Xingping Dong

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Object Tracking

Policy Gradient

Object Detection

Top Venues

IEEE Trans. Image Process.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yukun Zhai, Xiaoqiang Zhang, Xiameng Qin, Sanyuan Zhao, Xingping Dong, Jianbing Shen
TextFormer: A Query-based End-to-end Text Spotter with Mixed Supervision. Mach. Intell. Res. 21 (4) (2024)
Yani Zhang, Dongming Wu, Wencheng Han, Xingping Dong
Bootstrapping Referring Multi-Object Tracking. CoRR (2024)
Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao
Adaptive Siamese Tracking with a Compact Latent Network. CoRR (2023)
Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, Jianbing Shen
Referring Multi-Object Tracking. CVPR (2023)
Yukun Zhai, Xiaoqiang Zhang, Xiameng Qin, Sanyuan Zhao, Xingping Dong, Jianbing Shen
TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision. CoRR (2023)
Jiawei Liu, Xingping Dong, Sanyuan Zhao, Jianbing Shen
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving. CoRR (2023)
Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, Jianbing Shen
Referring Multi-Object Tracking. CoRR (2023)
Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, Ling Shao
Adaptive Siamese Tracking With a Compact Latent Network. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Xingping Dong, Ling Shao, Shengcai Liao
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. CoRR (2022)
Wenhao Cheng, Xingping Dong, Salman H. Khan, Jianbing Shen
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation. ECCV (36) (2022)
Xingping Dong, Jianbing Shen, Ling Shao
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. ECCV (20) (2022)
Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi
Distilled Siamese Networks for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Xingping Dong, Jianbing Shen, Ling Shao
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. CoRR (2022)
Dongming Wu, Xingping Dong, Ling Shao, Jianbing Shen
Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation. CVPR (2022)
Xingping Dong, Jianbing Shen, Wenguan Wang, Ling Shao, Haibin Ling, Fatih Porikli
Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 43 (5) (2021)
Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhen-Hua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Gunsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW (2021)
Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen
Learning To Fuse Asymmetric Feature Maps in Siamese Trackers. CVPR (2021)
Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji, Ruigang Yang
Inferring Salient Objects from Human Fixations. IEEE Trans. Pattern Anal. Mach. Intell. 42 (8) (2020)
Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. ECCV (20) (2020)
Hui Wang, Jianbing Shen, Junbo Yin, Xingping Dong, Hanqiu Sun, Ling Shao
Adaptive Nonlocal Random Walks for Image Superpixel Segmentation. IEEE Trans. Circuits Syst. Video Technol. 30 (3) (2020)
Dongming Wu, Xingping Dong, Jianbing Shen, Steven C. H. Hoi
Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers. CoRR (2020)
Jianbing Shen, Xin Tang, Xingping Dong, Ling Shao
Visual Object Tracking by Hierarchical Attention Siamese Network. IEEE Trans. Cybern. 50 (7) (2020)
Jianbing Shen, Xingping Dong, Jianteng Peng, Xiaogang Jin, Ling Shao, Fatih Porikli
Submodular Function Optimization for Motion Clustering and Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 30 (9) (2019)
Xingping Dong, Jianbing Shen, Dongming Wu, Kan Guo, Xiaogang Jin, Fatih Porikli
Quadruplet Network With One-Shot Learning for Fast Visual Object Tracking. IEEE Trans. Image Process. 28 (7) (2019)
Yuanpei Liu, Xingping Dong, Wenguan Wang, Jianbing Shen
Teacher-Students Knowledge Distillation for Siamese Trackers. CoRR (2019)
Xingping Dong, Jianbing Shen
Triplet Loss in Siamese Network for Object Tracking. ECCV (13) (2018)
Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli
Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. CVPR (2018)
Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji
Salient Object Detection Driven by Fixation Prediction. CVPR (2018)
Jianbing Shen, Dajiang Yu, Leyao Deng, Xingping Dong
Fast Online Tracking With Detection Refinement. IEEE Trans. Intell. Transp. Syst. 19 (1) (2018)
Xingping Dong, Jianbing Shen, Dajiang Yu, Wenguan Wang, Jianhong Liu, Hua Huang
Occlusion-Aware Real-Time Object Tracking. IEEE Trans. Multim. 19 (4) (2017)
Xingping Dong, Jianbing Shen, Ling Shao
Hierarchical Superpixel-to-Pixel Dense Matching. IEEE Trans. Circuits Syst. Video Technol. 27 (12) (2017)
Xingping Dong, Jianbing Shen, Fatih Porikli
Quadruplet Network with One-Shot Learning for Visual Tracking. CoRR (2017)
Jianbing Shen, Jianteng Peng, Xingping Dong, Ling Shao, Fatih Porikli
Higher Order Energies for Image Segmentation. IEEE Trans. Image Process. 26 (10) (2017)
Yuling Liang, Jianbing Shen, Xingping Dong, Hanqiu Sun, Xuelong Li
Video Supervoxels Using Partially Absorbing Random Walks. IEEE Trans. Circuits Syst. Video Technol. 26 (5) (2016)
Xingping Dong, Jianbing Shen, Ling Shao, Luc Van Gool
Sub-Markov Random Walk for Image Segmentation. IEEE Trans. Image Process. 25 (2) (2016)
Xingping Dong, Jianbing Shen, Ling Shao, Ming-Hsuan Yang
Interactive Cosegmentation Using Global and Local Energy Optimization. IEEE Trans. Image Process. 24 (11) (2015)
Xingping Dong, Jianbing Shen, Luc Van Gool
Segmentation Using SubMarkov Random Walk. EMMCVPR (2014)