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Yue Huang 0001
Person information
- affiliation: Xiamen University, School of Information Science and Engineering, Fujian Key Laboratory of Sensing and Computing for Smart City, China
- affiliation (PhD 2010): Tsinghua University, Department of Biomedical Engineering, Beijing, China
Other persons with the same name
- Yue Huang — disambiguation page
- Yue Huang 0002
— Intermap Technologies Inc., Calgary, Canada (and 1 more)
- August Yue Huang
(aka: Yue Huang 0003) — Children's Hospital Boston, Department of Orthopaedic Surgery, MA, USA (and 3 more)
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2020 – today
- 2024
- [j70]Hongyang Zhang, Zhenyu Kuang
, Lidong Cheng, Yinhao Liu, Xinghao Ding
, Yue Huang:
AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification. Knowl. Based Syst. 289: 111455 (2024) - [j69]Chenyu Ma, Xiaotong Tu
, Guanxing Zhou, Yue Huang, Xinghao Ding:
Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework. Knowl. Based Syst. 300: 112179 (2024) - [j68]Yonghua Zhang, Xiaotong Tu
, Saqlain Abbas
, Hao Liang, Yue Huang, Xinghao Ding:
Learning to sound imaging by a model-based interpretable network. Signal Process. 215: 109281 (2024) - [j67]Linyu Fan
, Yingying Wang
, Guoliang Hu, Feifei Li, Yuhang Dong, Hui Zheng
, Changqing Lin, Yue Huang
, Xinghao Ding
:
Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j66]Yingying Wang
, Xuanhua He
, Yuhang Dong, Yunlong Lin
, Yue Huang
, Xinghao Ding
:
Cross-Modality Interaction Network for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c84]Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang:
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. AAAI 2024: 4189-4197 - [c83]Xiaolu Chen, Haote Xu, Chenghao Deng, Xiaotong Tu, Xinghao Ding, Yue Huang:
Implicit Foreground-Guided Network for Anomaly Detection and Localization. ICASSP 2024: 2970-2974 - [i47]Zhenyu Kuang, Hongyang Zhang, Lidong Cheng, Yinhao Liu, Yue Huang, Xinghao Ding:
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification. CoRR abs/2407.07351 (2024) - 2023
- [j65]Chao Ma, Tianjun Wang, Le Zhang
, Zhiguang Cao
, Yue Huang, Xinghao Ding:
Distributed representation learning with skip-gram model for trained random forests. Neurocomputing 551: 126434 (2023) - [j64]Changxing Jing
, Lexing Huang
, Senlin Cai
, Yihong Zhuang
, Zhenlong Xiao
, Yue Huang
, Xinghao Ding
:
Interclass Similarity Transfer for Imbalanced Aerial Scene Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j63]Ying Xu, Liangchao Shi
, Chuyang Lin, Senlin Cai
, Wei Lin
, Yue Huang
, Xinghao Ding
:
A Contrastive-Based Adversarial Training Algorithm for HRRP Target Recognition. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j62]Yuxuan Yuan
, Zhijie Rao
, Chuyang Lin, Yue Huang
, Xinghao Ding
:
Adaptive Ship Detection From Optical to SAR Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j61]Yijin Zhong, Wei Lin
, Ying Xu, Lexing Huang
, Yue Huang
, Xinghao Ding
:
Contrastive Learning for Radar HRRP Recognition With Missing Aspects. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j60]Junde Wu
, Huihui Fang, Fei Li, Huazhu Fu
, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu
, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
:
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [j59]Changxing Jing
, Yan Huang
, Yihong Zhuang, Liyan Sun, Zhenlong Xiao, Yue Huang, Xinghao Ding
:
Exploring personalization via federated representation Learning on non-IID data. Neural Networks 163: 354-366 (2023) - [j58]Chaoqi Chen
, Jiongcheng Li
, Hong-Yu Zhou
, Xiaoguang Han
, Yue Huang
, Xinghao Ding
, Yizhou Yu
:
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3677-3694 (2023) - [j57]Yijin Mao, Xiaotong Tu
, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding:
Adaptive nonlinear group delay mode estimation. Signal Process. 212: 109181 (2023) - [j56]Chuchu He, Yunshu Chen, Jie Pan, Yue Huang, Xiaotong Tu, Xinghao Ding
:
Enhanced features in image manipulation detection. Signal Process. Image Commun. 116: 116983 (2023) - [j55]Wei Lin
, Xiaoyu Liu
, Yihong Zhuang
, Xinghao Ding
, Xiaotong Tu
, Yue Huang
, Huanqiang Zeng
:
Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2245-2258 (2023) - [j54]Huangxing Lin
, Yihong Zhuang
, Yue Huang
, Xinghao Ding
:
Unpaired Speckle Extraction for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j53]Wei Lin
, Xinghao Ding
, Yue Huang
, Huanqiang Zeng
:
Self-Supervised Video-Based Action Recognition With Disturbances. IEEE Trans. Image Process. 32: 2493-2507 (2023) - [j52]Zhenyu Kuang
, Chuchu He, Yue Huang
, Xinghao Ding
, Huafeng Li
:
Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification. IEEE Trans. Intell. Transp. Syst. 24(12): 15259-15273 (2023) - [j51]Wu Wang
, Xueyang Fu
, Weihong Zeng, Liyan Sun, Ronghui Zhan, Yue Huang
, Xinghao Ding
:
Enhanced Deep Blind Hyperspectral Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1513-1523 (2023) - [j50]Huangxing Lin
, Weihong Zeng, Yihong Zhuang
, Xinghao Ding
, Yue Huang
, John W. Paisley:
Learning Rate Dropout. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9029-9039 (2023) - [c82]Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley:
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. AAAI 2023: 1586-1594 - [c81]Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances. CVPR 2023: 22252-22261 - [c80]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-Dynamic Knowledge Distillation. ICASSP 2023: 1-5 - [c79]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. ICCV 2023: 11518-11529 - [c78]Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding:
Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. ICIP 2023: 1295-1299 - [c77]Chuchu He, Zhenyu Kuang, Yijin Zhong, Xinghao Ding, Yue Huang:
Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning. ICIP 2023: 2520-2524 - [c76]Zhijie Rao, Luyao Tang, Yue Huang, Xinghao Ding:
Domain Generalized Object Detection with Triple Graph Reasoning Network. ICONIP (3) 2023: 314-327 - [c75]Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding:
Domain Generalization via Implicit Domain Augmentation. ICONIP (8) 2023: 437-448 - [c74]Yingying Wang
, Yunlong Lin
, Ge Meng
, Zhenqi Fu
, Yuhang Dong
, Linyu Fan
, Hedeng Yu
, Xinghao Ding
, Yue Huang:
Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening. ACM Multimedia 2023: 358-367 - [c73]Chaoqi Chen, Luyao Tang, Yue Huang, Xiaoguang Han, Yizhou Yu:
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation. NeurIPS 2023 - [c72]Guoqing Zheng, Zhenqi Fu, Xiaopeng Lin, Xueye Chu, Yue Huang, Xinghao Ding:
Infrared and Visible Image Fusion via Test-Time Training. PRCV (10) 2023: 77-88 - [c71]Lidong Cheng, Zhenyu Kuang, Hongyang Zhang, Xinghao Ding, Yue Huang:
Boosting Generalization Performance in Person Re-identification. PRCV (10) 2023: 174-185 - [c70]Jingjia Huang, Ge Meng, Yingying Wang, Yunlong Lin, Yue Huang, Xinghao Ding:
DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening. PRCV (8) 2023: 268-279 - [c69]Yuhang Dong, Yingying Wang, Linyu Fan
, Xinghao Ding, Yue Huang:
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection. PRCV (12) 2023: 315-327 - [c68]Jie Zhong, Xiaotong Tu, Yue Huang, Xinghao Ding:
AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection. PRCV (5) 2023: 369-380 - [c67]Chuyang Lin, Senlin Cai, Hailiang Huang, Xinghao Ding
, Yue Huang
:
Adversarial Robustness via Multi-experts Framework for SAR Recognition with Class Imbalanced. PRCV (4) 2023: 405-417 - [c66]Ying Xu, Chuyang Lin, Yijin Zhong, Yue Huang
, Xinghao Ding
:
Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization. PRCV (4) 2023: 418-429 - [c65]Zhengpeng Lv, Yihong Zhuang, Gang Yang, Yue Huang
, Xinghao Ding
:
A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification. PRCV (4) 2023: 430-441 - [i46]Hao Liang, Guanxing Zhou, Xiaotong Tu, Andreas Jakobsson, Xinghao Ding, Yue Huang:
Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming. CoRR abs/2306.10772 (2023) - [i45]Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo:
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. CoRR abs/2307.01750 (2023) - [i44]Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu:
Activate and Reject: Towards Safe Domain Generalization under Category Shift. CoRR abs/2310.04724 (2023) - 2022
- [j49]Liyan Sun, Chenxin Li, Xinghao Ding
, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu, John W. Paisley:
Few-shot medical image segmentation using a global correlation network with discriminative embedding. Comput. Biol. Medicine 140: 105067 (2022) - [j48]Chenxin Li, Xin Lin, Yijin Mao, Wei Lin
, Qi Qi, Xinghao Ding, Yue Huang
, Dong Liang, Yizhou Yu:
Domain generalization on medical imaging classification using episodic training with task augmentation. Comput. Biol. Medicine 141: 105144 (2022) - [j47]Yue Huang
, Yi Wen
, Liangchao Shi
, Xinghao Ding
:
Recognition-Aware HRRP Generation With Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j46]Huangxing Lin
, Yihong Zhuang
, Yue Huang
, Xinghao Ding
:
Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j45]Liangchao Shi
, Zhehan Liang, Yi Wen
, Yihong Zhuang
, Yue Huang
, Xinghao Ding
:
One-Shot HRRP Generation for Radar Target Recognition. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j44]Wu Wang
, Weihong Zeng, Yue Huang
, Xinghao Ding
:
Deep Multiscale Feedback Network for Hyperspectral Image Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j43]Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding
, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Comput. Appl. 34(4): 3151-3164 (2022) - [j42]Liyan Sun, Jianxiong Wu, Xinghao Ding
, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu:
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans. Neural Comput. Appl. 34(19): 16547-16561 (2022) - [j41]Xinghao Ding, Hao Liang
, Andreas Jakobsson
, Xiaotong Tu, Yue Huang:
High-resolution source localization exploiting the sparsity of the beamforming map. Signal Process. 192: 108377 (2022) - [j40]Zhenqi Fu
, Xueyang Fu
, Yue Huang, Xinghao Ding
:
Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement. Signal Process. Image Commun. 102: 116622 (2022) - [j39]Xiaopeng Lin
, Guanxing Zhou
, Xiaotong Tu
, Yue Huang
, Xinghao Ding
:
Two-Level Consistency Metric for Infrared and Visible Image Fusion. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j38]Yue Huang
, Borong Liang
, Weiping Xie, Yinghao Liao
, Zhenyu Kuang
, Yihong Zhuang
, Xinghao Ding
:
Dual Domain Multi-Task Model for Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 23(4): 2991-2999 (2022) - [j37]Yunlong Zhang
, Xin Lin
, Yihong Zhuang
, Liyan Sun, Yue Huang
, Xinghao Ding
, Guisheng Wang, Lin Yang, Yizhou Yu
:
Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. IEEE Trans. Medical Imaging 41(9): 2457-2468 (2022) - [c64]Zhenqi Fu
, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding:
Unsupervised Underwater Image Restoration: From a Homology Perspective. AAAI 2022: 643-651 - [c63]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. ECCV (11) 2022: 19-35 - [c62]Zhenqi Fu, Wu Wang
, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. ECCV (18) 2022: 465-482 - [c61]Ruizhe Chen, Zhenqi Fu
, Yue Huang, En Cheng, Xinghao Ding:
A Robust Object Segmentation Network for UnderWater Scenes. ICASSP 2022: 2629-2633 - [c60]Zhenqi Fu
, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement Via Learning Water Type Desensitized Representations. ICASSP 2022: 2764-2768 - [c59]Shu Chai, Zhenqi Fu
, Yue Huang, Xiaotong Tu, Xinghao Ding:
Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. ICASSP 2022: 2774-2778 - [c58]Lexing Huang, Senlin Cai, Yihong Zhuang, Changxing Jing, Yue Huang, Xiaotong Tu, Xinghao Ding:
A Two-Stage Contrastive Learning Framework For Imbalanced Aerial Scene Recognition. ICASSP 2022: 3518-3522 - [c57]Hao Liang, Xinghao Ding, Andreas Jakobsson
, Xiaotong Tu, Yue Huang:
Adaptive Variational Nonlinear Chirp Mode Decomposition. ICASSP 2022: 5632-5636 - [c56]Xiaopeng Lin, Guanxing Zhou, Weihong Zeng, Xiaotong Tu, Yue Huang, Xinghao Ding:
A Self-Supervised Method for Infrared and Visible Image Fusion. ICIP 2022: 2376-2380 - [c55]Guanxing Zhou, Yihong Zhuang, Xinghao Ding, Yue Huang, Saqlain Abbas, Xiaotong Tu:
A Simple Siamese Framework for Vibration Signal Representations. ICIP 2022: 2456-2460 - [c54]Yihong Zhuang, Changxing Jing, Senlin Cai, Lexing Huang, Yue Huang, Xiaotong Tu, Xinghao Ding:
A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition. ICONIP (3) 2022: 110-121 - [c53]Zhiyuan Ding, Qi Dong, Haote Xu, Chenxin Li, Xinghao Ding, Yue Huang:
Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction. ICONIP (3) 2022: 133-144 - [c52]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. NeurIPS 2022 - [i43]Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu:
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis. CoRR abs/2203.15347 (2022) - [i42]Guanxing Zhou, Hao Liang, Xinghao Ding, Yue Huang, Xiaotong Tu, Saqlain Abbas:
Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification. CoRR abs/2203.16988 (2022) - [i41]Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding:
AFSC: Adaptive Fourier Space Compression for Anomaly Detection. CoRR abs/2204.07963 (2022) - [i40]Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Yue Huang, Zhenlong Xiao, Xinghao Ding:
A Closer Look at Personalization in Federated Image Classification. CoRR abs/2204.11841 (2022) - [i39]Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou
, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu:
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection. CoRR abs/2206.02355 (2022) - [i38]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. CoRR abs/2207.05409 (2022) - [i37]Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. CoRR abs/2207.09689 (2022) - [i36]Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu:
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization. CoRR abs/2210.07571 (2022) - [i35]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-dynamic Knowledge Distillation. CoRR abs/2211.17059 (2022) - 2021
- [j36]Yunlong Zhang, Changxing Jing
, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard class rectification for domain adaptation. Knowl. Based Syst. 222: 107011 (2021) - [j35]Qi Qi
, Xin Lin, Chaoqi Chen
, Weiping Xie, Yue Huang
, Xinghao Ding
, Xiaoqing Liu, Yizhou Yu
:
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. IEEE J. Biomed. Health Informatics 25(4): 1163-1172 (2021) - [j34]Xinghao Ding
, Fujin He
, Zhirui Lin, Yu Wang, Huimin Guo, Yue Huang
:
Crowd Density Estimation Using Fusion of Multi-Layer Features. IEEE Trans. Intell. Transp. Syst. 22(8): 4776-4787 (2021) - [j33]Xueyang Fu
, Wu Wang, Yue Huang
, Xinghao Ding
, John W. Paisley:
Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2090-2104 (2021) - [c51]Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu
, Xinghao Ding, Junzhou Huang
:
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM 2021: 1008-1017 - [c50]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CVPR 2021: 12576-12585 - [c49]Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. ICCV 2021: 2683-2692 - [c48]Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding:
Consistent Posterior Distributions Under Vessel-Mixing: A Regularization For Cross-Domain Retinal Artery/Vein Classification. ICIP 2021: 61-65 - [c47]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Noise2Grad: Extract Image Noise to Denoise. IJCAI 2021: 830-836 - [c46]Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu:
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. MICCAI (6) 2021: 97-106 - [c45]Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. MICCAI (6) 2021: 150-160 - [i34]Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding:
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement. CoRR abs/2102.00670 (2021) - [i33]Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement via Learning Water Type Desensitized Representations. CoRR abs/2102.00676 (2021) - [i32]Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding:
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation. CoRR abs/2103.09094 (2021) - [i31]Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding:
Consistent Posterior Distributions under Vessel-Mixing: A Regularization for Cross-Domain Retinal Artery/Vein Classification. CoRR abs/2103.09097 (2021) - [i30]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CoRR abs/2103.13757 (2021) - [i29]Wu Wang, Yue Huang, Xinhao Ding:
Self-Regression Learning for Blind Hyperspectral Image Fusion Without Label. CoRR abs/2103.16806 (2021) - [i28]Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation. CoRR abs/2105.14732 (2021) - [i27]Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation. CoRR abs/2106.06908 (2021) - [i26]Huangxing Lin, Yihong Zhuang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Self-Verification in Image Denoising. CoRR abs/2111.00666 (2021) - 2020
- [j32]Yi Wen
, Liangchao Shi
, Xian Yu
, Yue Huang
, Xinghao Ding
:
HRRP Target Recognition With Deep Transfer Learning. IEEE Access 8: 57859-57867 (2020) - [j31]Huangxing Lin
, Changxing Jing
, Yue Huang
, Xinghao Ding
:
A2Net: Adjacent Aggregation Networks for Image Raindrop Removal. IEEE Access 8: 60769-60779 (2020) - [j30]Liyan Sun, Yawen Wu, Binglin Shu, Xinghao Ding
, Congbo Cai, Yue Huang
, John W. Paisley:
A dual-domain deep lattice network for rapid MRI reconstruction. Neurocomputing 397: 94-107 (2020) - [j29]Xueyang Fu, Qi Sun, Yue Huang, Xinghao Ding:
基于深度邻近连接网络的单幅图像去雨方法 (Single Image De-raining Method Based on Deep Adjacently Connected Networks). 计算机科学 47(2): 106-111 (2020) - [j28]Chaoqi Chen
, Weiping Xie, Yi Wen, Yue Huang, Xinghao Ding:
Multiple-source domain adaptation with generative adversarial nets. Knowl. Based Syst. 199: 105962 (2020) - [j27]Huangxing Lin
, Yanlong Li
, Xueyang Fu
, Xinghao Ding
, Yue Huang
, John W. Paisley:
Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation. IEEE Trans. Image Process. 29: 7668-7680 (2020) - [j26]Liyan Sun, Jiexiang Wang, Yue Huang
, Xinghao Ding
, Hayit Greenspan, John W. Paisley:
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection. IEEE J. Biomed. Health Informatics 24(8): 2303-2314 (2020) - [j25]Yue Huang
, Zhenwei Liu
, Minghui Jiang, Xian Yu, Xinghao Ding
:
Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active Learning and Web Data. IEEE Trans. Intell. Transp. Syst. 21(1): 79-86 (2020) - [j24]Liyan Sun, Wenao Ma, Xinghao Ding
, Yue Huang
, Dong Liang
, John W. Paisley:
A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI. IEEE Trans. Medical Imaging 39(4): 898-909 (2020) - [j23]Xueyang Fu
, Borong Liang
, Yue Huang, Xinghao Ding
, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1794-1807 (2020) - [j22]Xinghao Ding
, Jitian Wang
, Chengwei Dong
, Yue Huang
:
Vehicle Type Recognition From Surveillance Data Based on Deep Active Learning. IEEE Trans. Veh. Technol. 69(3): 2477-2486 (2020) - [c44]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CVPR 2020: 8866-8875 - [i25]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CoRR abs/2003.06297 (2020) - [i24]Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard Class Rectification for Domain Adaptation. CoRR abs/2008.03455 (2020) - [i23]Yunlong Zhang, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. CoRR abs/2009.05722 (2020) - [i22]Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision. CoRR abs/2010.12219 (2020) - [i21]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John W. Paisley:
Adaptive noise imitation for image denoising. CoRR abs/2011.14512 (2020) - [i20]Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding. CoRR abs/2012.05440 (2020)
2010 – 2019
- 2019
- [j21]Xinghao Ding, Yunshu Chen, Zhen Tang, Yue Huang
:
Camera Identification Based on Domain Knowledge-Driven Deep Multi-Task Learning. IEEE Access 7: 25878-25890 (2019) - [j20]Chen Xuheng, Mingyong Zhuang, Congbo Cai, Yue Huang, Xinghao Ding:
Accurate Infant Brain MRI Segmentation via 3D Dense-Fuse Convolution Neural Networks. Aust. J. Intell. Inf. Process. Syst. 15(3): 1-7 (2019) - [j19]Shulian Cai, Jiabin Huang, Jing Chen, Yue Huang, Xinghao Ding, Delu Zeng:
Prominent edge detection with deep metric expression and multi-scale features. Multim. Tools Appl. 78(20): 29121-29135 (2019) - [j18]Liyan Sun, Zhiwen Fan, Xueyang Fu
, Yue Huang, Xinghao Ding, John William Paisley:
A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction. IEEE Trans. Image Process. 28(12): 6141-6153 (2019) - [j17]Chi Liu
, Yue Huang, John A. Ozolek, Matthew G. Hanna, Rajendra Singh, Gustavo K. Rohde
:
SetSVM: An Approach to Set Classification in Nuclei-Based Cancer Detection. IEEE J. Biomed. Health Informatics 23(1): 351-361 (2019) - [j16]Qi Qi, Yanlong Li, Jitian Wang, Han Zheng, Yue Huang
, Xinghao Ding
, Gustavo Kunde Rohde
:
Label-Efficient Breast Cancer Histopathological Image Classification. IEEE J. Biomed. Health Informatics 23(5): 2108-2116 (2019) - [c43]Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong
, Xinghao Ding, Yue Huang, Tingyang Xu
, Junzhou Huang
:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR 2019: 627-636 - [c42]Xueyang Fu
, Zihuang Lin, Yue Huang, Xinghao Ding:
A Variational Pan-Sharpening With Local Gradient Constraints. CVPR 2019: 10265-10274 - [c41]Fei Li, Hongyu Huang, Yawen Wu, Congbo Cai, Yue Huang, Xinghao Ding:
Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit. ICASSP 2019: 1214-1218 - [c40]Weihong Zeng, Fei Li, Hongyu Huang, Yue Huang, Xinghao Ding:
Two-stream Multi-focus Image Fusion Based on the Latent Decision Map. ICASSP 2019: 1762-1766 - [c39]Wu Wang
, Weihong Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Deep Blind Hyperspectral Image Fusion. ICCV 2019: 4149-4158 - [c38]Jie Pan, Yunshu Chen, Yue Huang, Xinghao Ding, En Cheng:
T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection. ICONIP (5) 2019: 32-40 - [c37]Yan Luo, Mingyong Zhuang
, Congbo Cai, Yue Huang, Xinghao Ding:
G-HAPNet: A Novel Structure for Single Image Super-Resolution. ICONIP (5) 2019: 57-64 - [c36]Mingyong Zhuang
, Yan Luo, Xinghao Ding, Yue Huang, Yinghao Liao:
A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication. ICONIP (2) 2019: 106-116 - [c35]Huimin Guo, Fujin He
, Xin Cheng, Xinghao Ding, Yue Huang:
Pay Attention to Deep Feature Fusion in Crowd Density Estimation. ICONIP (4) 2019: 363-370 - [c34]Liyan Sun, Zhiwen Fan, Xinghao Ding, Yue Huang, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. IPMI 2019: 492-504 - [c33]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. STACOM@MICCAI 2019: 254-262 - [i19]Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John W. Paisley:
Rain O'er Me: Synthesizing real rain to derain with data distillation. CoRR abs/1904.04605 (2019) - [i18]Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR abs/1907.00544 (2019) - [i17]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. CoRR abs/1910.12514 (2019) - [i16]Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John W. Paisley:
Learning Rate Dropout. CoRR abs/1912.00144 (2019) - [i15]Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John W. Paisley:
Noise2Blur: Online Noise Extraction and Denoising. CoRR abs/1912.01158 (2019) - 2018
- [j15]Jitian Wang, Han Zheng, Yue Huang
, Xinghao Ding
:
Vehicle Type Recognition in Surveillance Images From Labeled Web-Nature Data Using Deep Transfer Learning. IEEE Trans. Intell. Transp. Syst. 19(9): 2913-2922 (2018) - [c32]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Compressed Sensing MRI Using a Recursive Dilated Network. AAAI 2018: 2444-2451 - [c31]Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley:
A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI. ECCV (6) 2018: 55-70 - [c30]Baolin Du
, Qi Qi
, Han Zheng
, Yue Huang
, Xinghao Ding
:
Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting. ICANN (2) 2018: 109-116 - [c29]Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Delu Zeng, Xinghao Ding:
Bindctnet: A Simple Binary Dct Network for Image Classification. ICASSP 2018: 1278-1282 - [c28]Xian Yu, Xiangrui Xing, Han Zheng, Xueyang Fu
, Yue Huang, Xinghao Ding:
Man-Made Object Recognition from Underwater Optical Images Using Deep Learning and Transfer Learning. ICASSP 2018: 1852-1856 - [c27]Xinghao Ding, Zhirui Lin, Fujin He
, Yu Wang, Yue Huang:
A Deeply-Recursive Convolutional Network For Crowd Counting. ICASSP 2018: 1942-1946 - [c26]Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang, Xinghao Ding:
A Deep Ensemble Network for Compressed Sensing MRI. ICONIP (1) 2018: 162-171 - [c25]Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu, Xinghao Ding:
Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation. ICONIP (5) 2018: 311-322 - [c24]Chao Wang, Yawen Wu, Xinghao Ding, Yue Huang, Congbo Cai:
High Efficient Reconstruction of Single-Shot Magnetic Resonance T_2 Mapping Through Overlapping Echo Detachment and DenseNet. ICONIP (6) 2018: 408-418 - [c23]Qi Qi
, Baolin Du
, Mingyong Zhuang
, Yue Huang
, Xinghao Ding
:
Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect. ICONIP (7) 2018: 410-419 - [c22]Zhiwen Fan, Huafeng Wu, Xueyang Fu
, Yue Huang, Xinghao Ding:
Residual-Guide Network for Single Image Deraining. ACM Multimedia 2018: 1751-1759 - [i14]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
A Deep Error Correction Network for Compressed Sensing MRI. CoRR abs/1803.08763 (2018) - [i13]Liyan Sun, Zhiwen Fan, Xinghao Ding, Congbo Cai, Yue Huang, John W. Paisley:
A Divide-and-Conquer Approach to Compressed Sensing MRI. CoRR abs/1803.09909 (2018) - [i12]Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley:
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI. CoRR abs/1804.01210 (2018) - [i11]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction. CoRR abs/1804.03596 (2018) - [i10]Zhiwen Fan, Huafeng Wu, Xueyang Fu, Yue Huang, Xinghao Ding:
Residual-Guide Feature Fusion Network for Single Image Deraining. CoRR abs/1804.07493 (2018) - [i9]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. CoRR abs/1805.02165 (2018) - [i8]Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang:
A Deeply-Recursive Convolutional Network for Crowd Counting. CoRR abs/1805.05633 (2018) - [i7]Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. CoRR abs/1805.06173 (2018) - [i6]Liyan Sun, Jiexiang Wang, Xinghao Ding, Yue Huang, John W. Paisley:
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal. CoRR abs/1810.10850 (2018) - [i5]Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.08585 (2018) - [i4]Xueyang Fu, Qi Qi, Yue Huang, Xinghao Ding, Feng Wu, John W. Paisley:
A Deep Tree-Structured Fusion Model for Single Image Deraining. CoRR abs/1811.08632 (2018) - [i3]Huangxing Lin, Xueyang Fu, Changxing Jing, Xinghao Ding, Yue Huang:
A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal. CoRR abs/1811.09780 (2018) - 2017
- [j14]Peixian Zhuang, Xueyang Fu
, Yue Huang, Xinghao Ding:
Image enhancement using divide-and-conquer strategy. J. Vis. Commun. Image Represent. 45: 137-146 (2017) - [j13]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Non-blind deconvolution with ℓ 1 -norm of high-frequency fidelity. Multim. Tools Appl. 76(22): 23607-23625 (2017) - [j12]Yue Huang
, Han Zheng, Chi Liu
, Xinghao Ding, Gustavo K. Rohde:
Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images. IEEE J. Biomed. Health Informatics 21(6): 1625-1632 (2017) - [c21]Xueyang Fu
, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Removing Rain from Single Images via a Deep Detail Network. CVPR 2017: 1715-1723 - [c20]Yue Huang, Han Zheng, Chi Liu, Gustavo K. Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding:
Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. ICASSP 2017: 1073-1077 - [c19]Junfeng Yang, Xueyang Fu
, Yuwen Hu, Yue Huang, Xinghao Ding, John W. Paisley:
PanNet: A Deep Network Architecture for Pan-Sharpening. ICCV 2017: 1753-1761 - [c18]Liyan Sun, Yue Huang, Congbo Cai, Xinghao Ding:
Compressed sensing MRI using total variation regularization with K-space decomposition. ICIP 2017: 3061-3065 - [c17]Yunshu Chen
, Yue Huang, Xinghao Ding:
Camera model identification with residual neural network. ICIP 2017: 4337-4341 - [c16]Wenlei Wu, Zhaohang Lin, Xinghao Ding, Yue Huang:
A Simple Convolutional Transfer Neural Networks in Vision Tasks. ICONIP (4) 2017: 385-392 - [c15]Xueyang Fu
, Zhiwen Fan, Mei Ling, Yue Huang, Xinghao Ding:
Two-step approach for single underwater image enhancement. ISPACS 2017: 789-794 - 2016
- [j11]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. Neurocomputing 174: 858-865 (2016) - [j10]Xinghao Ding, Liqin Chen, Xianhui Zheng, Yue Huang, Delu Zeng:
Single image rain and snow removal via guided L0 smoothing filter. Multim. Tools Appl. 75(5): 2697-2712 (2016) - [j9]Yue Huang, Xin Chen, Xinghao Ding:
A harmonic means pooling strategy for structural similarity index measurement in image quality assessment. Multim. Tools Appl. 75(5): 2769-2780 (2016) - [j8]Xueyang Fu
, Delu Zeng, Yue Huang, Yinghao Liao, Xinghao Ding, John W. Paisley:
A fusion-based enhancing method for weakly illuminated images. Signal Process. 129: 82-96 (2016) - [j7]Peixian Zhuang, Xueyang Fu
, Yue Huang, Delu Zeng, Xinghao Ding:
A novel framework method for non-blind deconvolution using subspace images priors. Signal Process. Image Commun. 46: 17-28 (2016) - [j6]Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng:
Saliency Detection With Spaces of Background-Based Distribution. IEEE Signal Process. Lett. 23(5): 683-687 (2016) - [c14]Xueyang Fu
, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. CVPR 2016: 2782-2790 - [c13]Chi Liu, Yue Huang, Ligong Han, John A. Ozolek, Gustavo K. Rohde:
Hierarchical Feature Extraction for Nuclear Morphometry-Based Cancer Diagnosis. LABELS/DLMIA@MICCAI 2016: 219-227 - [i2]Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng:
Saliency Detection with Spaces of Background-based Distribution. CoRR abs/1603.05335 (2016) - 2015
- [j5]Yue Huang, Xin Chen
, Jun Zhang, Delu Zeng, Dandan Zhang, Xinghao Ding:
Single-trial ERPs denoising via collaborative filtering on ERPs images. Neurocomputing 149: 914-923 (2015) - [j4]Xueyang Fu
, Jiye Wang, Delu Zeng, Yue Huang, Xinghao Ding:
Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT. IEEE Geosci. Remote. Sens. Lett. 12(11): 2301-2305 (2015) - [j3]Xueyang Fu
, Yinghao Liao, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation. IEEE Trans. Image Process. 24(12): 4965-4977 (2015) - [j2]Yue Huang, Ruiwen Wu, Ye Sun, Wei Wang, Xinghao Ding:
Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy. IEEE Trans. Intell. Transp. Syst. 16(4): 1951-1960 (2015) - [c12]Xinghao Ding, Zheng Zhang, Xin Chen, Yue Huang:
A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means. ICASSP 2015: 1672-1676 - [c11]Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley:
Pan-Sharpening with a Hyper-Laplacian Penalty. ICCV 2015: 540-548 - 2014
- [j1]Yue Huang, John W. Paisley, Qin Lin, Xinghao Ding, Xueyang Fu
, Xiao-Ping (Steven) Zhang:
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI. IEEE Trans. Image Process. 23(12): 5007-5019 (2014) - [c10]Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley:
Pan-sharpening with a Bayesian nonparametric dictionary learning model. AISTATS 2014: 176-184 - [c9]Xueyang Fu
, Ye Sun, Minghui LiWang, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A novel retinex based approach for image enhancement with illumination adjustment. ICASSP 2014: 1190-1194 - [c8]Yue Huang, Xinghao Ding:
Single-trial Event-related Potentials Denoising based on Collaborative Filtering in Transform Domain. ICIMCS 2014: 391 - [c7]Xueyang Fu
, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A retinex-based enhancing approach for single underwater image. ICIP 2014: 4572-4576 - [c6]Yiyong Jiang, Liqin Chen, Wei Wang, Xinghao Ding, Yue Huang:
A compressed sensing-based pan-sharpening using joint data fidelity and blind blurring kernel estimation. ICIP 2014: 5042-5046 - [c5]Xueyang Fu
, Yue Huang, Delu Zeng, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A fusion-based enhancing approach for single sandstorm image. MMSP 2014: 1-5 - 2013
- [c4]Xueyang Fu
, Delu Zeng, Yue Huang, Xinghao Ding, Xiao-Ping (Steven) Zhang:
A variational framework for single low light image enhancement using bright channel prior. GlobalSIP 2013: 1085-1088 - [c3]Jin Xie, Yue Huang, John W. Paisley, Xinghao Ding, Xiao-Ping (Steven) Zhang:
Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning. ICIP 2013: 2039-2042 - [c2]Xinghao Ding, John W. Paisley, Yue Huang, Xianbo Chen, Feng Huang, Xiao-Ping (Steven) Zhang:
Compressed sensing MRI with Bayesian dictionary learning. ICIP 2013: 2319-2323 - [c1]Yue Huang, Jun Zhang, Xin Chen, Delu Zeng, Xinghao Ding, Dandan Zhang, Qingfeng Cai:
Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme. ICONIP (1) 2013: 42-49 - [i1]Yue Huang, John W. Paisley, Xianbo Chen, Xinghao Ding, Feng Huang, Xiao-Ping (Steven) Zhang:
MR Image Reconstruction from Undersampled k-Space with Bayesian Dictionary Learning. CoRR abs/1302.2712 (2013)
Coauthor Index
aka: John William Paisley
aka: Xiao-Ping (Steven) Zhang
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