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Zhijing Sun

7 accepted papers

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

EventGait: Towards Robust Gait Recognition with Event Streams

CVPR 2026

Gait recognition enables non-intrusive, privacy-preserving identification but suffers in uncontrolled environments due to illumination and motion sensitivity in conventional cameras. In this work, we explore gait recognition using event cameras, which offer microsecond temporal resolution and high d

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
2025

EVDM: Event-based Real-world Video Deblurring with Mamba

ICCV 2025poster

Existing event-based video deblurring methods face limitations in extracting and fusing long-range spatiotemporal motion information from events, primarily due to restricted receptive fields or low computational efficiency, resulting in suboptimal deblurring performance.To address these issues, we i…

2025

Motion-adaptive Transformer for Event-based Image Deblurring

AAAI 2025technical

Event cameras, which capture pixel-level brightness changes asynchronously, provide rich motion information that is often missed during traditional frame-based camera exposures, thereby offering fresh perspectives for motion deblurring. Although current approaches incorporate event intensity, they n…

2025

Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning

ACL 2025finding

Large Language Models (LLMs) excel in reasoning tasks through Chain-of-Thought (CoT) prompting. However, CoT prompting greatly increases computational demands, which has prompted growing interest in distilling CoT capabilities into Small Language Models (SLMs). This study systematically examines the…

2024

Motion Aware Event Representation-driven Image Deblurring

ECCV 2024poster

"Traditional image deblurring struggles with high-quality reconstruction due to limited motion data from single blurred images. Excitingly, the high-temporal resolution of event cameras records motion more precisely in a different modality, transforming image deblurring. However, many event camera-b…