石恒璨

一、个人简介

石恒璨,博士,副教授,王耀南院士团队成员,机器人视觉感知与控制技术国家工程研究中心骨干成员。现为美国电气与电子工程师协会会员,美国计算机学会会员,和中国图象图形学学会会员。2021年获中国图象图形学学会优秀博士学位论文奖(全国仅10人)。2024年人才引进加入湖南大学电气与信息工程学院。


主要研究方向为人工智能、计算机与机器人视觉感知、视觉-语言多模态学习、弱监督学习与无监督学习等。在多媒体与计算机视觉顶级期刊会议CVPRECCVACMMMSIGIRIEEE TMM等发表论文近30篇。长期担任计算机视觉顶级会议CVPRICCVECCV机器学习顶级会议ICMLNeurIPSICLR人工智能顶级会议AAAIIJCAI等程序委员会委员,顶级期刊IEEE TPAMIIJCVTMMTCSVTTIE等审稿人,并任多媒体顶级会议ACMMM 2024网络主席与领域主席。


联系方式:shihengcan@hnu.edu.cn


二、招生信息

欢迎对人工智能计算机与机器人视觉感知视觉-语言多模态学习感兴趣的学生加入我们团队。

优秀学生可推荐至澳大利亚悉尼大学、莫纳什大学、阿德莱德大学、香港中文大学、香港城市大学等QS100大学深造或访问交流,腾讯、阿里、百度、字节、商汤等知名企业位于中国、美国、澳大利亚、新加坡等地研发部门工作或实习。


三、教育与工作经历

2024.03-至今,湖南大学,电气与信息工程学院,副教授

2020.08-2024.03,澳大利亚莫纳什大学,数据科学与人工智能,研究员

2014.09-2019.12,电子科技大学,信息与通信工程,博士

2010.09-2014.06,电子科技大学,电子信息工程,学士


四、部分代表性科研成果

[1].Hengcan Shi, Munawar Hayat, and Jianfei Cai. "Unified open-vocabulary dense visual prediction."IEEE Transactions on Multimedia (TMM), 2024.一区TOP

[2].Hengcan Shi, Munawar Hayat, Jianfei Cai, “Transformer Scale Gate for Semantic Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.CCF-A

[3].Hengcan Shi, Munawar Hayat, and Jianfei Cai. "Open-vocabulary object detection via scene graph discovery." Proceedings of the 31st ACM International Conference on Multimedia (ACMMM), 2023.CCF-A

[4].Son Duy Dao,Hengcan Shi, Dinh Phung, Jianfei Cai. "Class Enhancement Losses with Pseudo Labels for Open-Vocabulary Semantic Segmentation." IEEE Transactions on Multimedia (TMM), 2023.一区TOP

[5].Hengcan Shi,Munawar Hayat, Jianfei Cai, “Unpaired referring expression grounding via bidirectional cross-modal matching”,Neurocomputing, 2023二区TOP

[6].Hengcan Shi, Munawar Hayat, Yicheng Wu, Jianfei Cai, “ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022.CCF-A

[7].Tingtian Li, Zixun Sun, Haoruo Zhang, Jin Li, Ziming Wu, Hui Zhan, Yipeng Yu,Hengcan Shi, “Deep Music Retrieval for Fine-Grained Videos by Exploiting Cross-Modal-Encoded Voice-Overs”, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2021.CCF-A

[8].Hengcan Shi,Hongliang Li, Qingbo Wu, and King Ngi Ngan, “Query Reconstruction Network for Referring Expression Image Segmentation”, IEEE Transactions on Multimedia (TMM), 2020.一区TOP

[9].Heqian Qiu, Hongliang Li, Qingbo Wu, andHengcan Shi, “Offset Bin Classification Network for Accurate Object Detection”, IEEE Conference on ComputerVision and Pattern Recognition (CVPR), 2020.CCF-A

[10].Heqian Qiu, Hongliang Li, Qingbo Wu, FanmanMeng,Hengcan Shi, Taijin Zhao, and King Ngi Ngan, “Language-Aware Fine-Grained Object Representation for Referring Expression Comprehension”, ACMinternational conference on Multimedia (ACM MM), 2020.CCF-A

[11].Heqian Qiu, Hongliang Li, Qingbo Wu, Fanman Meng, Linfeng Xu, King Ngi Ngan, andHengcan Shi, “Hierarchical Context Features Embedding for Object Detection”, IEEE Transactions on Multimedia (TMM), 2020.CCF-A

[12].Hengcan Shi,Hongliang Li, Qingbo Wu, and Zichen Song, “Scene Parsing via Integrated Classification Model and Variance-Based Regularization”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.CCF-A

[13].Hengcan Shi, Hongliang Li, Qingbo Wu, FanmanMeng, and King Ngi Ngan, “Boosting scene parsing performance via reliable scale prediction”, ACMinternational conference on Multimedia (ACM MM), 2018.CCF-A, Oral

[14].Hengcan Shi, Hongliang Li, Fanman Meng, and Qingbo Wu, “Key-Word-Aware Network for Referring Expression Image Segmentation”, European Conference on Computer Vision (ECCV), 2018.

[15].Hengcan Shi, Hongliang Li, Fanman Meng, Qingbo Wu, Linfeng Xu, and King N. Ngan,Hierarchical Parsing Net: Semantic Scene Parsing from Global Scene to Objects”, IEEE Transactions on Multimedia (TMM), 2018一区TOP



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