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cs.CV2026
-Fusion: Cross-Modality and Cross-Dimension Flow Estimation in Event Edge Space
Ruishan Guo, Ciyu Ruan, Haoyang Wang +3
Estimating dense 2D optical flow and 3D scene flow is essential for dynamic scene understanding. Recent work combines images, LiDAR, and event data to jointly predict 2D and 3D mot…
cs.CV2025
EDmamba: Rethinking Efficient Event Denoising with Spatiotemporal Decoupled SSMs
Ciyu Ruan, Zihang Gong, Ruishan Guo +2
Event cameras provide micro-second latency and broad dynamic range, yet their raw streams are marred by spatial artifacts (e.g., hot pixels) and temporally inconsistent background…
cs.CV2025
PRE-Mamba: A 4D State Space Model for Ultra-High-Frequent Event Camera Deraining
Ciyu Ruan, Ruishan Guo, Zihang Gong +3
Event cameras excel in high temporal resolution and dynamic range but suffer from dense noise in rainy conditions. Existing event deraining methods face trade-offs between temporal…