科学研究情况
1、承担项目情况
[1] 国家自然科学基金: 基于计算机视觉的复杂场景下行为理解研究, 项目编号61702073, 26万，2018.01-2020.12, 已结题, 项目主持人.
[2] 中国博士后科学基金: 基于计算机视觉的行为预测方法研究, 项目编号2019M661079, 8万, 2019.11-至今, 在研, 项目主持人.
[3] 国家自然科学基金项目: 基于完全图的脑功能时序网络模式及其能量动力学研究, 项目编号61772102, 68万, 2018.01.01-2021.12.31, 在研, 主要参与人.
[4] 国家自然科学基金项目: 类脑双通路自主强化学习建模方法及其在水下潜航器中的应用研究, 项目编号62176036, 58万, 2022.01.01-2025.12.31, 在研, 主要参与人.
[5] 辽宁省航运联合基金项目: 基于深度感知的水下目标智能搜救关键技术研究, 项目编号2020-HYLH-17, 10万, 2021.01.01-2022.12.31, 在研, 主要参与人.
2、发表学术论文情况
主要期刊论文
[1] Bo Zhang, Rui Zhang, Niccolo Bisagno, Nicola Conci, Francesco G. B. De Natale, and Hongbo Liu. Where are they going? Predicting human behaviors in crowded scenes. ACM Transactions on Multimedia Computing, Communications, and Applications, Volume 17, Issue 4, Article No.: 123, pages: 1-19, 2021.（中国计算机学会 CCF 推荐 B类国际期刊）
[2] Niccolo Bisagno, Cristiano Saltori, Bo Zhang, Francesco G.B. De Natale, Nicola Conci. Embedding group and obstacle information in LSTM networks for human trajectory prediction in crowded scenes. Computer Vision and Image Understanding, Volume 203, 2021. （中国计算机学会 CCF 推荐 B类国际期刊）
[3] Bo Zhang, Naiyao Wang, Zheng Zhao, Ajith Abraham, and Hongbo Liu. Crowd Counting Based on Attention-Guided Multi-Scale Fusion Networks. NeuroComputing, Volume 451, pages: 12-24, 2021. （中国计算机学会 CCF 推荐 C类国际期刊）
[4] Bo Zhang, Chengzhi Yuan, Tao Wang, and Hongbo Liu. STENet: A hybrid spatio-temporal embedding network for human trajectory forecasting. Engineering Applications of Artificial Intelligence, Volume 106, 2021.（中国计算机学会CCF推荐C类国际期刊, 清华大学 B类国际期刊）
[5] Bo Zhang, Nicola Conci, and Francesco G. B. De Natale, Segmentation of Discriminative Patches in Human Activity Videos. ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2015, 12(1): 1-19. （中国计算机学会 CCF 推荐 B类国际期刊）
主要会议论文
[1] Yifan Ma, Bo Zhang, Nicola Conci, and Hongbo Liu. A hierarchical framework for motion trajectory forecasting based on modality sampling. In the Proceedings of the IEEE International Conference on Pattern Recognition, the First International Workshop on Deep Learning for Human-centric Activity Understanding, January 11, 2021. Milan, Italy.
[2] Niccolo Bisagno, Bo Zhang, and Nicola Conci. Group LSTM: Group Trajectory Prediction in Crowded Scenarios. In the Proceedings of the European Conference on Computer Vision. Workshop on Anticipating Human Behavior, pages: 213-225, September 8, 2018, Munich, Germany.
[3] Niccolo Bisagno, Nicola Conci, and Bo Zhang. Data-driven Crowd Simulation. In the Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance (IEEE AVSS), pages:1-6, , Lecce, Italy, 2017.8.28-9.01.
[4] Bo Zhang, Paolo Rota, Nicola Conci, and Francesco G. B. De Natale. Human Interaction Recognition in the Wild: Analyzing Trajectory Clustering from Multiple-Instance-Learning Perspective. In the Proceedings of the IEEE International Conference on Multimedia & Expo (IEEE ICME), pages:1-6, Turin, Italy, 2015.6.29-7.3. （中国计算机学会 CCF 推荐 B类国际会议）
[5] Bo Zhang, Yan Yan, Nicola Conci, and Nicu Sebe. You Talkin' to Me? Recognizing Complex Human Interactions in Unconstrained Videos. In the Proceedings of the ACM International Conference on Multimedia (ACM MM), pages: 821-824, Orlando, US, 2014.11.3-11.7. （中国计算机学会 CCF 推荐 A类国际会议）
[6] Bo Zhang, Nicola Conci, and Francesco G. B. De Natale. Camera Viewpoint Change Detection For Interaction Analysis in TV Shows. In the Proceedings of the IEEE International Conference on Image Processing (IEEE ICIP), pages: 2547-2551, Paris, France, 2014.10.27-10.30. （中国计算机学会 CCF 推荐 C类国际会议）
[7] Bo Zhang, Francesco G. B. De Natale, and Nicola Conci. Recognition of Social Interactions based on Feature Selection From Visual Codebooks, In the Proceedings of the IEEE International Conference on Image Processing (IEEE ICIP), pages: 3557-3561,Melbourne, Australia, 2013.9.15-9.18. （中国计算机学会 CCF 推荐 C类国际会议）
3、获得授权专利情况
4、出版学术专著情况
