2 papers
cs.CV2026
Adapting Vision-Language Models for E-commerce Understanding at Scale
Matteo Nulli, Vladimir Orshulevich, Tala Bazazo +9
E-commerce product understanding demands by nature, strong multimodal comprehension from text, images, and structured attributes. General-purpose Vision-Language Models (VLMs) enab…
cs.CV2015
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries
S. Hussain Raza, Omar Javed, Aveek Das +3
We present an algorithm to estimate depth in dynamic video scenes. We propose to learn and infer depth in videos from appearance, motion, occlusion boundaries, and geometric contex…