Qiankun Liu, Yichen Li, Yuqi Jiang, Ying Fu:
Siamese-DETR for Generic Multi-Object Tracking. CoRR abs/2310.17875 (2023) - [i22]Fan Zhang, Shaodi You, Yu Li, Ying Fu:
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion. CoRR abs/2312.12471 (2023) - 2022
- [j35]Ye Tian, Ying Fu, Jun Zhang:
Plug-and-Play algorithm for under-sampling Fourier single-pixel imaging. Sci. China Inf. Sci. 65(10) (2022) - [j34]Tao Zhang, Ying Fu, Jun Zhang:
Guided Hyperspectral Image Denoising with Realistic Data. Int. J. Comput. Vis. 130(11): 2885-2901 (2022) - [j33]Zeqiang Lai, Kaixuan Wei, Ying Fu:
Deep plug-and-play prior for hyperspectral image restoration. Neurocomputing 481: 281-293 (2022) - [j32]Linwei Chen, Ying Fu, Shaodi You, Hongzhe Liu:
Hybrid supervised instance segmentation by learning label noise suppression. Neurocomputing 496: 131-146 (2022) - [j31]Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu:
Dynamic proximal unrolling network for compressive imaging. Neurocomputing 510: 203-217 (2022) - [j30]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb:
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems. J. Mach. Learn. Res. 23: 16:1-16:48 (2022) - [j29]Tao Zhang, Zhiyuan Liang, Ying Fu:
Joint Spatial-Spectral Pattern Optimization and Hyperspectral Image Reconstruction. IEEE J. Sel. Top. Signal Process. 16(4): 636-648 (2022) - [j28]Yongrong Zheng, Tao Zhang, Ying Fu:
A large-scale hyperspectral dataset for flower classification. Knowl. Based Syst. 236: 107647 (2022) - [j27]Ying Fu, Yang Hong, Linwei Chen, Shaodi You:
LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss. Knowl. Based Syst. 240: 108010 (2022) - [j26]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Response Selection and Hyperspectral Image Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 256-272 (2022) - [j25]Ying Fu, Tao Zhang, Lizhi Wang, Hua Huang:
Coded Hyperspectral Image Reconstruction Using Deep External and Internal Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3404-3420 (2022) - [j24]Kaixuan Wei, Ying Fu, Yinqiang Zheng, Jiaolong Yang:
Physics-Based Noise Modeling for Extreme Low-Light Photography. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8520-8537 (2022) - [j23]Linwei Chen, Zheng Fang, Ying Fu:
Consistency-Aware Map Generation at Multiple Zoom Levels Using Aerial Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5953-5966 (2022) - [j22]Ying Fu, Shuaizhe Liang, Dongdong Chen, Zhanlong Chen:
Translation of Aerial Image Into Digital Map via Discriminative Segmentation and Creative Generation. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c39]Tao Zhang, Ying Fu, Cheng Li:
Deep Spatial Adaptive Network for Real Image Demosaicing. AAAI 2022: 3326-3334 - [c38]Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading. BMVC 2022: 1071 - [c37]Gengchen Zhang, Yuhang Zeng, Ying Fu:
Low Light Video Enhancement Based on Temporal-Spatial Complementary Feature. CICAI (1) 2022: 368-379 - [c36]Fan Zhang, Shaodi You, Yu Li, Ying Fu:
HSI-Guided Intrinsic Image Decomposition for Outdoor Scenes. CVPR Workshops 2022: 312-321 - [c35]Yunhao Zou, Ying Fu:
Estimating Fine-Grained Noise Model via Contrastive Learning. CVPR 2022: 12672-12681 - [c34]Yue Yu, Ying Fu, Yufeng Chen, Minzhi Li:
MOOCs Based Blending Teaching Reform for Integrated College Computer Course. ICCSE (1) 2022: 293-304 - [c33]Xin Ding, Tsuyoshi Takatani, Zhongyuan Wang, Ying Fu, Yinqiang Zheng:
Event-guided Video Clip Generation from Blurry Images. ACM Multimedia 2022: 2672-2680 - [i21]Lipei Zhang, Yiran Wei, Ying Fu, Stephen J. Price, Carola-Bibiane Schönlieb, Chao Li:
Mutual Contrastive Learning to Disentangle Whole Slide Image Representations for Glioma Grading. CoRR abs/2203.04013 (2022) - [i20]Weijia Wu, Debing Zhang, Ying Fu, Chunhua Shen, Hong Zhou, Yuanqiang Cai, Ping Luo:
End-to-End Video Text Spotting with Transformer. CoRR abs/2203.10539 (2022) - [i19]Yunhao Zou, Ying Fu:
Estimating Fine-Grained Noise Model via Contrastive Learning. CoRR abs/2204.01716 (2022) - [i18]Yuemei Zhou, Tao Yu, Zerong Zheng, Ying Fu, Yebin Liu:
ProbNVS: Fast Novel View Synthesis with Learned Probability-Guided Sampling. CoRR abs/2204.03476 (2022) - [i17]Zeqiang Lai, Kaixuan Wei, Ying Fu:
Deep Plug-and-Play Prior for Hyperspectral Image Restoration. CoRR abs/2209.08240 (2022) - [i16]Fan Zhang, Shaodi You, Yu Li, Ying Fu:
GTAV-NightRain: Photometric Realistic Large-scale Dataset for Night-time Rain Streak Removal. CoRR abs/2210.04708 (2022) - [i15]Miaoyu Li, Ying Fu, Yulun Zhang:
Spatial-Spectral Transformer for Hyperspectral Image Denoising. CoRR abs/2211.14090 (2022) - 2021
- [j21]Ying Fu, Jian Chen, Tao Zhang, Yonggang Lin:
Residual scale attention network for arbitrary scale image super-resolution. Neurocomputing 427: 201-211 (2021) - [j20]Huanglu Wen, Shaodi You, Ying Fu:
Cross-modal dynamic convolution for multi-modal emotion recognition. J. Vis. Commun. Image Represent. 78: 103178 (2021) - [j19]Huanglu Wen, Shaodi You, Ying Fu:
Cross-modal context-gated convolution for multi-modal sentiment analysis. Pattern Recognit. Lett. 146: 252-259 (2021) - [j18]Linwei Chen, Ying Fu, Shaodi You, Hongzhe Liu:
Efficient Hybrid Supervision for Instance Segmentation in Aerial Images. Remote. Sens. 13(2): 252 (2021) - [j17]Ying Fu, Zhiyuan Liang, Shaodi You:
Bidirectional 3D Quasi-Recurrent Neural Network for Hyperspectral Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2674-2688 (2021) - [j16]Kaixuan Wei, Ying Fu, Hua Huang:
3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising. IEEE Trans. Neural Networks Learn. Syst. 32(1): 363-375 (2021) - [c32]Yang Hong, Kaixuan Wei, Linwei Chen, Ying Fu:
Crafting Object Detection in Very Low Light. BMVC 2021: 16 - [c31]Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani, Ying Fu:
Learning To Reconstruct High Speed and High Dynamic Range Videos From Events. CVPR 2021: 2024-2033 - [c30]Fan Zhang, Yu Li, Shaodi You, Ying Fu:
Learning Temporal Consistency for Low Light Video Enhancement From Single Images. CVPR 2021: 4967-4976 - [c29]Yuemei Zhou, Gaochang Wu, Ying Fu, Kun Li, Yebin Liu:
Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images. CVPR 2021: 14842-14851 - [c28]Tao Zhang, Ying Fu, Cheng Li:
Hyperspectral Image Denoising with Realistic Data. ICCV 2021: 2228-2237 - [c27]Ruizhi Shao, Gaochang Wu, Yuemei Zhou, Ying Fu, Lu Fang, Yebin Liu:
LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation. ICCV 2021: 14870-14879 - [c26]Yuxing Huang, Qiu Shen, Ying Fu, Shaodi You:
Weakly-supervised Semantic Segmentation in Cityscape via Hyperspectral Image. ICCVW 2021: 1117-1126 - [c25]Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu:
Partial FC: Training 10 Million Identities on a Single Machine. ICCVW 2021: 1445-1449 - [c24]Yuxuan Han, Jiaolong Yang, Ying Fu:
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search. IJCAI 2021: 715-721 - [c23]Yuhang Zeng, Yunhao Zou, Ying Fu:
$\mathrm 3D^2Unet$: 3D Deformable Unet for Low-Light Video Enhancement. PRCV (3) 2021: 66-77 - [i14]Yuxuan Han, Jiaolong Yang, Ying Fu:
Disentangled Face Attribute Editing via Instance-Aware Latent Space Search. CoRR abs/2105.12660 (2021) - [i13]Ruizhi Shao, Gaochang Wu, Yuemei Zhou, Ying Fu, Yebin Liu:
LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation. CoRR abs/2106.04067 (2021) - [i12]Yixiao Yang, Ran Tao, Kaixuan Wei, Ying Fu:
Dynamic Proximal Unrolling Network for Compressive Sensing Imaging. CoRR abs/2107.11007 (2021) - [i11]Kaixuan Wei, Ying Fu, Yinqiang Zheng, Jiaolong Yang:
Physics-based Noise Modeling for Extreme Low-light Photography. CoRR abs/2108.02158 (2021) - 2020
- [j15]Ying Fu, Yongrong Zheng, Lin Zhang, Yinqiang Zheng, Hua Huang:
Simultaneous hyperspectral image super-resolution and geometric alignment with a hybrid camera system. Neurocomputing 384: 282-294 (2020) - [j14]Yunhao Zou, Ying Fu, Yinqiang Zheng, Wei Li:
CSR-Net: Camera Spectral Response Network for Dimensionality Reduction and Classification in Hyperspectral Imagery. Remote. Sens. 12(20): 3294 (2020) - [j13]Ye Xiang, Ying Fu, Hua Huang:
Global Topology Constraint Network for Fine-Grained Vehicle Recognition. IEEE Trans. Intell. Transp. Syst. 21(7): 2918-2929 (2020) - [c22]Lizhi Wang, Chen Sun, Maoqing Zhang, Ying Fu, Hua Huang:
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging. CVPR 2020: 1658-1668 - [c21]Kaixuan Wei, Ying Fu, Jiaolong Yang, Hua Huang:
A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising. CVPR 2020: 2755-2764 - [c20]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang:
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. ICML 2020: 10158-10169 - [c19]Zhuokun Yao, Kun Li, Ying Fu, Haofeng Hu, Boxin Shi:
GPS-Net: Graph-based Photometric Stereo Network. NeurIPS 2020 - [i10]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Carola-Bibiane Schönlieb, Hua Huang:
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems. CoRR abs/2002.09611 (2020) - [i9]Kaixuan Wei, Ying Fu, Hua Huang:
3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising. CoRR abs/2003.04547 (2020) - [i8]Kaixuan Wei, Ying Fu, Jiaolong Yang, Hua Huang:
A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising. CoRR abs/2003.12751 (2020) - [i7]Di Wu, Qi Tang, Yongle Zhao, Ming Zhang, Ying Fu, Debing Zhang:
EasyQuant: Post-training Quantization via Scale Optimization. CoRR abs/2006.16669 (2020) - [i6]Xiang An, Xuhan Zhu, Yang Xiao, Lan Wu, Ming Zhang, Yuan Gao, Bin Qin, Debing Zhang, Ying Fu:
Partial FC: Training 10 Million Identities on a Single Machine. CoRR abs/2010.05222 (2020) - [i5]Yuemei Zhou, Gaochang Wu, Ying Fu, Kun Li, Yebin Liu:
Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images. CoRR abs/2011.14631 (2020) - [i4]Kaixuan Wei, Angelica I. Avilés-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb:
TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems. CoRR abs/2012.05703 (2020) - [i3]Yuxing Huang, Erqi Huang, Linsen Chen, Shaodi You, Ying Fu, Qiu Shen:
Hyperspectral Image Semantic Segmentation in Cityscapes. CoRR abs/2012.10122 (2020)
2010 – 2019
- 2019
- [j12]Lingfei Song, Ying Fu, Hua Huang, Yufeng Chen:
Fast HSI super resolution using linear regression. IET Image Process. 13(10): 1671-1679 (2019) - [j11]Kaixuan Wei, Ying Fu:
Low-rank Bayesian tensor factorization for hyperspectral image denoising. Neurocomputing 331: 412-423 (2019) - [j10]Hua Huang, Guangtao Nie, Yinqiang Zheng, Ying Fu:
Image restoration from patch-based compressed sensing measurement. Neurocomputing 340: 145-157 (2019) - [j9]Ye Xiang, Ying Fu, Hua Huang:
Global relative position space based pooling for fine-grained vehicle recognition. Neurocomputing 367: 287-298 (2019) - [j8]Shipeng Zhang, Hua Huang, Ying Fu:
Fast Parallel Implementation of Dual-Camera Compressive Hyperspectral Imaging System. IEEE Trans. Circuits Syst. Video Technol. 29(11): 3404-3414 (2019) - [j7]Lizhi Wang, Tao Zhang, Ying Fu, Hua Huang:
HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging. IEEE Trans. Image Process. 28(5): 2257-2270 (2019) - [c18]Lizhi Wang, Chen Sun, Ying Fu, Min H. Kim, Hua Huang:
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior. CVPR 2019: 8032-8041 - [c17]Kaixuan Wei, Jiaolong Yang, Ying Fu, David P. Wipf, Hua Huang:
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements. CVPR 2019: 8178-8187 - [c16]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Hyperspectral Image Super-Resolution With Optimized RGB Guidance. CVPR 2019: 11661-11670 - [c15]Ye Xiang, Ying Fu, Pan Ji, Hua Huang:
Incremental Learning Using Conditional Adversarial Networks. ICCV 2019: 6618-6627 - [c14]Tao Zhang, Ying Fu, Lizhi Wang, Hua Huang:
Hyperspectral Image Reconstruction Using Deep External and Internal Learning. ICCV 2019: 8558-8567 - [c13]Shipeng Zhang, Lizhi Wang, Ying Fu, Xiaoming Zhong, Hua Huang:
Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery. ICCV 2019: 10182-10191 - [c12]Qi Kang, Ying Fu, Hua Huang:
Deep Color Image Demosaicking with Feature Pyramid Channel Attention. ICME Workshops 2019: 246-251 - [c11]Yuenan Guo, Ying Fu, Hua Huang:
Real-World Image Denoising via Weighted Low Rank Approximation. ICME Workshops 2019: 252-257 - [c10]Yixi Xiang, Ying Fu, Lei Zhang, Hua Huang:
An Effective Network with ConvLSTM for Low-Light Image Enhancement. PRCV (2) 2019: 221-233 - [i2]Kaixuan Wei, Jiaolong Yang, Ying Fu, David P. Wipf, Hua Huang:
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements. CoRR abs/1904.00637 (2019) - 2018
- [j6]Yonggang Lin, Yongrong Zheng, Ying Fu, Hua Huang:
Hyperspectral image super-resolution under misaligned hybrid camera system. IET Image Process. 12(10): 1824-1831 (2018) - [j5]Art Subpa-Asa, Ying Fu, Yinqiang Zheng, Toshiyuki Amano, Imari Sato:
Separating the Direct and Global Components of a Single Image. J. Inf. Process. 26: 755-767 (2018) - [j4]Xinling Wang, Ying Fu, Hua Huang:
联合自适应梯度稀疏和通道相关性的简单透镜成像去模糊 (Deblurring for Imaging through Simple LensCombining Adaptive Gradient Sparsity and Interchannel Correlation). 计算机科学 45(8): 1-6 (2018) - [j3]Ying Fu, Yongrong Zheng, Lin Zhang, Hua Huang:
Spectral Reflectance Recovery From a Single RGB Image. IEEE Trans. Computational Imaging 4(3): 382-394 (2018) - [j2]Ying Fu, Yinqiang Zheng, Hua Huang, Imari Sato, Yoichi Sato:
Hyperspectral Image Super-Resolution With a Mosaic RGB Image. IEEE Trans. Image Process. 27(11): 5539-5552 (2018) - [c9]Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian:
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) 2018: 356-371 - [c8]Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang:
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery. ECCV (3) 2018: 812-828 - [c7]Ying Fu, Chen Sun, Lizhi Wang, Hua Huang:
Snapshot Multiplexed Imaging Based on Compressive Sensing. PCM (2) 2018: 465-475 - [c6]Shipeng Zhang, Lizhi Wang, Ying Fu, Hua Huang:
GPU Assisted Towards Real-Time Reconstruction for Dual-Camera Compressive Hyperspectral Imaging. PCM (1) 2018: 711-720 - 2017
- [j1]Ying Fu, Antony Lam, Imari Sato, Yoichi Sato:
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Restoration. Int. J. Comput. Vis. 122(2): 228-245 (2017) - [c5]Lin Zhang, Ying Fu, Yinqiang Zheng, Hua Huang:
Camera spectral sensitivity, illumination and spectral reflectance estimation for a hybrid hyperspectral image capture system. ICIP 2017: 545 - [i1]Guangtao Nie, Ying Fu, Yinqiang Zheng, Hua Huang:
Image Restoration from Patch-based Compressed Sensing Measurement. CoRR abs/1706.00597 (2017) - 2016
- [c4]Art Subpa-Asa, Ying Fu, Yinqiang Zheng, Toshiyuki Amano, Imari Sato:
Direct and Global Component Separation from a Single Image Using Basis Representation. ACCV (3) 2016: 99-114 - [c3]Ying Fu, Yinqiang Zheng, Imari Sato, Yoichi Sato:
Exploiting Spectral-Spatial Correlation for Coded Hyperspectral Image Restoration. CVPR 2016: 3727-3736 - 2015
- [c2]Yinqiang Zheng, Ying Fu, Antony Lam, Imari Sato, Yoichi Sato:
Separating Fluorescent and Reflective Components by Using a Single Hyperspectral Image. ICCV 2015: 3523-3531 - 2011
- [c1]Ying Fu, Yebin Liu, Qionghai Dai:
Dynamic Shape Capture via Periodical-Illumination Optical Flow Estimation and Multi-view Photometric Stereo. 3DIMPVT 2011: 17-24
Coauthor Index
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