• My new homepage is on xingpingdong.github.io.

RESEARCH INTEREST

I am interested in computer vision and machine learning problems. Typically, I am working on (1) Visual object tracking, (2) Deep reinforcement learning, (3) Image segmentation, (4) Few shot learning, (5) Neural rendering.

NEWS

• 07/2022, two papers are accepted to ECCV'22, including one Oral paper

• 03/2022, one paper is accepted to CVPR'22

• 11/2021, one paper is accepted to TPAMI

• 03/2021, one paper is accepted to CVPR'21

• 07/2020, one paper is accepted to ECCV'20

• 01/2020, one paper is accepted to TNNLS

• 12/2019, the extended version of our HP tracker (CVPR'18) is accepted to TPAMI.

PUBLICATION 

2022

• Wenhao Cheng*, Xingping Dong*, Salman Khan, Jianbing Shen

Learning Disentanglement with Decoupled Labels for Vision-Language Navigation. In ECCV, 2022. [pdf][code] (Oral, *Equal contribution)

• Xingping Dong, Jianbing Shen, Ling Shao

Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning. In ECCV, 2022. [pdf][code]

• Dongming Wu*, Xingping Dong*, Ling Shao, Jianbing Shen

Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation. In CVPR, 2022. [pdf] (*Equal contribution)

2021

• Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven CH Hoi

Distilled Siamese Networks for Visual Tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (SCI, IF=17.730)

• Wencheng Han*, Xingping Dong*, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen.

Learning to Fuse Asymmetric Feature Maps in Siamese Trackers. In CVPR, 2021. [pdf][code] (*Equal contribution)

2020

• Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli.

CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. In ECCV, 2020. [pdf(researchgate)][code]

• Dongming Wu, Xingping Dong, Jianbing Shen, 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=11.683). [pdf(researchgate)][BibTex]

2019

• Xingping Dong, Jianbing Shen, Wenguan Wang, Ling Shao, Haibin Ling, Fatih Porikli.

Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (SCI, IF=17.730, ESI Highly Cited (1%) Paper). [pdf(researchgate)][code][BibTex]

• Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji, Ruigang Yang. 

Inferring Salient Objects from Human Fixations. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019. (SCI, IF=17.730). [pdf (researchgate)][code]

• 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. on Image Processing (TIP), 2019. (SCI, IF=6.79, ESI Highly Cited (1%), and Hot (0.1%) Paper). [pdf (researchgate)]

• Hui Wang, Jianbing Shen, Junbo Yin, Xingping Dong, Hanqiu Sun, Ling Shao. 

Adaptive Nonlocal Random Walks for Image Superpixel Segmentation. IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2019. (SCI, IF=4.046). [pdf (researchgate)]

2018

• Xingping Dong, Jianbing Shen. 

Triplet loss in siamese network for object tracking. In ECCV, 2018. [pdf (researchgate)] [code]

• Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli. 

Hyperparameter optimization for tracking with continuous deep q-learning. In IEEE CVPR, 518–527, 2018. [pdf (researchgate)][code]

• Wenguan Wang, Jianbing Shen, Xingping Dong, Ali Borji. 

Salient object detection driven by fixation prediction. In IEEE CVPR, 1711–1720, 2018. [pdf (researchgate)] [code]

• Jianbing Shen, Xingping Dong, Jianteng Peng, Yu Liu, Ling Shao, Fatih Porikli. 

Submodular function optimization for motion clustering and image segmentation. IEEE Trans. on Neural Networks and Learning Systemspdf (TNNLS), 2018. (SCI, IF=11.683). [pdf (researchgate)]

2017

• XingpingDong, Jianbing Shen, Dajiang Yu, Wenguan Wang, Jianhong Liu, Hua Huang. 

Occlusion-aware real-time object tracking. IEEE Trans. on Multimedia (TMM), 19(4):763–771, 2017.(SCI, IF=5.452, ESI Highly Cited (1%) Paper) [pdf (researchgate)] [code]

• Jianbing Shen, Jianteng Peng, Xingping Dong, Ling Shao, Fatih Porikli. 

Higher order energies for image segmentation. IEEE Trans. on Image Processing (TIP), 26(10):4911–4922, 2017. (SCI, IF=6.79). [pdf] [code]

• Jianbing Shen, Dajiang Yu, Leyao Deng, Xingping Dong. 

Fast online tracking with detection refinement. IEEE Trans. on Intelligent Transportation Systems (TITS), 2017. (SCI, IF=5.744) [pdf (researchgate)]

2016

• Xingping Dong, Jianbing Shen, Ling Shao, Luc Van Gool.

Sub-markov random walk for image segmentation. IEEE Trans. on Image Processing (TIP), 25(2):516–527, 2016.(SCI, IF=6.79, ESI Highly Cited (1%) Paper). [pdf (researchgate)] [code]

• Xingping Dong, Jianbing Shen, Ling Shao.

Hsp2p: hierarchical superpixel-to-pixel dense image matching. IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2016.(SCI, IF=4.046) [pdf (researchgate)] [code]

• Yuling Liang, Jianbing Shen, Xingping Dong, Hanqiu Sun, 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=4.046). [pdf (researchgate)] [code]

2015 and before

• Xingping Dong, Jianbing Shen, Ling Shao, Ming-Hsuan Yang. 

Interactive cosegmentation using global and local energy optimization. IEEE Trans. on Image Processing (TIP), 11(24):3966–3977, 2015. (SCI, IF=6.79). [pdf (researchgate)] [code]

• Xingping Dong, Jianbing Shen, Luc Van Gool. 

Segmentation Using SubMarkov Random Walk. EMMCVPR 2014: 237-248 [pdf (researchgate)]

PROFESSIONAL ACTIVITIES

Conference Program Committee Member/Reviewer:

The International Conference on Learning Representations (ICLR)

Neural Information Processing Systems (NeurIPS)

European Conference on Computer Vision (ECCV)

AAAI Conference on Artificial Intelligence (AAAI)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

International Conference on Computer Vision (ICCV)

Asian Conference on Computer Vision (ACCV)

IEEE Winter Conf. on Applications of Computer Vision (WACV)

Journal Reviewer: 

IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI)

IEEE Transactions on Image Processing (T-IP)

IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)

IEEE Transactions on Multimedia (T-MM)

IEEE Trans. on Circuits and Systems for Video Technology (TCSVT)

Pattern Recognition (PR)

Neurocomputing (NEUCOM)

Computer Vision and Image Understanding (CVIU)

The Visual Computer (TVCJ)

Signal, Image and Video Processing （SIVP）

SELECTED AWARDS

• National Natural Science Fund for Excellent Young scientists Fund Program (Overseas), 2022

• Excellent PhD thesis award, Chinese Association for Artificial Intelligence (CAAI), 2020

• Excellent BIT PhD Thesis Award, 2019

• Guorui Scholarship, The 14th research institute of China electronics technology corporation, 2018

• National Scholarship for Studying Abroad, 2016

• National Scholarship for Doctoral Students, 2016

• Scholarship of China North Industries, 2016

• Excellent Graduate Student, Beijing Institute of Technology, 2015

• SMC Scholarship, Beijing SMC Education Foundation, 2015