Name: Di Huijun
Discipline: Computer Science and Technology
Title: Lecturer
Contact number:
E-mail: ajon@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology Personal Information
Di Huijun, PhD, Master tutor. He received his Bachelor of Engineering and Doctor of Engineering degrees in Computer Science and Technology from Tsinghua University in July 2007 and July 2007, respectively. 2008.2-2009.3 Visiting Scholar at Siemens Central Research Institute, Munich, Germany; 2009.7-2012.7 Postdoctoral research at the Department of Computer Science and Technology, Tsinghua University. Since July 2012, he has been engaged in teaching and scientific research in the School of Computer Science, Beijing Institute of Technology. His main research interests include computer vision, artificial intelligence, pattern recognition, machine learning, and intelligent systems. He has published many academic papers on IEEE TPAMI, IEEE TSMCB, IEEE TCSVT, IEEE TMM and international top conferences ICCV, CVPR and ECCV in the computer field.
Personal homepage: http://iitlab.bit.edu.cn/isclab/faculties/dihuijun/index_cn.html < br >

Research Direction
Computer Vision, Artificial Intelligence, Pattern recognition, Machine Learning, Intelligent Systems

Personal Information
Di Huijun, PhD, Master tutor. He received his Bachelor of Engineering and Doctor of Engineering degrees in Computer Science and Technology from Tsinghua University in July 2007 and July 2007, respectively. 2008.2-2009.3 Visiting Scholar at Siemens Central Research Institute, Munich, Germany; 2009.7-2012.7 Postdoctoral research at the Department of Computer Science and Technology, Tsinghua University. Since July 2012, he has been engaged in teaching and scientific research in the School of Computer Science, Beijing Institute of Technology. His main research interests include computer vision, artificial intelligence, pattern recognition, machine learning, and intelligent systems. He has published many academic papers on IEEE TPAMI, IEEE TSMCB, IEEE TCSVT, IEEE TMM and international top conferences ICCV, CVPR and ECCV in the computer field.
Personal homepage: http://iitlab.bit.edu.cn/isclab/faculties/dihuijun/index_cn.html < br >

Personal Information
Di Huijun, PhD, Master tutor. He received his Bachelor of Engineering and Doctor of Engineering degrees in Computer Science and Technology from Tsinghua University in July 2007 and July 2007, respectively. 2008.2-2009.3 Visiting Scholar at Siemens Central Research Institute, Munich, Germany; 2009.7-2012.7 Postdoctoral research at the Department of Computer Science and Technology, Tsinghua University. Since July 2012, he has been engaged in teaching and scientific research in the School of Computer Science, Beijing Institute of Technology. His main research interests include computer vision, artificial intelligence, pattern recognition, machine learning, and intelligent systems. He has published many academic papers on IEEE TPAMI, IEEE TSMCB, IEEE TCSVT, IEEE TMM and international top conferences ICCV, CVPR and ECCV in the computer field.
Personal homepage: http://iitlab.bit.edu.cn/isclab/faculties/dihuijun/index_cn.html < br >

代表性学术成果
1. Qingxuan Shi, Huijun Di, Yao Lu, Feng Lv, and Xuedong Tian. Video Pose Estimation with Global Motion Cues. Neurocomputing, 219:269-279, 2017.
2. Ying Zhao, Huijun Di, Jian Zhang, Yao Lu, Feng Lv, and Yufang Li. Region Based Mixture Models for Human Action Recognition in Low-Resolution Videos. Neurocomputing, 247:1-15, 2017.
3. Tianfei Zhou, Yao Lu, and Huijun Di. Locality-Constrained Collaborative Model for Robust Visual Tracking. IEEE Trans. Circuits Syst. Video Techn. (TCSVT), 27(2): 313-325, 2017.
4. Ming Qin, Yao Lu, Huijun Di, and Wei Huang. A Background Basis Selection Based Foreground Detection Method. IEEE Trans. Multimedia (TMM), 18(7): 1283-1296, 2016.
5. Huijun Di, Linmi Tao, and Guangyou Xu. A Mixture of Transformed Hidden Markov Models for Elastic Motion Estimation. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 31(10):1817-1830, 2009.
6. Peng Dai, Huijun Di, Ligeng Dong, Linmi Tao, and Guangyou Xu. Group Interaction Analysis in Dynamic Context. IEEE Trans. on Systems, Man, and Cybernetics, Part B: Cybernetics (TSMC-B), 39(1):34-42, 2009.
7. Ying Zhao, Huijun Di, Jian Zhang, Yao Lu, and Feng Lv. Recognizing Human Actions from Low-Resolution Videos by Region-Based Mixture Models. IEEE International Conference on Multimedia & Expo (ICME), 2016.
8. Huijun Di, Qingxuan Shi, Feng Lv, Ming Qin, and Yao Lu. Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment. IEEE International Conference on Computer Vision (ICCV), 2015.
9. Qifan Wang, Linmi Tao, and Huijun Di. A Globally Optimal Approach for 3D Elastic Motion Estimation from Stereo Sequences. European Conference on Computer Vision (ECCV), 2010
10. Huijun Di, Naveed Rao, Guangyou Xu, and Linmi Tao. Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal Generative Model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
所获奖励