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20232026
most citedVideo Anomaly Detection in 10 Years: A Survey and Outlook

5 citations · 12 across the 25 of their papers we have counts for

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cs.CV2026

AgriScope: Pixel-Grounded Multimodal Understanding for Agricultural Images

Abderrahmene Boudiaf, Mohamad Alanssari, Irfan Hussain +1

Agricultural image understanding requires fine-grained recognition of plant diseases, pests, crop structures, and botanical species under complex real-world conditions. Despite rec…

cs.CV2026

CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretation

Adonay Demewez Gebremedhin, Wessam Shehieb, Sara Alansari +4

Recent radiology multi-modal language models have made substantial progress in chest X-ray report generation, visual question answering, and temporal reasoning. While longitudinal…

cs.CV2026

From Multi-Resolution Cells to Gigapixel Whole Slide Images Foundation Model for Computational Pathology

Basit Alawode, Moshira Ali Abdalla, Dwarikanath Mahapatra +2

Vision Transformers (ViTs) and their hierarchical variants have achieved strong performance in Computational Pathology (CPath). However, most are pre-trained on single-resolution W…

cs.CV2026

SENTRY: SAM2-Enhanced Neighbor-Aware and Temporally Reasoned Memory for Visual Tracking

Mohamad Alansari, Yonathan Michael, Hasan AlMarzouqi +3

We revisit the memory update mechanism in SAM2-based visual object tracking and identify confidence-only mask selection as the dominant cause of drift under occlusion, rapid motion…

cs.CV2026

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation

Abderrahmene Boudiaf, Irfan Hussain, Sajid Javed

Open-vocabulary segmentation models such as SAM3 perform well across broad categories via text prompting, yet degrade when target classes are visually underrepresented in pretraini…

cs.CV2026

MLLM-HWSI: A Multimodal Large Language Model for Hierarchical Whole Slide Image Understanding

Basit Alawode, Arif Mahmood, Muaz Khalifa Al-Radi +6

Whole Slide Images (WSIs) exhibit hierarchical structure, where diagnostic information emerges from cellular morphology, regional tissue organization, and global context. Existing…