Lin Zhu

Lin Zhu

Ph.D., Assistant Professor, Associate Researcher

Lin Zhu （朱林）

Assistant Professor
School of Computer Science & Technology
Beijing Institute of Technology
E-mail: linzhu at bit.edu.cn
Addr: Rm. 816, Central Teaching Building, Beijing Institute of Technology, No. 5, South Street, Zhongguancun, Beijing 100081, China

Research Interests

Computer Vision, Deep Learning, Spiking Neural Network, Brain-inspired Computing, Neuromorphic Vision.

招收25届研究生，欢迎提前联系！

News and Events

(from 2023)

  • 2024.7 One paper was accepted by ACM MM 2024
  • 2024.7 One paper was accepted by ECCV2024
  • 2024.6 I was named CVPR 2024 Outstanding Reviewer
  • 2024.2 Two papers were accepted by CVPR2024
  • 2023.12 Two papers were accepted by AAAI24
  • 2023.10 One paper was accepted by IEEE TPAMI
  • 2023.9 One paper was accepted by IEEE TPAMI
  • 2023.9 One paper was accepted by IEEE TCYB
  • 2023.7 One paper was accepted by ICCV23
  • 2023.7 One paper was accepted by ACM’MM23
  • 2023.4 One paper was accepted by IEEE TMM

Recent Publications

See Google Scholar for more information.

2024

  1. L Zhu, K Jia, Y Zhao, Y Qi, L Wang, H Huang. SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).

  2. M Geng, L Zhu*, L Wang, W Zhang, R Xiong, Y Tian*. Event-based Visible and Infrared Fusion via Multi-task Collaboration. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).

  3. X Wang, L Wang, X Ma, M Zhang, L Zhu, H Huang. In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).

  4. H Liu, S Peng, L Zhu, Y Chang, H Zhou, L Yan. Seeing Motion at Nighttime with an Event Camera. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).

  5. X Wang, S Wang, C Tang, L Zhu, B Jiang, Y Tian, J Tang. Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (CCF-A).

  6. M Zhang, L Wang, L Zhu, H Huang. Learning a physics-based filter attachment for hyperspectral imaging with RGB cameras. Neurocomputing, 2024. (CCF-C).

  7. L Zhu, X Chen, X Wang, H Huang. Finding Visual Saliency in Continuous Spike Stream. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A).

  8. X Wang, Z Wu, B Jiang, Z Bao, L Zhu, G Li, Y Wang, Y Tian. Hardvs: Revisiting human activity recognition with dynamic vision sensors. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A).

  9. Y Zhu, X Wang, C Li, B Jiang, L Zhu, Z Huang, Y Tian, J Tang. CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras. arXiv preprint, 2024.

2023

  1. 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).

  2. 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).

  3. 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).

  4. X Wang, J Li, L Zhu, Z Zhang, Z Chen, X Li, Y Wang, Y Tian, F Wu. Visevent: Reliable object tracking via collaboration of frame and event flows. IEEE Transactions on Cybernetics, 2023. (CCF-B).

  5. Y Chang, Y Guo, Y Ye, C Yu, L Zhu, X Zhao, L Yan, Y Tian. Unsupervised deraining: Where asymmetric contrastive learning meets self-similarity. IEEE Transactions on Pattern Analysis and Machine Intelligence. (IEEE TPAMI), 2023. (CCF-A).

  6. X Jiang, L Zhu, Y Hou, H Tian. Mirror complementary transformer network for RGB-thermal salient object detection. IET Comput. Vis., 2023. (CCF-C).

  7. P Zhu, X Wang, L Zhu, Z Sun, WS Zheng, Y Wang, C Chen. Prompt-based learning for unpaired image captioning. IEEE Transactions on Multimedia, 2023. (CCF-B).

  8. Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian. 1000× faster camera and machine vision with ordinary devices. Engineering, 2023.

  9. B Jiang, C Yuan, X Wang, Z Bao, L Zhu, B Luo. Point-voxel absorbing graph representation learning for event stream based recognition. arXiv preprint, 2023.

  10. X Wang, Z Wu, Y Rong, L Zhu, B Jiang, J Tang, Y Tian. SSTFormer: bridging spiking neural network and memory support transformer for frame-event based recognition. arXiv preprint, 2023.

  11. X Wang, S Wang, C Tang, L Zhu, B Jiang, Y Tian, J Tang. Event stream-based visual object tracking: A high-resolution benchmark dataset and a novel baseline. arXiv preprint, 2023.

2022 and before

  1. 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).

  2. L Zhu, Y Tian. Research on visual reconstruction methods of retina-like vision sensors. SCIENTIA SINICA Informationis, 2022. (中文CCF-A).

  3. 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).

  4. Y Ye, C Yu, Y Chang, L Zhu, XL Zhao, L Yan, Y Tian. Unsupervised deraining: Where contrastive learning meets self-similarity. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A).

  5. 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)

  6. 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).

  7. X Xiang, L Zhu, J Li, Y Wang, T Huang, Y Tian. Learning super-resolution reconstruction for high temporal resolution spike stream. IEEE Transactions on Circuits and Systems for Video Technology, 2021. (CCF-B).

  8. X Xiang, L Zhu, J Li, Y Tian, T Huang. Temporal up-sampling for asynchronous events. IEEE International Conference on Multimedia and Expo (ICME), 2022. (CCF-B).

  9. Y Wang, J Li, L Zhu, X Xiang, T Huang, Y Tian. Learning stereo depth estimation with bio-inspired spike cameras. IEEE International Conference on Multimedia and Expo (ICME), 2022. (CCF-B).

  10. C Tang, X Wang, J Huang, B Jiang, L Zhu, J Zhang, Y Wang, Y Tian. Revisiting color-event based tracking: A unified network, dataset, and metric. arXiv preprint, 2022.

  11. 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).

  12. Xiurong Jiang, Lin Zhu, Hui Tian. Learning event guided network for salient object detection. Pattern Recognition Letters (PRL), 2021. (CCF-C).

  13. 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).

  14. 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).

  15. 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).

  16. 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).

  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).

  18. L Zhu, S Dong, T Huang, Y Tian. A retina-inspired sampling method for visual texture reconstruction. IEEE International Conference on Multimedia and Expo (ICME), 2019. (CCF-B).

  19. L Zhu, Y Hao, Y Song. L1/2 norm and spatial continuity regularized low-rank approximation for moving object detection in dynamic background. IEEE Signal Processing Letters, 2018. (CCF-C).

For more info

More info can be found in 中文介绍.