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20242026
most citedCNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation

1 citations · 1 across the 12 of their papers we have counts for

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cs.CV2026

Text as Illumination: Spatial Contrastive Retinex Learning for Language-guided Medical Image Segmentation

Jian Shi, Cheng Zhen, Pingping Zhang +6

Language-guided Medical Image Segmentation (LMIS) has shown great potential to improve the delineation of anatomical structures and lesions by integrating clinical textual informat…

cs.CV2026

Towards Large Model Feature Coding

Youwei Pang, Changsheng Gao, Dong Liu +2

Large models have delivered remarkable performance across a wide range of perception and generation tasks, yet practical deployment is increasingly constrained by computational and…

cs.CV2026

Selective Noise Suppression and Discriminative Mutual Interaction for Robust Audio-Visual Segmentation

Kai Peng, Yunzhe Shen, Miao Zhang +6

The ability to capture and segment sounding objects in dynamic visual scenes is crucial for the development of Audio-Visual Segmentation (AVS) tasks. While significant progress has…

cs.CV2025

SAM3-I: Segment Anything with Instructions

Jingjing Li, Yue Feng, Yuchen Guo +10

Segment Anything Model 3 (SAM3) advances open-vocabulary segmentation through promptable concept segmentation, enabling users to segment all instances associated with a given conce…

cs.CV2025

Frequency-Domain Decomposition and Recomposition for Robust Audio-Visual Segmentation

Yunzhe Shen, Kai Peng, Leiye Liu +5

Audio-visual segmentation (AVS) plays a critical role in multimodal machine learning by effectively integrating audio and visual cues to precisely segment objects or regions within…

cs.CV2025

DefMamba: Deformable Visual State Space Model

Leiye Liu, Miao Zhang, Jihao Yin +4

Recently, state space models (SSM), particularly Mamba, have attracted significant attention from scholars due to their ability to effectively balance computational efficiency and…