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Guanghui Zhao

2 accepted papers

2026

EventFlash: Towards Efficient MLLMs for Event-Based Vision

ICLR 2026poster

Event-based multimodal large language models (MLLMs) enable robust perception in high-speed and low-light scenarios, addressing key limitations of frame-based MLLMs. However, current event-based MLLMs often rely on dense image-like processing paradigms, overlooking the spatiotemporal sparsity of eve…

Cited by 0SourcecodeScholar
2025

EventGPT: Event Stream Understanding with Multimodal Large Language Models

CVPR 2025poster

Event cameras capture visual information as asynchronous pixel change streams, excelling in challenging lighting and high-dynamic scenarios. Existing multimodal large language models (MLLMs) concentrate on natural RGB images, failing in scenarios where event data fits better. In this paper, we intro…

Cited by 3SourcePDFScholar