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most citedOSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model

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

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cs.CV2026

Language-Augmented Video Action Anticipation: Design Fundamentals, Benchmarks, and Open Challenges

Mahsa Mohammadi, Zeyu Fu, Sareh Rowlands

Action anticipation predicts future human actions from partial video under incomplete context and temporal uncertainty. Recent systems introduce large language models (LLMs), visio…

cs.CV2026

ReGround-Surg: Reliability-Guided Anchor Grounding for Referring Surgical Video Segmentation

Jiaxin Wen, Ming Yin, Lu Liu +1

Referring surgical video segmentation requires segmenting a target instrument or tissue region across video frames according to a natural language expression. Recent Segment Anythi…

cs.CV2025

Memory-Augmented SAM2 for Training-Free Surgical Video Segmentation

Ming Yin, Fu Wang, Xujiong Ye +2

Surgical video segmentation is a critical task in computer-assisted surgery, essential for enhancing surgical quality and patient outcomes. Recently, the Segment Anything Model 2 (…

cs.CV2025★ 7 cited

OSDMamba: Enhancing Oil Spill Detection from Remote Sensing Images Using Selective State Space Model

Shuaiyu Chen, Fu Wang, Peng Ren +2

Semantic segmentation is commonly used for Oil Spill Detection (OSD) in remote sensing images. However, the limited availability of labelled oil spill samples and class imbalance p…

cs.CV2024

A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection

Fu Wang, Yanghao Zhang, Xiangyu Yin +4

Camera-based Bird's Eye View (BEV) perception models receive increasing attention for their crucial role in autonomous driving, a domain where concerns about the robustness and rel…