姓名：邓勇舰

职称：讲师

授课课程：软件体系结构

电子邮件：yjdeng@bjut.edu.cn

Name: DENG, Yongjian

Title: Lecturer

Course:Software System Architecture

Email: yjdeng@bjut.edu.cn

个人简介：

邓勇舰，北京工业大学计算机学院讲师。 于2021年在香港城市大学获得博士学位，师从李有福教授。 他的研究兴趣包括目标识别、动作识别、光流估计和基于事件的相机的深度学习。 他还致力于多模态融合、显着目标检测、3D 点云学习和语义分割。

Personal profile:

Dr. Deng holds a lecturer position in computer science at the Beijing University of Technology. He obtained the Ph.D. degree from the City University of Hong Kong in 2021, under the supervision of Prof. LI, You-Fu. His research interests include object recognition, action recognition, optical flow estimation, and deep learning with event-based cameras. He also works on multi-modal fusion, salient object detection, 3D point cloud learning, and semantic segmentation.

教育背景：

2018/09-2021/10，香港城市大学，博士

2016/09-2018/06，中国科学院大学，硕士

2012/09-2016/06，中国石油大学（北京），学士

Education background:

2018/09-2021/10，City University of Hong Kong, Ph.D

2016/09-2018/06，University of Florida, Master

2012/09-2016/06，China University of Petroleum (Beijing), Bachelor

主要研究方向：

机器学习、计算机视觉、图像处理、深度学习等。

Research areas:

Machine Learning, Computer Vision, Image Processing, Deep Learning

在研课题：

[1] 国家自然科学基金青年项目：基于事件相机的高速低延迟物体识别（2023-），30万元，主持

Selected Publications

Y. Deng, H. Chen*, H. Liu, and Y. Li*, A Voxel Graph CNN for Object Classification With Event Cameras. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1172-1181, 2022.

B. Xie#, Y. Deng#, Z. Shao, H. Liu, Y. Li* and H. Chen, “VMV-GCN: Volumetric Multi-View Based Graph CNN for Event Stream Classification,” in IEEE Robotics and Automation Letters (RA-L, with oral presentation in ICRA), December 2021.

Y. Deng, H. Chen and Y. Li*, “MVF-Net: A Multi-view Fusion Network for Event-based Object Classification,” in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021, doi: 10.1109/TCSVT.2021.3073673. (Early Access.)

Y. Deng, H. Chen, H. Chen and Y. Li*, “Learning From Images: A Distillation Learning Framework for Event Cameras,” in IEEE Transactions on Image Processing (TIP), vol. 30, pp. 4919-4931, 2021, doi: 10.1109/TIP.2021.3077136.

H. Chen, Y. Li,*, Y. Deng, et al. CNN-Based RGB-D Salient Object Detection: Learn, Select, and Fuse. International Journal of Computer Vision (IJCV), 129, 2076–2096 (2021). https://doi.org/10.1007/s11263-021-01452-0.