目前从事人工智能、计算机视觉、机器学习等方向的研究。在小样本学习、目标跟踪、图像/视频目标分割、视觉语言导航、深度强化学习等子领域均有高质量研究成果，近年来比较关注人工智能的前沿问题，如自动驾驶中的视觉感知技术、元宇宙相关的三维重建模型、医疗场景与计算机视觉的前沿交叉领域。
学术成果可参考英文主页与谷歌学术：
个人英文主页：https://xingpingdong.github.io
谷歌学术：https://scholar.google.com/citations?user=3h3tZpAAAAAJ&hl=en
部分成果如下
2024
[28] Yanghong Liu, Xingping Dong*, Yutian Lin, Mang Ye, “DifTraj: Diffusion Inspired by Intrinsic Intention and Extrinsic Interaction for Multi-Modal Trajectory Prediction”, in Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2024. (CCF Rank A) pdf
[27] Wencheng Han, Xingping Dong, Yiyuan Zhang, David Crandall, Cheng-Zhong Xu, Jianbing Shen, “Asymmetric Convolution: An Efficient and Generalized Method to Fuse Feature Maps in Multiple Vision Tasks,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), doi: 10.1109/TPAMI.2024.3400873. (SCI, IF=20.8, CCF Rank A) IEEE code
2023
[26] Dongming Wu, Wencheng Han, Tiancai Wang, Xingping Dong, Xiangyu Zhang, and Jianbing Shen. “Referring Multi-Object Tracking”, In CVPR, 2023. (CCF Rank A) arXiv, code
[25] Xingping Dong, Jianbing Shen, Fatih Porikli, Jiebo Luo, and Ling Shao, “Adaptive Siamese Tracking with a Compact Latent Network,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(7): 8049-8062, 2023. (SCI, IF=24.314, CCF Rank A) arXiv IEEE
2022
[24] Wenhao Cheng#, Xingping Dong#, Salman Khan, and Jianbing Shen. Learning Disentanglement with Decoupled Labels for Vision-Language Navigation. In ECCV, 2022. pdf, code (Oral, #Equal contribution)
[23] Xingping Dong, Jianbing Shen, and Ling Shao, Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. In ECCV, 2022. pdf, code
[21] Dongming Wu#, Xingping Dong#, Ling Shao, and Jianbing Shen. Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation. In CVPR, 2022. (CCF Rank A) pdf (#Equal contribution)
2021
[21] Jianbing Shen#, Yuanpei Liu#, Xingping Dong#, Xiankai Lu, Fahad Shahbaz Khan, and Steven CH Hoi. Distilled Siamese Networks for Visual Tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (SCI, IF=24.314, CCF Rank A) (#Equal contribution)
[20] Wencheng Han#, Xingping Dong#, Fahad Shahbaz Khan, Ling Shao, and Jianbing Shen. Learning to Fuse Asymmetric Feature Maps in Siamese Trackers. In CVPR, 2021. (CCF Rank A) pdf, code (#Equal contribution)
2020
[19] Xingping Dong, Jianbing Shen, Ling Shao, and Fatih Porikli. CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. In ECCV, 2020. pdf(researchgate), code
[18] Dongming Wu, Xingping Dong, Jianbing Shen, and Steven CH Hoi. Reducing Estimation Bias via Triplet-Average Deep Deterministic Policy Gradient. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020. (SCI, IF=14.255). pdf(researchgate)
[17] Jianbing Shen, Xin Tang, Xingping Dong, and Ling Shao. Visual object tracking by hierarchical attention siamese network. IEEE Trans. on Cybernetics (TCYB), 50(7):3068–3080, 2020. (SCI, IF=19.118).
2019
[16] Xingping Dong, Jianbing Shen, Wenguan Wang, Ling Shao, Haibin Ling, and Fatih Porikli. Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (SCI, IF=24.314, CCF Rank A, ESI Highly Cited (1%) Paper). pdf(researchgate), code, BibTex
[15] Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji, and Ruigang Yang. Inferring Salient Objects from Human Fixations. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (SCI, IF=24.314, CCF Rank A). pdf (researchgate), code
[14] Xingping Dong, Jianbing Shen, Dongming Wu, Kan Guo, Xiaogang Jin, and Fatih Porikli. Quadruplet network with one-shot learning for fast visual object tracking. IEEE Trans. on Image Processing (TIP), 2019. (SCI, IF=11.041, CCF Rank A, ESI Highly Cited (1%), and Hot (0.1%) Paper). pdf (researchgate)
[13] Hui Wang, Jianbing Shen, Junbo Yin, Xingping Dong, Hanqiu Sun, and Ling Shao. Adaptive Nonlocal Random Walks for Image Superpixel Segmentation. IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2019. (SCI, IF=5.859). pdf (researchgate)
2018
[12] Xingping Dong and Jianbing Shen. Triplet loss in siamese network for object tracking. In ECCV, 2018. pdf (researchgate), code
[11] Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, and Fatih Porikli. Hyperparameter optimization for tracking with continuous deep q-learning. In IEEE CVPR, 518–527, 2018. (CCF Rank A) pdf (researchgate), code
[10] Wenguan Wang, Jianbing Shen, Xingping Dong, and Ali Borji. Salient object detection driven by fixation prediction. In IEEE CVPR, 1711–1720, 2018. (CCF Rank A) pdf (researchgate), code
[9] Jianbing Shen, Xingping Dong, Jianteng Peng, Yu Liu, Ling Shao, and Fatih Porikli. Submodular function optimization for motion clustering and image segmentation. IEEE Trans. on Neural Networks and Learning Systemspdf (TNNLS), 2018. (SCI, IF=14.255). pdf (researchgate)
2017
[8] Xingping Dong, Jianbing Shen, Dajiang Yu, Wenguan Wang, Jianhong Liu, and Hua Huang. Occlusion-aware real-time object tracking. IEEE Trans. on Multimedia (TMM), 19(4):763–771, 2017.(SCI, IF=8.182, ESI Highly Cited (1%) Paper) pdf (researchgate), code
[7] Jianbing Shen, Jianteng Peng, Xingping Dong, Ling Shao, and Fatih Porikli. Higher order energies for image segmentation. IEEE Trans. on Image Processing (TIP), 26(10):4911–4922, 2017. (SCI, IF=11.041, CCF Rank A). pdf, code
[6] Jianbing Shen, Dajiang Yu, Leyao Deng, and Xingping Dong. Fast online tracking with detection refinement. IEEE Trans. on Intelligent Transportation Systems (TITS), 2017. (SCI, IF=9.551) pdf (researchgate)
2016
[5] Xingping Dong, Jianbing Shen, Ling Shao, and Luc Van Gool. Sub-markov random walk for image segmentation. IEEE Trans. on Image Processing (TIP), 25(2):516–527, 2016. (SCI, IF=11.041, CCF Rank A, ESI Highly Cited (1%) Paper). pdf (researchgate), code
[4] Xingping Dong, Jianbing Shen, and Ling Shao. Hsp2p: hierarchical superpixel-to-pixel dense image matching. IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2016. (SCI, IF=5.859) pdf (researchgate), code
[3] Yuling Liang, Jianbing Shen, Xingping Dong, Hanqiu Sun, and Xuelong Li. Video supervoxels using partially absorbing random walks. IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 26(5):928–938, 2016. (SCI, IF=5.859). code
2015 and before
[2] Xingping Dong, Jianbing Shen, Ling Shao, and Ming-Hsuan Yang. Interactive cosegmentation using global and local energy optimization. IEEE Trans. on Image Processing (TIP), 11(24):3966–3977, 2015. (SCI, IF=11.041, CCF Rank A). pdf (researchgate), code
[1] Xingping Dong, Jianbing Shen, and Luc Van Gool. Segmentation Using SubMarkov Random Walk. EMMCVPR 2014: 237-248 pdf (researchgate)