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20182026
most citedEmotion Recognition from Multiple Modalities: Fundamentals and Methodologies

159 citations · 205 across the 15 of their papers we have counts for

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17 papers · 1 filter

cs.CV2026

RoRA: Role-Oriented Regional Allocation for Visual Token Pruning in MLLMs

Qiyanhui Lu, Han Wu, Rongjian Xu +6

Multimodal large language models (MLLMs) encode images as long visual token sequences, making prefilling and KV-cache storage expensive. Existing training-free pruning methods sele…

cs.CV2026

Pixel Ignores, Superpixel Sees: Adverse Weather Image Restoration via Semantic-Center SSM

Dayu Li, Shihao Zhou, Leizhi Shu +3

Adverse weather image restoration aims to recover clear visibility from degraded images in complex weather conditions. Existing works attempt to address this problem by modeling re…

cs.CV2026

Cross-Coordinate Correspondence Pruning for Image-to-Point Cloud Registration

Xin Liu, Rong Qin, Huipeng Lin +5

Recent detection-free approaches have shown significant efficacy in image-to-point cloud (I2P) registration by employing a coarse-to-fine matching pipeline. In the coarse stage, do…

cs.CV2026

ExpoMotion: A Large-Scale Benchmark and A Householder Projection Network for Multi-Exposure Fusion

Yao Liu, Lishen Qu, Shihao Zhou +6

Multi-Exposure Fusion (MEF) effectively extends dynamic range, but practical deployment is hindered by motion-induced ghosting and the scarcity of high-quality dynamic benchmarks.…

cs.CV2024

Spread Your Wings: A Radial Strip Transformer for Image Deblurring

Duosheng Chen, Shihao Zhou, Jinshan Pan +3

Exploring motion information is important for the motion deblurring task. Recent the window-based transformer approaches have achieved decent performance in image deblurring. Note…

cs.CV2024

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion

Pancheng Zhao, Peng Xu, Pengda Qin +5

Camouflaged vision perception is an important vision task with numerous practical applications. Due to the expensive collection and labeling costs, this community struggles with a…