Jiyuan Zhang

Orcid: 0000-0003-2177-7284

Affiliations:
  • Peking University, Beijing, China


According to our database1, Jiyuan Zhang authored at least 23 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SNNTracker: Online High-Speed Multi-Object Tracking With Spike Camera.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

SpikeCV: open a continuous computer vision era.
Sci. China Inf. Sci., 2026

2025
Assisting Training of Deep Spiking Neural Networks With Parameter Initialization.
IEEE Trans. Neural Networks Learn. Syst., August, 2025

Decoding natural visual scenes via learnable representations of neural spiking sequences.
Neural Networks, 2025

Spike Camera Image Reconstruction Based on an Efficient Spiking Transformer.
Proceedings of the MMAsia '25 Workshops: Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian Splatting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
SpikeMM: Flexi-Magnification of High-Speed Micro-Motions.
CoRR, 2024

Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SpikeGS: 3D Gaussian Splatting from Spike Streams with High-Speed Camera Motion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Spike-guided Motion Deblurring with Unknown Modal Spatiotemporal Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views.
CoRR, 2023

Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios.
CoRR, 2023

SpikeCV: Open a Continuous Computer Vision Era.
CoRR, 2023

Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Temporal-Ordered Representation for Spike Streams Based on Discrete Wavelet Transforms.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex.
Neural Comput., 2022

Uncertainty Guided Depth Fusion for Spike Camera.
CoRR, 2022

Spike Transformer: Monocular Depth Estimation for Spiking Camera.
Proceedings of the Computer Vision - ECCV 2022, 2022

Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022


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