朱林 - 北京理工大学

个人简介

朱林，计算机学院助理教授、特别副研究员、硕士生导师。2022年自北京大学计算机学院获得博士学位，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。承担科研情况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

研究领域

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

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Daxin Gu, Jia Li*, Lin Zhu*, Yu Zhang, Jimmy S. Ren. Reliable Event Generation with Invertible Conditional Normalizing Flow. IEEE Transactions on Pattern Analysis and Machine Intelligence. (IEEE TPAMI), 2023. (CCF-A). Lin Zhu, Yunlong Zheng, Mengyue Geng, Lizhi Wang, Hua Huang. Recurrent Spike-based Image Restoration under General Illumination. ACM MM 2023. (CCF A类). Yunshan Qi, Lin Zhu*, Yu Zhang, Jia Li*. E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images. ICCV 2023. (CCF A类). 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). 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). 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). 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). 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) 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). 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). 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). 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). 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). 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). 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). 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). Xiurong Jiang, Lin Zhu, Hui Tian. Learning event guided network for salient object detection. Pattern Recognition Letters (PRL), 2021. (CCF C类). 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).