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cs.CV2024★ 1 cited
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding
Alessandro Suglia, Claudio Greco, Katie Baker +5
AI personal assistants deployed via robots or wearables require embodied understanding to collaborate with humans effectively. However, current Vision-Language Models (VLMs) primar…
cs.CV2024
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language Resamplers
Georgios Pantazopoulos, Alessandro Suglia, Oliver Lemon +1
An effective method for combining frozen large language models (LLM) and visual encoders involves a resampler module that creates a `visual prompt' which is provided to the LLM, al…