Jin-Gang Yu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 39

Top Topics

Weakly Supervised

Visual Saliency

Visual Tracking

Top Venues

IEEE Trans. Multim.

Publications

Kendi Li, Weichen Huang, Wei Gao, Zijing Guan, Qiyun Huang, Jin-Gang Yu, Zhu Liang Yu, Yuanqing Li
An Electroencephalography-Based Brain-Computer Interface for Emotion Regulation With Virtual Reality Neurofeedback. IEEE Trans. Cogn. Dev. Syst. 16 (4) (2024)
Yuan Gao, Shuguo Jiang, Moran Li, Jin-Gang Yu, Gui-Song Xia
DMTG: One-Shot Differentiable Multi-Task Grouping. CoRR (2024)
Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu
Complete Instances Mining for Weakly Supervised Instance Segmentation. CoRR (2024)
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. CoRR (2024)
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)
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 (2024)
Jin-Gang Yu, Zihao Wu, Yu Ming, Shule Deng, Yuanqing Li, Caifeng Ou, Chunjiang He, Baiye Wang, Pusheng Zhang, Yu Wang
Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images. Medical Image Anal. 85 (2023)
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 (2023)
Shuangping Huang, Yu Luo, Zhenzhou Zhuang, Jin-Gang Yu, Mengchao He, Yongpan Wang
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model. CoRR (2023)
Jin-Gang Yu, Zihao Wu, Yu Ming, Shule Deng, Qihang Wu, Zhongtang Xiong, Tianyou Yu, Gui-Song Xia, Qingping Jiang, Yuanqing Li
Bayesian Collaborative Learning for Whole-Slide Image Classification. IEEE Trans. Medical Imaging 42 (6) (2023)
Shule Deng, Jin-Gang Yu, Zihao Wu, Hongxia Gao, Yansheng Li, Yang Yang
Learning Relative Feature Displacement for Few-Shot Open-Set Recognition. IEEE Trans. Multim. 25 (2023)
Xuehao Gao, Yang Yang, Yimeng Zhang, Maosen Li, Jin-Gang Yu, Shaoyi Du
Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition. IEEE Trans. Multim. 25 (2023)
Beibei Yang, Changqian Yu, Jin-Gang Yu, Changxin Gao, Nong Sang
Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing. IEEE Trans. Cybern. 53 (3) (2023)
Zecheng Li, Zening Zeng, Yuqi Liang, Jin-Gang Yu
Complete Instances Mining for Weakly Supervised Instance Segmentation. IJCAI (2023)
Shuangping Huang, Yu Luo, Zhenzhou Zhuang, Jin-Gang Yu, Mengchao He, Yongpan Wang
Context-Aware Selective Label Smoothing for Calibrating Sequence Recognition Model. ACM Multimedia (2021)
Jiarong Ou, Shule Deng, Jin-Gang Yu
WS-RCNN: Learning to Score Proposals for Weakly Supervised Instance Segmentation. Sensors 21 (10) (2021)
Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
Deep Graph Matching Under Quadratic Constraint. CVPR (2021)
Yansheng Li, Zhihui Zhu, Jin-Gang Yu, Yongjun Zhang
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification. IEEE Trans. Geosci. Remote. Sens. 59 (12) (2021)
Jianjin Deng, Jin-Gang Yu
A simple graph-based semi-supervised learning approach for imbalanced classification. Pattern Recognit. 118 (2021)
Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
Deep Graph Matching under Quadratic Constraint. CoRR (2021)
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 (2020)
Changxin Gao, Yang Chen, Jin-Gang Yu, Nong Sang
Pose-guided spatiotemporal alignment for video-based person Re-identification. Inf. Sci. 527 (2020)
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)
Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
Zero-Assignment Constraint for Graph Matching With Outliers. CVPR (2020)
Jin-Gang Yu, Yansheng Li, Changxin Gao, Hongxia Gao, Gui-Song Xia, Zhu Liang Yu, Yuanqing Li
Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis. IEEE Trans. Image Process. 29 (2020)
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. CVPR (2020)
Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia
Zero-Assignment Constraint for Graph Matching with Outliers. CoRR (2020)
Lichao Xiao, Jin-Gang Yu, Jiarong Ou, Zhifeng Liu
Fine-Grained Classification of Endoscopic Tympanic Membrane Images. ICIP (2019)
Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang
Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification. Sensors 19 (18) (2019)
Jin-Gang Yu, Lichao Xiao, Jiarong Ou, Zhifeng Liu
Progressively Decomposing Graph Matching. IEEE Access 7 (2019)
Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nong Sang
Spatially Attentive Correlation Filters for Visual Tracking. ICIP (2018)
Jiarong Ou, Jin-Gang Yu, Changxin Gao, Lichao Xiao, Zhifeng Liu
Robust and Efficient Ellipse Fitting Using Tangent Chord Distance. ACCV (3) (2018)
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang
Robust Visual Tracking Using Exemplar-Based Detectors. IEEE Trans. Circuits Syst. Video Technol. 27 (2) (2017)
Changxin Gao, Huizhang Shi, Jin-Gang Yu, Nong Sang
Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update. Sensors 16 (4) (2016)
Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang
Temporally aligned pooling representation for video-based person re-identification. ICIP (2016)
Jin-Gang Yu, Gui-Song Xia, Ashok Samal, Jinwen Tian
Globally consistent correspondence of multiple feature sets using proximal Gauss-Seidel relaxation. Pattern Recognit. 51 (2016)
Jun Chen, Yong Wang, Linbo Luo, Jin-Gang Yu, Jiayi Ma
Image retrieval based on image-to-class similarity. Pattern Recognit. Lett. 83 (2016)
Jin-Gang Yu, Gui-Song Xia, Changxin Gao, Ashok Samal
A Computational Model for Object-Based Visual Saliency: Spreading Attention Along Gestalt Cues. IEEE Trans. Multim. 18 (2) (2016)
Yansheng Li, Yongjun Zhang, Jin-Gang Yu, Yihua Tan, Jinwen Tian, Jiayi Ma
A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences. Inf. Sci. 369 (2016)
Shengxiang Qi, Jin-Gang Yu, Jie Ma, Yansheng Li, Jinwen Tian
Salient object detection via contrast information and object vision organization cues. Neurocomputing 167 (2015)
Yansheng Li, Yihua Tan, Jin-Gang Yu, Shengxiang Qi, Jinwen Tian
Kernel regression in mixed feature spaces for spatio-temporal saliency detection. Comput. Vis. Image Underst. 135 (2015)
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang
Exemplar-based linear discriminant analysis for robust object tracking. ICIP (2014)
Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang
Exemplar-based Linear Discriminant Analysis for Robust Object Tracking. CoRR (2014)
Jin-Gang Yu, Ji Zhao, Jinwen Tian, Yihua Tan
Maximal Entropy Random Walk for Region-Based Visual Saliency. IEEE Trans. Cybern. 44 (9) (2014)
Shengxiang Qi, Jin-Gang Yu, Ji Zhao, Jie Ma, Jinwen Tian
Visual saliency detection using feature activity weighted decorrelation cues. ICIP (2014)
Chao Tao, Yihua Tan, Jin-Gang Yu, Jin-Wen Tian
Urban area detection using multiple Kernel Learning and graph cut. IGARSS (2012)