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cs.CV2026

Domain-Grounded Candidate Selection for Agentic Image Editing: A Shadow Removal Case

Shilin Hu, Jingyi Xu, Dimitris Samaras +1

Commercial vision-language models are reshaping computer vision, with visual priors broad enough to rival task-specific systems. This raises a natural question: do they reduce the…

cs.CV2026

OmniGF: A Dual-Branch Vision-Language Framework for Unified Gaze Following

Qiaomu Miao, Haoyu Wu, Jingyi Xu +2

Understanding human gaze behavior is essential for complex scene comprehension and human-computer interaction. Traditional gaze following models are typically restricted to pure sp…

cs.CV2026

Automated Counting of Stacked Objects in Industrial Inspection

Corentin Dumery, Noa Etté, Aoxiang Fan +4

Visual object counting is a fundamental computer vision task in industrial inspection, where accurate, high-throughput inventory tracking and quality assurance are critical. Moreov…

cs.CV2025

Personalized Image Descriptions from Attention Sequences

Ruoyu Xue, Hieu Le, Jingyi Xu +5

People can view the same image differently: they focus on different regions, objects, and details in varying orders and describe them in distinct linguistic styles. This leads to s…

cs.CV2025

Cast and Attached Shadow Detection via Iterative Light and Geometry Reasoning

Shilin Hu, Jingyi Xu, Sagnik Das +2

Shadows encode rich information about scene geometry and illumination, yet existing methods either predict a unified shadow mask or overlook attached shadows entirely. We address t…

cs.CV2025

Embedding Physical Reasoning into Diffusion-Based Shadow Generation

Shilin Hu, Jingyi Xu, Akshat Dave +2

Generating realistic shadows for inserted objects requires reasoning about scene geometry and illumination. However, most existing methods operate purely in image space, leaving th…