Search Results for author: Shiyan Chen

Found 4 papers, 2 papers with code

SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams

1 code implementation14 Mar 2024 Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu

Our approach begins with the formulation of a spike-guided deblurring model that explores the theoretical relationships among spike streams, blurry images, and their corresponding sharp sequences.

Deblurring Knowledge Distillation +1

Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views

no code implementations3 Jul 2023 Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang

To process the spikes, we build a novel model \textbf{SpkOccNet}, in which we integrate information of spikes from continuous viewpoints within multi-windows, and propose a novel cross-view mutual attention mechanism for effective fusion and refinement.

Exploring Asymmetric Tunable Blind-Spots for Self-supervised Denoising in Real-World Scenarios

no code implementations29 Mar 2023 Shiyan Chen, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang

Self-supervised denoising has attracted widespread attention due to its ability to train without clean images.

Denoising

SpikeCV: Open a Continuous Computer Vision Era

1 code implementation21 Mar 2023 Yajing Zheng, Jiyuan Zhang, Rui Zhao, Jianhao Ding, Shiyan Chen, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang

SpikeCV focuses on encapsulation for spike data, standardization for dataset interfaces, modularization for vision tasks, and real-time applications for challenging scenes.

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