most citedMambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space

4 citations · 7 across the 6 of their papers we have counts for

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cs.CV2025★ 2 cited

AGSwap: Overcoming Category Boundaries in Object Fusion via Adaptive Group Swapping

Zedong Zhang, Ying Tai, Jianjun Qian +2

Fusing cross-category objects to a single coherent object has gained increasing attention in text-to-image (T2I) generation due to its broad applications in virtual reality, digita…

cs.CV2025

When Color-Space Decoupling Meets Diffusion for Adverse-Weather Image Restoration

Wenxuan Fang, Jili Fan, Chao Wang +5

Adverse Weather Image Restoration (AWIR) is a highly challenging task due to the unpredictable and dynamic nature of weather-related degradations. Traditional task-specific methods…

cs.CV2024

Guided Real Image Dehazing using YCbCr Color Space

Wenxuan Fang, Junkai Fan, Yu Zheng +3

Image dehazing, particularly with learning-based methods, has gained significant attention due to its importance in real-world applications. However, relying solely on the RGB colo…

cs.CV2024★ 1 cited

Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking

Xiantao Hu, Ying Tai, Xu Zhao +5

Multimodal tracking has garnered widespread attention as a result of its ability to effectively address the inherent limitations of traditional RGB tracking. However, existing mult…

cs.CV2024★ 4 cited

MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space

Jiangwei Weng, Zhiqiang Yan, Ying Tai +3

Recent advances in low light image enhancement have been dominated by Retinex-based learning framework, leveraging convolutional neural networks (CNNs) and Transformers. However, t…