Name: Zhu Lin
Discipline: Computer Science and Technology
Title: Assistant Professor, Special Associate Researcher
Contact number:
E-mail: linzhu@bit.edu.cn
Address: Room 816, Central Teaching Building, Beijing Institute of Technology Personal Information
Zhu Lin, Assistant Professor, Special Associate Researcher and master Supervisor of the School of Computer Science. He received his PhD from the School of Computer Science, Peking University in 2022, and visited and exchanged in the Artificial Intelligence Center of Pengcheng Laboratory from 2019 to 2021. His research interests are computer vision, neuromorphic vision, image processing, brain-like computing, etc. His research results have been published in more than 10 international top journals and conferences IEEE TPAMI, IEEE TIP, CVPR, ICCV, AAAI, ACM MM, etc. He has applied for more than 10 patents at home and abroad, and has authorized 10. He presided over projects such as the National Natural Youth Science Foundation and the Post-doctoral Innovative Talent Support Program, and was nominated for the excellent doctoral thesis of the Chinese Society of Image and Graphics in 2022.
I recruit 2-4 master students every year. I hope students with enthusiasm for scientific research and strong programming ability will join the team to jointly research and publish high-level papers. My research team will provide excellent working environment, computing resources, research grants and domestic and international exchange opportunities. Please contact the students who are interested in joining as soon as possible to confirm the intention!
For more information please visit:
Laboratory homepage: http://vmcl.bit.edu.cn/ Personal homepage: https://linzhu.tech/
Research Direction
Computer Vision, Deep Learning, Neuromorphic Vision, Impulsive Neural Networks, Brain-like Computing
Personal Information
Zhu Lin, Assistant Professor, Special Associate Researcher and master Supervisor of the School of Computer Science. He received his PhD from the School of Computer Science, Peking University in 2022, and visited and exchanged in the Artificial Intelligence Center of Pengcheng Laboratory from 2019 to 2021. His research interests are computer vision, neuromorphic vision, image processing, brain-like computing, etc. His research results have been published in more than 10 international top journals and conferences IEEE TPAMI, IEEE TIP, CVPR, ICCV, AAAI, ACM MM, etc. He has applied for more than 10 patents at home and abroad, and has authorized 10. He presided over projects such as the National Natural Youth Science Foundation and the Post-doctoral Innovative Talent Support Program, and was nominated for the excellent doctoral thesis of the Chinese Society of Image and Graphics in 2022.
I recruit 2-4 master students every year. I hope students with enthusiasm for scientific research and strong programming ability will join the team to jointly research and publish high-level papers. My research team will provide excellent working environment, computing resources, research grants and domestic and international exchange opportunities. Please contact the students who are interested in joining as soon as possible to confirm the intention!
For more information please visit:
Laboratory homepage: http://vmcl.bit.edu.cn/ Personal homepage: https://linzhu.tech/
Personal Information
Zhu Lin, Assistant Professor, Special Associate Researcher and master Supervisor of the School of Computer Science. He received his PhD from the School of Computer Science, Peking University in 2022, and visited and exchanged in the Artificial Intelligence Center of Pengcheng Laboratory from 2019 to 2021. His research interests are computer vision, neuromorphic vision, image processing, brain-like computing, etc. His research results have been published in more than 10 international top journals and conferences IEEE TPAMI, IEEE TIP, CVPR, ICCV, AAAI, ACM MM, etc. He has applied for more than 10 patents at home and abroad, and has authorized 10. He presided over projects such as the National Natural Youth Science Foundation and the Post-doctoral Innovative Talent Support Program, and was nominated for the excellent doctoral thesis of the Chinese Society of Image and Graphics in 2022.
I recruit 2-4 master students every year. I hope students with enthusiasm for scientific research and strong programming ability will join the team to jointly research and publish high-level papers. My research team will provide excellent working environment, computing resources, research grants and domestic and international exchange opportunities. Please contact the students who are interested in joining as soon as possible to confirm the intention!
For more information please visit:
Laboratory homepage: http://vmcl.bit.edu.cn/ Personal homepage: https://linzhu.tech/
代表性学术成果
[1] Lin Zhu, Yunlong Zheng, Mengyue Geng, Lizhi Wang, Hua Huang. Recurrent Spike-based Image Restoration under General Illumination. In ACM Multimedia (ACM MM), 2023. (CCF A类).
[2] Yunshan Qi, Lin Zhu*, Yu Zhang, Jia Li*. E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images. In International Conference on Computer Vision (ICCV), 2023. (CCF A类).
[3] Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian. Ultra-high Temporal Resolution Visual Reconstruction from a Fovea-like Spike Camera via Spiking Neuron Model. IEEE Transactions on Pattern Analysis and Machine Intelligence. (IEEE TPAMI), 2022. (CCF A类).
[4] Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian. Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF A类).
[5] Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian. NeuSpike-Net: High Speed Image Reconstruction via Bio-inspired Neuromorphic Cameras. In International Conference on Computer Vision (ICCV), 2021. (CCF A类).
[6] Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian. Retina-Like Visual Image Reconstruction via Spiking Neural Model. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral, CCF A类).
[7] Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, YonghongTian. Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection. IEEE Transactions on Image Processing (IEEE TIP), 2022. (CCF A类)
[8] Jianing Li, Xiao Wang, Lin Zhu, Tiejun Huang, Yonghong Tian. Retinomorphic Object Detection in Asynchronous Visual Streams. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022. (Oral, CCF-A类).
[9] Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-le Zhao, Luxin Yan, Yonghong Tian. Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF A类).
[10] Zhaodong Kang, Jianing Li, Lin Zhu, Yonghong Tian. Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing. In Proceedings of ACM International
Conference on Multimedia (ACM MM), 2021. (Oral, CCF A类).
[11] Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian. Hybrid Coding of Spatiotemporal Spike Data for a Bio-inspired Camera. IEEE Transactions on Circuits and Systems for Video Technology. (IEEE TCSVT), 2021. (CCF B类).
[12] Lin Zhu, Xiurong Jiang, Jianing Li, Yonghong Tian. Motion-aware Structured Matrix Factorization for Foreground Detection in Complex Scenes. ACM Transactions on Multimedia Computing, Communications, and Applications. (ACM TOMM), 2020. (CCF B类).
[13] Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian. A Retina-inspired Sampling Method for Visual Texture Reconstruction. In IEEE International Conference on Multimedia and Expo (ICME), 2019. (CCF B类).
[14] Lin Zhu, Yuanhong Hao and Yuejin Song. L1/2 Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background. IEEE Signal Processing Letters (IEEE SPL), 2018. (CCF C类).
[15] Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tiejun Huang, Yonghong Tian. Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream. IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 2022. (CCF B类).
[16] Xiurong Jiang, Lin Zhu, Hui Tian. Learning event guided network for salient object detection. Pattern Recognition Letters (PRL), 2021. (CCF C类).
[17] Siwei Dong#, Lin Zhu#, Daoyuan Xu, Tiejun Huang, Yonghong Tian. An Efficient Coding Method for Spike Camera using Inter-spike Intervals. In Data Compression Conference (DCC), 2019. (CCF B类).
所获奖励
2022年中国图象图形学学会优秀博士论文提名。
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):