3 papers
cs.CV2026
CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
Sayan Deb Sarkar, Rémi Pautrat, Ondrej Miksik +4
Video Language Models (VideoLMs) enable AI systems to understand temporal dynamics in videos. To fit within the maximum context window constraint, current methods use keyframe samp…
cs.CV2026
Loc3R-VLM: Language-based Localization and 3D Reasoning with Vision-Language Models
Kevin Qu, Haozhe Qi, Mihai Dusmanu +3
Multimodal Large Language Models (MLLMs) have made impressive progress in connecting vision and language, but they still struggle with spatial understanding and viewpoint-aware rea…
cs.CV2025
MR.NAVI: Mixed-Reality Navigation Assistant for the Visually Impaired
Nicolas Pfitzer, Yifan Zhou, Marco Poggensee +5
Over 43 million people worldwide live with severe visual impairment, facing significant challenges in navigating unfamiliar environments. We present MR.NAVI, a mixed reality system…