Dr. Shishun Tian is an Assistant Professor and a master's supervisor at the College of Electronic and Information Engineering, Shenzhen University. In 2019, he received his Ph.D. degree from the National Institute of Applied Sciences of Rennes, France, and joined the College of Electronic and Information Engineering at Shenzhen University in the same year. He is engaged in teaching and research in the fields of image/video quality assessment, computer vision, and deep learning. He has led research projects funded by the National Natural Science Foundation of China and the Guangdong Provincial Natural Science Foundation. He has published over 40 papers on top journals and conferences, including IEEE TIP, IEEE TMM, IEEE JSTSP, and TITS. He has also been invited to serve as a reviewer for several prestigious journals and conferences, including IEEE TIP, IEEE TMM, ACM SIGGRAPH, IEEE CVPR, and IEEE ICME etc.

[1]2015-2019, National Institute of Applied Sciences, Rennes, France.

[2]2012-2015, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences.

[3]2008-2012, Sichuan University.

[1]2019-present, Shenzhen University, College of Electronics and Information Engineering, Assistant Professor.

[1]Digital image processing

[2]Computer vision

[3]Machine learning

[1]Image/Video quality assessment

[2]3D vision

[3]Computer vision

[4]Machine learning

Journals:

[1]M. Liao, S. Tian#, Y. Zhang, G. Hua, W. Zou and X. Li, " Calibration-based Multi-Prototype Contrastive Learning for Domain Generalization Semantic Segmentation in Traffic Scenes," in IEEE Transactions on Intelligent Transportation Systems, 2024.

[2]M. Liao, S. Tian#, Y. Zhang, G. Hua, W. Zou and X. Li, "Preserving Label-Related Domain-Specific Information for Cross-Domain Semantic Segmentation," in IEEE Transactions on Intelligent Transportation Systems, 2024.

[3]M. Liao, S. Tian#, Y. Zhang, G. Hua, W. Zou and X. Li, " PDA: Progressive Domain Adaptation for Semantic Segmentation, " Knowledge-Based Systems, Volume 284, 2024.

[4]Z. Zhang, S. Tian*, Y. Zhang, W. Zou, L. Morin and L. Zhang, "Blind Perceptual Quality Assessment of LFI Based on Angular-Spatial Effect Modeling," in IEEE Transactions on Broadcasting, vol. 70, no. 1, pp. 290-304, March 2024, doi: 10.1109/TBC.2023.3308329.

[5]Z. Zhang, S. Tian*, W. Zou, L. Morin and L. Zhang, "EDDMF: An Efficient Deep Discrepancy Measuring Framework for Full-Reference Light Field Image Quality Assessment," in IEEE Transactions on Image Processing, vol. 32, pp. 6426-6440, 2023, doi: 10.1109/TIP.2023.3329663.

[6]Z. Zhang, S. Tian*, W. Zou, L. Morin and L. Zhang, "PVBLiF: A Pseudo Video-Based Blind Quality Assessment Metric for Light Field Image," in IEEE Journal of Selected Topics in Signal Processing, 2023. doi: 10.1109/JSTSP.2023.3278452.

[7]W. Zou, G. Hua, Y. Zhuang and S. Tian*, "Real-Time Passable Area Segmentation with Consumer RGB-D Cameras for the Visually Impaired," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, 2023, Art no. 2513011, doi: 10.1109/TIM.2023.3272369.

[8]M. Liao, S. Tian#, Y. Zhang, G. Hua, W. Zou, X. Li, "Domain-invariant information aggregation for domain generalization semantic segmentation". Neurocomputing, Volume 546, 2023.

[9]S. Tian, T. Zeng, W. Zou, X. Li, L. Zhang, "DHIQA: Quality assessment of dehazed images based on attentive multi-scale feature fusion and rank learning, " Displays, 2023.

[10]W. Zou, R. Long, Y. Zhang, M. Liao, Z. Zhou, S. Tian*, "Dual geometric perception for cross-domain road segmentation, Displays, " Volume 76, January 2023.

[11]S. Tian, M. Zheng, W. Zou, X. Li and L. Zhang, "Dynamic Crosswalk Scene Understanding for the Visually Impaired". IEEE Transactions on Neural Systems and Rehabilitation Engineering, doi: 10.1109/TNSRE.2021.3096379.

[12]W. Zou, Z. Zhang, Y. Peng, C. Xiang, S. Tian*, L. Zhang. “SC-RPN: A Strong Correlation Learning Framework for Region Proposal”. IEEE Transactions on Image Processing, vol. 30, pp. 4084-4098, 2021.

[13]W. Zou, D. Wu, S. Tian*, C. Xiang, X. Li, L. Zhang. “End-to-end 6DoF Pose Estimation from Monocular RGB Images”. IEEE Transactions on Consumer Electronics, Volume: 67, Issue: 1, Feb. 2021.

[14]S. Tian, L. Zhang, W. Zou, X. Li, T. Su, L. Morin, O. Déforges, “Quality assessment of DIBR-synthesized views: An overview”, Neurocomputing, Volume 423, 2021, Pages 158-178.

[15]S. Tian*, L. Zhang, L. Morin, O. Deforges. “NIQSV+: A No Reference Synthesized View Quality Assessment Metric”. IEEE Transactions on Image Processing, Volume: 27, Issue: 4, April 2018.

[16]S. Tian*, L. Zhang, L. Morin, O. Deforges. “A benchmark of DIBR Synthesized View Quality Assessment Metrics on a new database for Immersive Media Applications”. IEEE Transactions on Multimedia, Volume: 21, Issue: 5, May 2019.

Conferences:

[1]M. Liao, S. Tian#, Y. Zhang, G. Hua, W. Zou, X. Li, "Calibration-based Dual Prototypical Contrastive Learning Approach for Domain Generalization Semantic Segmentation, " ACM Multimedia 2023.

[2]Z. Zhang, S. Tian*, W. Zou, Y. Zhang, L. Morin and L. Zhang, "Blind Quality Assessment of Light Field Image Based on Spatio-Angular Textural Variation," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 2385-2389, doi: 10.1109/ICIP49359.2023.10222216.

[3]T. Zeng, L. Zhang, W. Zou, X. Li and S. Tian*, "TRG-DQA: Texture Residual-Guided Dehazed Image Quality Assessment," 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 3075-3079, doi: 10.1109/ICIP49359.2023.10222233.

[4]W. Zou, G. Hua, G. Chen, Z. He, G. Liu, P. Chen, Y. Li, H. Li, L. Zheng, S. Tian*, "Need a dog for seeing eye? A Walk Viewpoint Dataset for Freespace Detection in Unstructured Environments," 2023 IEEE International Conference on Multimedia and Expo (ICME), Brisbane, Australia, 2023, pp. 1541-1546, doi: 10.1109/ICME55011.2023.00266.

[1]National Natural Science Foundation of China (NSFC), 2022.01-2024.12, 300,000RMB.

[2]Natural Science Foundation of Guangdong Province, 2022.01-2024.12, 100,000 RMB.

[3]Overseas High-Caliber Personnel Fund, 2022.01-2024.12, 2,700,000 RMB.

[4]Natural Science Foundation of Shenzhen University, 2020.01-2022.12, 200,000 RMB.

[5]Tencent “Rhinoceros Birds” - Scientific Research Foundation for Young Teachers of Shenzhen University, 50,000 RMB.