个人信息

朱林，永利皇宫463cc助理教授、特别副研究员、硕士生导师。2022年自北京大学永利皇宫463cc获得博士学位，2019年-2021年在鹏城实验室人工智能中心访问交流。主要研究方向为计算机视觉、神经形态视觉、图像处理、类脑计算等，研究成果发表在国际顶级期刊和会议IEEE TPAMI、IEEE TIP、CVPR、ICCV、AAAI、ACM MM等10余篇，申请国内外专利10余项，已授权10项。主持国家自然青年科学基金、博士后创新人才支持计划等项目，获2022年中国图象图形学学会优秀博士论文提名。

本人每年招收硕士生2-4名，希望对科研有热情、编程能力强的同学加入团队，共同研究和发表高水平论文。本人所在的科研团队会提供非常优越的工作环境、计算资源、科研补助和国内外交流机会。请有兴趣加入的同学尽早联系，早日确定意向！

更多信息请访问：

实验室主页：http://vmcl.bit.edu.cn/   个人主页：https://linzhu.tech/

科研方向

计算机视觉，深度学习，神经形态视觉，脉冲神经网络，类脑计算

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).

承担科研情况

1. 国家自然科学基金青年科学基金项目，面向神经形态脉冲流的连续视觉表征模型研究，项目负责人；

2. 博士后创新人才支持计划，时空特征联合优化的脉冲神经网络成像模型研究，项目负责人；

3. 北理工青年教师学术启动计划，神经形态高速成像算法及其应用研究，项目负责人。

所获奖励

2022年中国图象图形学学会优秀博士论文提名。

社会兼职

担任CVPR、ICCV、NeurIPS、ICLR、ACM MM、AAAI、IEEE TCYB、IEEE TCSVT、IEEE JAS等期刊和会议的审稿人。

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