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Jin-Gang Yu
Person information
- unicode name: 余晋刚
- affiliation: South China University of Technology, School of Automation Science and Engineering, Guangzhou, China
- affiliation: University of Nebraska-Lincoln, Department of Computer Science and Engineering, Lincoln, NE, USA
- affiliation (PhD 2014): Huazhong University of Science and Technology, School of Automation, Wuhan, China
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2020 – today
- 2024
- [j23]Yansheng Li
, Junwei Luo
Learning to Holistically Detect Bridges From Large-Size VHR Remote Sensing Imagery. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11507-11523 (2024) - [j22]Kendi Li
An Electroencephalography-Based Brain-Computer Interface for Emotion Regulation With Virtual Reality Neurofeedback. IEEE Trans. Cogn. Dev. Syst. 16(4): 1405-1417 (2024) - [c15]Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, Jiayi Ma:
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. ICLR 2024 - [c14]Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia:
DMTG: One-Shot Differentiable Multi-Task Grouping. ICML 2024 - [i10]Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu:
Complete Instances Mining for Weakly Supervised Instance Segmentation. CoRR abs/2402.07633 (2024) - [i9]Yu Ming, Zihao Wu, Jie Yang, Danyi Li, Yuan Gao, Changxin Gao, Gui-Song Xia, Yuanqing Li, Li Liang, Jin-Gang Yu:
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation. CoRR abs/2402.16280 (2024) - [i8]Yuan Gao, Weizhong Zhang, Wenhan Luo
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost. CoRR abs/2405.05695 (2024) - [i7]Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia:
DMTG: One-Shot Differentiable Multi-Task Grouping. CoRR abs/2407.05082 (2024) - 2023
- [j21]Jin-Gang Yu
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images. Medical Image Anal. 85: 102748 (2023) - [j20]Beibei Yang
Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing. IEEE Trans. Cybern. 53(3): 1641-1652 (2023) - [j19]Jin-Gang Yu
Bayesian Collaborative Learning for Whole-Slide Image Classification. IEEE Trans. Medical Imaging 42(6): 1809-1821 (2023) - [j18]Xuehao Gao
Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition. IEEE Trans. Multim. 25: 405-417 (2023) - [j17]Shule Deng
Learning Relative Feature Displacement for Few-Shot Open-Set Recognition. IEEE Trans. Multim. 25: 5763-5774 (2023) - [c13]Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu:
Complete Instances Mining for Weakly Supervised Instance Segmentation. IJCAI 2023: 1142-1150 - [i6]Shuangping Huang, Yu Luo, Zhenzhou Zhuang, Jin-Gang Yu, Mengchao He, Yongpan Wang:
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model. CoRR abs/2303.06946 (2023) - [i5]Yansheng Li, Junwei Luo, Yongjun Zhang, Yihua Tan, Jin-Gang Yu, Song Bai:
Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery. CoRR abs/2312.02481 (2023) - 2021
- [j16]Jianjin Deng, Jin-Gang Yu:
A simple graph-based semi-supervised learning approach for imbalanced classification. Pattern Recognit. 118: 108026 (2021) - [j15]Jiarong Ou, Shule Deng, Jin-Gang Yu:
WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation. Sensors 21(10): 3475 (2021) - [j14]Yansheng Li
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10590-10603 (2021) - [c12]Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
Deep Graph Matching Under Quadratic Constraint. CVPR 2021: 5069-5078 - [c11]Shuangping Huang, Yu Luo
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model. ACM Multimedia 2021: 4591-4599 - [i4]Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia:
Deep Graph Matching under Quadratic Constraint. CoRR abs/2103.06643 (2021) - 2020
- [j13]Changxin Gao
Pose-guided spatiotemporal alignment for video-based person Re-identification. Inf. Sci. 527: 176-190 (2020) - [j12]Jin-Gang Yu
Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis. IEEE Trans. Image Process. 29: 389-404 (2020) - [c10]Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
Zero-Assignment Constraint for Graph Matching With Outliers. CVPR 2020: 3030-3039 - [c9]Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia
FGN: Fully Guided Network for Few-Shot Instance Segmentation. CVPR 2020: 9169-9178 - [c8]Lichao Xiao, Jin-Gang Yu, Zhifeng Liu, Jiarong Ou, Shule Deng, Zhenhua Yang, Yuanqing Li:
Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images. MICCAI (5) 2020: 449-458 - [i3]Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia:
Zero-Assignment Constraint for Graph Matching with Outliers. CoRR abs/2003.11928 (2020) - [i2]Zhibo Fan, Jin-Gang Yu, Zhihao Liang, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li:
FGN: Fully Guided Network for Few-Shot Instance Segmentation. CoRR abs/2003.13954 (2020)
2010 – 2019
- 2019
- [j11]Jin-Gang Yu
Progressively Decomposing Graph Matching. IEEE Access 7: 45349-45359 (2019) - [j10]Changxin Gao
Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification. Sensors 19(18): 3861 (2019) - [c7]Lichao Xiao, Jin-Gang Yu, Jiarong Ou, Zhifeng Liu:
Fine-Grained Classification of Endoscopic Tympanic Membrane Images. ICIP 2019: 230-234 - 2018
- [c6]Jiarong Ou, Jin-Gang Yu, Changxin Gao, Lichao Xiao, Zhifeng Liu:
Robust and Efficient Ellipse Fitting Using Tangent Chord Distance. ACCV (3) 2018: 183-199 - [c5]Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nong Sang:
Spatially Attentive Correlation Filters for Visual Tracking. ICIP 2018: 2695-2699 - 2017
- [j9]Changxin Gao
Robust Visual Tracking Using Exemplar-Based Detectors. IEEE Trans. Circuits Syst. Video Technol. 27(2): 300-312 (2017) - 2016
- [j8]Yansheng Li
A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences. Inf. Sci. 369: 548-563 (2016) - [j7]Jin-Gang Yu, Gui-Song Xia
Globally consistent correspondence of multiple feature sets using proximal Gauss-Seidel relaxation. Pattern Recognit. 51: 255-267 (2016) - [j6]Jun Chen, Yong Wang, Linbo Luo, Jin-Gang Yu, Jiayi Ma
Image retrieval based on image-to-class similarity. Pattern Recognit. Lett. 83: 379-387 (2016) - [j5]Changxin Gao
Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update. Sensors 16(4): 545 (2016) - [j4]Jin-Gang Yu
A Computational Model for Object-Based Visual Saliency: Spreading Attention Along Gestalt Cues. IEEE Trans. Multim. 18(2): 273-286 (2016) - [c4]Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang:
Temporally aligned pooling representation for video-based person re-identification. ICIP 2016: 4284-4288 - 2015
- [j3]Yansheng Li
Kernel regression in mixed feature spaces for spatio-temporal saliency detection. Comput. Vis. Image Underst. 135: 126-140 (2015) - [j2]Shengxiang Qi, Jin-Gang Yu, Jie Ma, Yansheng Li
Salient object detection via contrast information and object vision organization cues. Neurocomputing 167: 390-405 (2015) - 2014
- [j1]Jin-Gang Yu, Ji Zhao
Maximal Entropy Random Walk for Region-Based Visual Saliency. IEEE Trans. Cybern. 44(9): 1661-1672 (2014) - [c3]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Exemplar-based linear discriminant analysis for robust object tracking. ICIP 2014: 388-392 - [c2]Shengxiang Qi, Jin-Gang Yu, Ji Zhao, Jie Ma, Jinwen Tian:
Visual saliency detection using feature activity weighted decorrelation cues. ICIP 2014: 1140-1144 - [i1]Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang:
Exemplar-based Linear Discriminant Analysis for Robust Object Tracking. CoRR abs/1402.5697 (2014) - 2012
- [c1]Chao Tao, Yihua Tan, Jin-Gang Yu, Jin-Wen Tian:
Urban area detection using multiple Kernel Learning and graph cut. IGARSS 2012: 83-86
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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