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What Keeps Vision-Language Models Looking at the Image?
Hiroto Osaka, Shohei Taniguchi, Gouki Minegishi +3
When do vision-language models need direct access to the image while generating an answer? We study image dependence during answer generation by examining how the visual informatio…
SUNTA: Hierarchical Video Prediction with Surprise-based Chunking
Tomoshi Iiyama, Masahiro Suzuki, Yutaka Matsuo
Hierarchical state-space models (HSSMs) offer a promising approach to long-horizon prediction by segmenting sequences into temporal chunks. However, their performance hinges on how…
When Object-Centric World Models Meet Policy Learning: From Pixels to Policies, and Where It Breaks
Stefano Ferraro, Akihiro Nakano, Masahiro Suzuki +1
Object-centric world models (OCWM) aim to decompose visual scenes into object-level representations, providing structured abstractions that could improve compositional generalizati…
The Embodied World Model Based on LLM with Visual Information and Prediction-Oriented Prompts
Wakana Haijima, Kou Nakakubo, Masahiro Suzuki +1
In recent years, as machine learning, particularly for vision and language understanding, has been improved, research in embedded AI has also evolved. VOYAGER is a well-known LLM-b…