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Ruixuan Jiang

3 accepted papers

2026

CompEvent: Complex-valued Event-RGB Fusion for Low-light Video Enhancement and Deblurring

AAAI 2026technical

Low-light video deblurring poses significant challenges in applications like nighttime surveillance and autonomous driving due to dim lighting and long exposures. While event cameras offer potential solutions with superior low-light sensitivity and high temporal resolution, existing fusion methods t

Cited by 0SourcePDFScholar
2026

Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset

CVPR 2026

Event-based low-light image enhancement (LIE) methods mainly focus on incorporating high dynamic range (HDR) information from events while overlooking the essential global illumination in images and the inherent noise sensitivity of event signals in real-world scenarios. To address these issues, we

Cited by 0SourcecodeScholar
2026

Time-Specialized Event-Image Alignment for Blur-to-Video Decomposition

CVPR 2026

Motion blur is a common degradation in dynamic imaging. Recent studies have moved beyond restoring a single sharp image from a blurred input and instead target blur decomposition: recovering a temporally continuous sharp video sequence from one motion-blurred image. Event cameras, with their microse

Cited by 0SourcecodeScholar