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

AI+Education, 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)

  • 2025 One paper was accepted by ACM MM 2025
  • 2025 One paper was accepted by ICML 2025
  • 2025 Two papers were accepted by IJCV
  • 2025 Two papers were accepted by IEEE TPAMI
  • 2025 Three papers were accepted by ICCV 2025
  • 2024.7 One paper was accepted by ACM MM 2024
  • 2024.7 One paper was accepted by ECCV 2024
  • 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.

2025

  • L Zhu, R Liu, X Wang, L Wang, H Huang. Revealing Latent Information: A Physics-inspired Self-supervised Pre-training Framework for Noisy and Sparse Events. In ACM International Conference on Multimedia (ACM MM), 2025. (CCF-A).
  • X Ma, L Wang, X Wang, W Song, Q Sun, L Zhu, H Huang. Learning Refractive-Diffractive Optics with Unidirectional Transformer for Large Field-of-View Imaging. International Journal of Computer Vision, 2025. (CCF-A).
  • 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. IEEE Transactions on Multimedia, 2025. (CCF-B).
  • X Wang, C Wang, S Wang, X Wang, Z Zhao, L Zhu, B Jiang. MambaEVT: Event Stream-based Visual Object Tracking using State Space Model. IEEE Transactions on Circuits and Systems for Video Technology, 2025. (CCF-B).
  • L Zhu, X Ma, X Wang, L Wang, H Huang. EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams. In International Conference on Machine Learning (ICML), 2025. (CCF-A).
  • H Feng, L Wang, Y Huang, T Li, L Zhu, H Huang. YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency. arXiv preprint arXiv:2506.03645, 2025.
  • T Li, L Wang, H Feng, L Zhu, H Huang. PDE: Gene Effect Inspired Parameter Dynamic Evolution for Low-light Image Enhancement. arXiv preprint arXiv:2505.09196, 2025.
  • X Wang, Y Rong, Z Wu, L Zhu, B Jiang, J Tang, Y Tian. SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. IEEE Transactions on Cognitive and Developmental Systems, 2025. (CCF-C).
  • M Geng, L Wang, L Zhu, W Zhang, R Xiong, Y Tian. Towards Ultra High-speed Hyperspectral Imaging by Integrating Compressive and Neuromorphic Sampling. International Journal of Computer Vision 133 (4), 1587–1610, 2025. (CCF-A).
  • S Wang, X Wang, C Wang, L Jin, L Zhu, B Jiang, Y Tian, J Tang. Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark. arXiv preprint arXiv:2502.05574, 2025.
  • T Wang, L Zhu, H Huang. Enhancing Real-Time Object Detection with Optical Flow-Guided Streaming Perception. IEEE Transactions on Circuits and Systems for Video Technology, 2025. (CCF-B).
  • Y Wang, H Wang, L Wang, X Wang, L Zhu, W Lu, H Huang. Complementary Advantages: Exploiting Cross-field Frequency Correlation for NIR-assisted Image Denoising. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A).
  • T Li, L Wang, Z Xu, L Zhu, W Lu, H Huang. Positive2Negative: Breaking the Information-lossy Barrier in Self-supervised Single Image Denoising. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A).
  • X Wang, Y Jin, W Wu, W Zhang, L Zhu, B Jiang, Y Tian. Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (CCF-A).
  • T Li, L Wang, H Feng, L Zhu, W Lu, H Huang. Rethinking Model Redundancy for Low-light Image Enhancement. arXiv preprint arXiv:2412.16459, 2025.

2024

  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • M Zhang, L Wang, L Zhu, H Huang. Learning a Physics-based Filter Attachment for Hyperspectral Imaging with RGB Cameras. Neurocomputing, 2024. (CCF-C).
  • 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).
  • 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).
  • 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.
  • L Zhu, W Yan, Y Chang, Y Tian, H Huang. Simultaneous Learning Intensity and Optical Flow from High-speed Spike Stream. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (CCF-B).
  • Y Qi, L Zhu, Y Zhao, N Bao, J Li. Deblurring Neural Radiance Fields with Event-driven Bundle Adjustment. In ACM International Conference on Multimedia (ACM MM), 2024. (CCF-A).
  • L Zhu, X Chen, L Wang, X Wang, Y Tian, H Huang. Continuous-time Object Segmentation using High Temporal Resolution Event Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A).
  • M Geng, L Wang, L Zhu, W Zhang, R Xiong, Y Tian. Event-enhanced Snapshot Mosaic Hyperspectral Frame Deblurring. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A).
  • X Wang, Y Rong, F Wang, J Li, L Zhu, B Jiang, Y Wang. Event Stream-based Sign Language Translation: A High-definition Benchmark Dataset and A New Algorithm. arXiv preprint arXiv:2408.10488, 2024.
  • X Wang, S Wang, P Shao, B Jiang, L Zhu, Y Tian. Event Stream-based Human Action Recognition: A High-definition Benchmark Dataset and Algorithms. arXiv preprint arXiv:2408.09764, 2024.
  • Y Qi, J Li, Y Zhao, Y Zhang, L Zhu. ENeRF: Efficient Event-Enhanced Neural Radiance Fields from Blurry Images. arXiv preprint arXiv:2408.01840, 2024.
  • D Gu, J Li, L Zhu. Learning Adaptive Parameter Representation for Event-based Video Reconstruction. IEEE Signal Processing Letters, 2024. (CCF-C).
  • T Li, H Feng, L Wang, L Zhu, Z Xiong, H Huang. Stimulating the Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (CCF-A).
  • L Zhu, Y Zheng, Y Zhang, X Wang, L Wang, H Huang. Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction. In European Conference on Computer Vision (ECCV), 2024 (Oral). (CCF-B).
  • P Zhang, L Zhu, L Wang, H Huang. Unifying Event-based Flow, Stereo and Depth Estimation via Feature Similarity Matching. arXiv preprint arXiv:2407.21735, 2024.
  • M Yan, L Wang, L Zhu, H Huang. Exploiting Frequency Correlation for Hyperspectral Image Reconstruction. arXiv preprint arXiv:2406.00683, 2024.
  • J Lian, L Wang, L Zhu, R Dian, Z Xiong, H Huang. Physics-Inspired Degradation Models for Hyperspectral Image Fusion. arXiv preprint arXiv:2402.02411, 2024.
  • D Gu, J Li, L Zhu, Y Zhang, JS Ren. Reliable Event Generation with Invertible Conditional Normalizing Flow. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46 (2), 927–943, 2024. (CCF-A).

2023

  • H Feng, L Wang, Y Huang, Y Wang, L Zhu, H Huang. Physics-guided Noise Neural Proxy for Practical Low-light Raw Image Denoising. arXiv preprint arXiv:2310.09126, 2023. (Preprint).
  • 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, 54 (3), 1997–2010, 2023. (CCF-B).
  • 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 (TPAMI), 46 (5), 2638–2657, 2023. (CCF-A).
  • L Zhu, Y Zheng, M Geng, L Wang, H Huang. Recurrent Spike-based Image Restoration under General Illumination. In ACM International Conference on Multimedia (ACM MM), 2023. (CCF-A).
  • X Jiang, L Zhu, Y Hou, H Tian. Mirror Complementary Transformer Network for RGB-thermal Salient Object Detection. IET Computer Vision, 2023. (CCF-C).
  • B Jiang, C Yuan, X Wang, Z Bao, L Zhu, Y Tian, J Tang. Point-voxel Absorbing Graph Representation Learning for Event Stream based Recognition. arXiv preprint arXiv:2306.05239, 2023. (Preprint).
  • T Huang, Y Zheng, Z Yu, R Chen, Y Li, R Xiong, L Ma, J Zhao, S Dong, L Zhu, … 1000× Faster Camera and Machine Vision with Ordinary Devices. Engineering 25, 110–119, 2023. (CCF-None).
  • P Zhu, X Wang, L Zhu, Z Sun, W-S Zheng, Y Wang, C Chen. Prompt-based Learning for Unpaired Image Captioning. IEEE Transactions on Multimedia, 26, 379–393, 2023. (CCF-B).
  • Y Qi, L Zhu, Y Zhang, J Li. E2NeRF: Event Enhanced Neural Radiance Fields from Blurry Images. In IEEE/CVF International Conference on Computer Vision (ICCV), 2023. (CCF-A).
  • 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 arXiv:2211.11010, 2023. (Preprint).

Before 2022

  • X Xiang, L Zhu, J Li, Y Tian, T Huang. Temporal Up-sampling for Asynchronous Events. In IEEE International Conference on Multimedia and Expo (ICME), 2022, 01–06. (CCF-B).
  • Y Wang, J Li, L Zhu, X Xiang, T Huang, Y Tian. Learning Stereo Depth Estimation with Bio-inspired Spike Cameras. In IEEE International Conference on Multimedia and Expo (ICME), 2022, 1–6. (CCF-B).
  • J Li, X Wang, L Zhu, J Li, T Huang, Y Tian. Retinomorphic Object Detection in Asynchronous Visual Streams. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 36 (2), 1332–1340, 2022. (CCF-A).
  • J Li, J Li, L Zhu, X Xiang, T Huang, Y Tian. Asynchronous Spatio-temporal Memory Network for Continuous Event-based Object Detection. IEEE Transactions on Image Processing (TIP), 31, 2975–2987, 2022. (CCF-A).
  • L Zhu, S Dong, J Li, T Huang, Y 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 (TPAMI), 45 (1), 1233–1249, 2022. (CCF-A).
  • Y Ye, C Yu, Y Chang, L Zhu, X-L Zhao, L Yan, Y Tian. Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A).
  • L Zhu, X Wang, Y Chang, J Li, T Huang, Y Tian. Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (CCF-A).
  • X Jiang, L Zhu, H Tian. Learning Event Guided Network for Salient Object Detection. Pattern Recognition Letters, 151, 317–324, 2021. (CCF-C).
  • Z Kang, J Li, L Zhu, Y Tian. Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing. In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM), 2021, 144–152. (CCF-A).
  • T Huang, L Zhu, Y Tian, Y Fu, J Li, S Dong, Y Wang. Spike Signal-based Display Method and System. US Patent 10,937,132, 2021. (Patent).
  • L Zhu, J Li, X Wang, T Huang, Y Tian. NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras. In IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (CCF-A).
  • L Zhu, X Jiang, J Li, Y Hao, Y Tian. Motion-aware Structured Matrix Factorization for Foreground Detection in Complex Scenes. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021. (CCF-B).
  • L Zhu, S Dong, T Huang, Y Tian. Hybrid Coding of Spatiotemporal Spike Data for a Bio-inspired Camera. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 31 (7), 2837–2851, 2020. (CCF-B).
  • L Zhu, S Dong, J Li, T Huang, Y Tian. Retina-like Visual Image Reconstruction via Spiking Neural Model. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF-A).
  • L Zhu, S Dong, J Li, T Huang, Y Tian. Learning Super-resolution Reconstruction for High Temporal Resolution Spike Stream. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 33 (1), 16–29, 2020. (CCF-B).
  • L Zhu, S Dong, T Huang, Y Tian. A Retina-inspired Sampling Method for Visual Texture Reconstruction. In IEEE International Conference on Multimedia and Expo (ICME), 2019, 1432–1437. (CCF-B).
  • S Dong, L Zhu, D Xu, Y Tian, T Huang. An Efficient Coding Method for Spike Camera using Inter-spike Intervals. In Data Compression Conference (DCC), 2019. (CCF-B).
  • L Zhu, Y Hao, Y Song. Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background. IEEE Signal Processing Letters (SPL), 25 (1), 15–19, 2019. (CCF-C).

More info can be found in 中文介绍.