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20242026
most citedSpider: A Unified Framework for Context-dependent Concept Segmentation

1 citations · 1 across the 10 of their papers we have counts for

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cs.CV2026

Seeing Through the Glare: A Multi-Source Benchmark and Ocular-Adaptive Pixel MeanFlow for Eyeglass Reflection Removal

Tao Liu, Youwei Pang, Kailai Zhou +7

Eyeglass reflection removal is important across smartphone imaging, video conferencing, and other face-centric visual applications. The task is challenging because reflections rang…

cs.MM2026

SAMOT: State-Aware Step Modulation and Optimal Transport Matching for Audio-Visual Instance Segmentation

Kai Peng, Yunzhe Shen, Miao Zhang +5

Audio-Visual Instance Segmentation (AVIS) aims to simultaneously classify, segment, and track sounding objects within video sequences. Unlike Audio-Visual Semantic Segmentation (AV…

cs.MM2026

Hear to See: Discerning Stateful Listening for Audio-Visual Instance Segmentation

Leiye Liu, Miao Zhang, Jiahong Jiang +7

Audio-visual instance segmentation (AVIS) requires accurately identifying and tracking individual sounding objects with pixel-level masks. Existing methods struggle to match overla…

cs.LG2026

AdaSurvMamba: Dynamic Fusion and Semantic Scanning for Multimodal Survival Analysis

Jialong Zhong, Tingwei Liu, Baokun Yue +7

Multimodal survival analysis utilizing whole slide images (WSIs) and genomic profiles is fundamental for cancer prognosis. Recently, state-space models like Mamba have emerged as p…

cs.CV2026

ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning

Yuan Zhao, Youwei Pang, Jiaming Zuo +10

Recent progress in promptable segmentation has shifted visual perception from object-level localization toward concept-level understanding. However, the notion of a concept remains…

cs.CV2026

UniPPTBench: A Unified Benchmark for Presentation Generation Across Diverse Input Settings

Bo Zhao, Maosheng Pang, Chen Zhang +3

Existing works typically focus on presentation generation under isolated input settings, whereas real-world use cases span diverse scenarios, including vague user prompts, long doc…

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…