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2020 – today
- 2024
[j85]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)- [j84]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) - [j83]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) - [j82]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) - [j81]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) - [c106]Huangxing Lin, Yuhang Dong, Xinghao Ding, Tianpeng Liu, Yongxiang Liu:
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration. AAAI 2024: 3386-3394 - [c105]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 - [c104]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 - [c103]Wenbo Zhou, Guoqing Zheng, Xinghao Ding:
Dataset Distillation with Channel Efficient Process. ICASSP 2024: 5505-5509 - [c102]Hedeng Yu, Zhenlong Xiao, Xinghao Ding, Xianbin Wang:
High-Resolution Wideband DOA Estimation Based on Multi-Frequency Cyclic Rank-Minimization. ICC 2024: 4397-4402 - [i57]Zhiwen Fan, Wenyan Cong, Kairun Wen, Kevin Wang, Jian Zhang, Xinghao Ding, Danfei Xu, Boris Ivanovic, Marco Pavone, Georgios Pavlakos, Zhangyang Wang, Yue Wang:
InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. CoRR abs/2403.20309 (2024) - [i56]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) - [i55]Yunlong Lin, Tian Ye, Sixiang Chen, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, Xinghao Ding:
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement. CoRR abs/2407.14900 (2024) - [i54]Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang:
Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation. CoRR abs/2408.03608 (2024) - 2023
- [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]Yijin Mao, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding:
Adaptive nonlinear group delay mode estimation. Signal Process. 212: 109181 (2023) - [j72]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) - [j71]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) - [j70]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding:
Unpaired Speckle Extraction for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j69]Manni Liu, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley:
A Multiscale Approach to Deep Blind Image Quality Assessment. IEEE Trans. Image Process. 32: 1656-1667 (2023) - [j68]Wei Lin, Xinghao Ding, Yue Huang, Huanqiang Zeng:
Self-Supervised Video-Based Action Recognition With Disturbances. IEEE Trans. Image Process. 32: 2493-2507 (2023) - [j67]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) - [j66]Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin, Qi Tian:
A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension. IEEE Trans. Neural Networks Learn. Syst. 34(1): 134-143 (2023) - [j65]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) - [j64]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) - [c101]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 - [c100]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 - [c99]Haiyan Wei, Zhenlong Xiao, Xinghao Ding, Xianbin Wang:
Topology Design for Robust IoT Data Gathering via Bayesian Networks. GLOBECOM 2023: 4522-4527 - [c98]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-Dynamic Knowledge Distillation. ICASSP 2023: 1-5 - [c97]Shaocong Yu, Xueye Chu, Zhenglin Zhou, Jiefeng Guo, Xinghao Ding:
Joint Under-Sampling Pattern Optimization and Content-Based Reconstruction Network for Fast MRI Reconstruction. ICIP 2023: 730-734 - [c96]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 - [c95]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 - [c94]Zhijie Rao, Luyao Tang, Yue Huang, Xinghao Ding:
Domain Generalized Object Detection with Triple Graph Reasoning Network. ICONIP (3) 2023: 314-327 - [c93]Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding:
Domain Generalization via Implicit Domain Augmentation. ICONIP (8) 2023: 437-448 - [c92]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 - [c91]Yunlong Lin, Zhenqi Fu, Ge Meng, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding:
Domain-irrelevant Feature Learning for Generalizable Pan-sharpening. ACM Multimedia 2023: 3287-3296 - [c90]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 - [c89]Guoqing Zheng, Yuming Hu, Zhenlong Xiao, Xinghao Ding:
Graph-Based Dependency-Aware Non-Intrusive Load Monitoring. PRCV (10) 2023: 89-100 - [c88]Lidong Cheng, Zhenyu Kuang, Hongyang Zhang, Xinghao Ding, Yue Huang:
Boosting Generalization Performance in Person Re-identification. PRCV (10) 2023: 174-185 - [c87]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 - [c86]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 - [c85]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 - [c84]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 - [c83]Ying Xu, Chuyang Lin, Yijin Zhong, Yue Huang, Xinghao Ding:
Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization. PRCV (4) 2023: 418-429 - [c82]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 - [i53]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) - [i52]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) - [i51]Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng:
Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning. CoRR abs/2309.09222 (2023) - 2022
- [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zheng-Jun Zha:
A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6802-6816 (2022) - [c81]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 - [c80]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. ECCV (11) 2022: 19-35 - [c79]Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. ECCV (18) 2022: 465-482 - [c78]Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding:
A Robust Object Segmentation Network for UnderWater Scenes. ICASSP 2022: 2629-2633 - [c77]Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement Via Learning Water Type Desensitized Representations. ICASSP 2022: 2764-2768 - [c76]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 - [c75]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 - [c74]Hao Liang, Xinghao Ding, Andreas Jakobsson, Xiaotong Tu, Yue Huang:
Adaptive Variational Nonlinear Chirp Mode Decomposition. ICASSP 2022: 5632-5636 - [c73]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 - [c72]Guanxing Zhou, Yihong Zhuang, Xinghao Ding, Yue Huang, Saqlain Abbas, Xiaotong Tu:
A Simple Siamese Framework for Vibration Signal Representations. ICIP 2022: 2456-2460 - [c71]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 - [c70]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 - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. CoRR abs/2207.05409 (2022) - [i44]Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. CoRR abs/2207.09689 (2022) - [i43]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-dynamic Knowledge Distillation. CoRR abs/2211.17059 (2022) - 2021
- [j48]Xueyang Fu, Qi Qi, Zheng-Jun Zha, Xinghao Ding, Feng Wu, John W. Paisley:
Successive Graph Convolutional Network for Image De-raining. Int. J. Comput. Vis. 129(5): 1691-1711 (2021) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [c69]Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding:
Rain Streak Removal via Dual Graph Convolutional Network. AAAI 2021: 1352-1360 - [c68]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 - [c67]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 - [c66]Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji:
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. ICCV 2021: 2054-2064 - [c65]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 - [c64]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 - [c63]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Noise2Grad: Extract Image Noise to Denoise. IJCAI 2021: 830-836 - [c62]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 - [c61]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 - [i42]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) - [i41]Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement via Learning Water Type Desensitized Representations. CoRR abs/2102.00676 (2021) - [i40]Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding:
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation. CoRR abs/2103.09094 (2021) - [i39]