Segmentation Using SubMarkov Random Walk. - Xingping Dong; Jianbing Shen; Luc Van Gool (EMMCVPR, 2014)

Interactive Cosegmentation Using Global and Local Energy Optimization. - Xingping Dong; Jianbing Shen; Ling Shao 001; Ming-Hsuan Yang 001 (IEEE Trans. Image Process., 2015)

Video Supervoxels Using Partially Absorbing Random Walks. - Yuling Liang; Jianbing Shen; Xingping Dong; Hanqiu Sun; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2016)

Sub-Markov Random Walk for Image Segmentation. - Xingping Dong; Jianbing Shen; Ling Shao 001; Luc Van Gool (IEEE Trans. Image Process., 2016)

Quadruplet Network with One-Shot Learning for Visual Tracking. - Xingping Dong; Jianbing Shen; Fatih Porikli (CoRR, 2017)

Hierarchical Superpixel-to-Pixel Dense Matching. - Xingping Dong; Jianbing Shen; Ling Shao 001 (IEEE Trans. Circuits Syst. Video Technol., 2017)

Higher Order Energies for Image Segmentation. - Jianbing Shen; Jianteng Peng; Xingping Dong; Ling Shao 001; Fatih Porikli (IEEE Trans. Image Process., 2017)

Occlusion-Aware Real-Time Object Tracking. - Xingping Dong; Jianbing Shen; Dajiang Yu; Wenguan Wang; Jianhong Liu; Hua Huang (IEEE Trans. Multim., 2017)

Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. - Xingping Dong; Jianbing Shen; Wenguan Wang; Yu Liu 074; Ling Shao 001; Fatih Porikli (CVPR, 2018)

Salient Object Detection Driven by Fixation Prediction. - Wenguan Wang; Jianbing Shen; Xingping Dong; Ali Borji (CVPR, 2018)

Triplet Loss in Siamese Network for Object Tracking. - Xingping Dong; Jianbing Shen (ECCV (13), 2018)

Fast Online Tracking With Detection Refinement. - Jianbing Shen; Dajiang Yu; Leyao Deng; Xingping Dong (IEEE Trans. Intell. Transp. Syst., 2018)

Teacher-Students Knowledge Distillation for Siamese Trackers. - Yuanpei Liu; Xingping Dong; Wenguan Wang; Jianbing Shen (CoRR, 2019)

Quadruplet Network With One-Shot Learning for Fast Visual Object Tracking. - Xingping Dong; Jianbing Shen; Dongming Wu; Kan Guo; Xiaogang Jin 001; Fatih Porikli (IEEE Trans. Image Process., 2019)

Submodular Function Optimization for Motion Clustering and Image Segmentation. - Jianbing Shen; Xingping Dong; Jianteng Peng; Xiaogang Jin 001; Ling Shao 001; Fatih Porikli (IEEE Trans. Neural Networks Learn. Syst., 2019)

CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. - Xingping Dong; Jianbing Shen; Ling Shao 001; Fatih Porikli (ECCV (20), 2020)

Inferring Salient Objects from Human Fixations. - Wenguan Wang; Jianbing Shen; Xingping Dong; Ali Borji; Ruigang Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Adaptive Nonlocal Random Walks for Image Superpixel Segmentation. - Hui Wang; Jianbing Shen; Junbo Yin; Xingping Dong; Hanqiu Sun; Ling Shao 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Visual Object Tracking by Hierarchical Attention Siamese Network. - Jianbing Shen; Xin Tang; Xingping Dong; Ling Shao 001 (IEEE Trans. Cybern., 2020)

Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient. - Dongming Wu; Xingping Dong; Jianbing Shen; Steven C. H. Hoi (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning To Fuse Asymmetric Feature Maps in Siamese Trackers. - Wencheng Han; Xingping Dong; Fahad Shahbaz Khan; Ling Shao 001; Jianbing Shen (CVPR, 2021)

The Ninth Visual Object Tracking VOT2021 Challenge Results. - 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; et al. (ICCVW, 2021)

Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. - Xingping Dong; Jianbing Shen; Wenguan Wang; Ling Shao 001; Haibin Ling; Fatih Porikli (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation. - Dongming Wu; Xingping Dong; Ling Shao 001; Jianbing Shen (CVPR, 2022)

Learning Disentanglement with Decoupled Labels for Vision-Language Navigation. - Wenhao Cheng; Xingping Dong; Salman H. Khan 001; Jianbing Shen (ECCV (36), 2022)

Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. - Xingping Dong; Jianbing Shen; Ling Shao 001 (ECCV (20), 2022)

Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. - Xingping Dong; Ling Shao 001; Shengcai Liao (CoRR, 2022)

Distilled Siamese Networks for Visual Tracking. - Jianbing Shen; Yuanpei Liu; Xingping Dong; Xiankai Lu; Fahad Shahbaz Khan; Steven C. H. Hoi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Referring Multi-Object Tracking. - Dongming Wu; Wencheng Han; Tiancai Wang; Xingping Dong; Xiangyu Zhang 005; Jianbing Shen (CVPR, 2023)

Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving. - Jiawei Liu; Xingping Dong; Sanyuan Zhao; Jianbing Shen (CoRR, 2023)

Adaptive Siamese Tracking With a Compact Latent Network. - Xingping Dong; Jianbing Shen; Fatih Porikli; Jiebo Luo 001; Ling Shao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction. - Yanghong Liu; Xingping Dong; Yutian Lin; Mang Ye (IJCAI, 2024)

Bootstrapping Referring Multi-Object Tracking. - Yani Zhang; Dongming Wu; Wencheng Han; Xingping Dong (CoRR, 2024)

Towards High-Fidelity 3D Portrait Generation with Rich Details by Cross-View Prior-Aware Diffusion. - Haoran Wei; Wencheng Han; Xingping Dong; Jianbing Shen (CoRR, 2024)

Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning. - Xingping Dong; Tianran Ouyang; Shengcai Liao; Bo Du 001; Ling Shao 001 (IEEE Trans. Image Process., 2024)

TextFormer: A Query-based End-to-end Text Spotter with Mixed Supervision. - Yukun Zhai; Xiaoqiang Zhang 006; Xiameng Qin; Sanyuan Zhao; Xingping Dong; Jianbing Shen (Mach. Intell. Res., 2024)

Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks. - Wencheng Han; Xingping Dong; Yiyuan Zhang; David J. Crandall; Cheng-Zhong Xu 001; Jianbing Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction. - Dubing Chen; Huan Zheng; Jin Fang; Xingping Dong; Xianfei Li; Wenlong Liao; Tao He; Pai Peng; Jianbing Shen (CVPR, 2025)

A Deep Learning-Based Precipitation Nowcasting Model Fusing GNSS-PWV and Radar Echo Observations. - Mengjie Liu; Weixing Zhang; Yidong Lou; Xingping Dong; Zhenyi Zhang; Xiaohong Zhang 008 (IEEE Trans. Geosci. Remote. Sens., 2025)

Perception Assisted Transformer for Unsupervised Object Re-Identification. - Shuoyi Chen; Mang Ye; Xingping Dong; Bo Du 001 (IEEE Trans. Image Process., 2025)

Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS. - Chengkai Yang; Xingping Dong; Xiaofen Zong (CoRR, 2025)

Grounding Beyond Detection: Enhancing Contextual Understanding in Embodied 3D Grounding. - Yani Zhang; Dongming Wu; Hao Shi; Yingfei Liu; Tiancai Wang; Haoqiang Fan; Xingping Dong (CoRR, 2025)

PatchTraj: Unified Time-Frequency Representation Learning via Dynamic Patches for Trajectory Prediction. - Yanghong Liu; Xingping Dong; Ming Li; Weixing Zhang; Yidong Lou (CoRR, 2025)

Semantic-Aware Pseudo-Labeling for Unsupervised Meta-Learning. - Tianran Ouyang; Xingping Dong; Mang Ye; Bo Du 001; Ling Shao 001; Jianbing Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

High-Fidelity and High-Efficiency Talking Portrait Synthesis With Detail-Aware Neural Radiance Fields. - Muyu Wang; Sanyuan Zhao; Xingping Dong; Jianbing Shen (IEEE Trans. Vis. Comput. Graph., 2025)