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20232026
most citedLMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset

2 citations · 2 across the 10 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding

Yudong Han, Qingpei Guo, Liyuan Pan +3

The challenge in LLM-based video understanding lies in preserving visual and semantic information in long videos while maintaining a memory-affordable token count. However, redunda…

cs.CV2024

SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition

Jiaqi Chen, Yan Yang, Shizhuo Deng +2

Human action recognition (HAR) plays a key role in various applications such as video analysis, surveillance, autonomous driving, robotics, and healthcare. Most HAR algorithms are…

cs.CV2024★ 2 cited

LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset

Ruikun Zhang, Hao Yang, Yan Yang +2

Image dehazing has drawn a significant attention in recent years. Learning-based methods usually require paired hazy and corresponding ground truth (haze-free) images for training.…

cs.CV2024

Storyboard guided Alignment for Fine-grained Video Action Recognition

Enqi Liu, Liyuan Pan, Yan Yang +4

Fine-grained video action recognition can be conceptualized as a video-text matching problem. Previous approaches often rely on global video semantics to consolidate video embeddin…

cs.CV2024

EZSR: Event-based Zero-Shot Recognition

Yan Yang, Liyuan Pan, Dongxu Li +1

This paper studies zero-shot object recognition using event camera data. Guided by CLIP, which is pre-trained on RGB images, existing approaches achieve zero-shot object recognitio…