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cs.CV2024
TWIST & SCOUT: Grounding Multimodal LLM-Experts by Forget-Free Tuning
Aritra Bhowmik, Mohammad Mahdi Derakhshani, Dennis Koelma +3
Spatial awareness is key to enable embodied multimodal AI systems. Yet, without vast amounts of spatial supervision, current Multimodal Large Language Models (MLLMs) struggle at th…
cs.CV2024★ 1 cited
TULIP: Token-length Upgraded CLIP
Ivona Najdenkoska, Mohammad Mahdi Derakhshani, Yuki M. Asano +3
We address the challenge of representing long captions in vision-language models, such as CLIP. By design these models are limited by fixed, absolute positional encodings, restrict…