1 citations · 1 across the 3 of their papers we have counts for
6 papers
PRISM: A Category-Theoretic Framework for Measuring and Refining Multimodal Analogies
Mirella Zeisler, Ojas Shirekar, Mircea Licǎ +1
Analogical reasoning involves identifying and preserving relational structures across domains. However, existing approaches to AI-driven multimodal analogy generation lack an inter…
OverForge: Reasoning Through Strategies and Tactics Helps Cooperative Lifelong Adaptation
Oana Madalina Fron, Ojas Shirekar, Chirag Raman
Cooperative language-model agents must coordinate over long horizons and adapt to changing environments and to partners with unfamiliar conventions, yet existing agents map observa…
Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics
Ojas Shirekar, Yash Surange, Agustinas Jučas +1
Human social behaviour is not a collection of independent motions, but a jointly organised process in which group dynamics and individual variation continuously shape one another.…
A Synchronized Audio-Visual Multi-View Capture System
Xiangwei Shi, Gara Dorta, Ruud de Jong +2
Multi-view capture systems have been an important tool in research for recording human motion under controlling conditions. Most existing systems are specified around video streams…
Multimodal Quantitative Measures for Multiparty Behaviour Evaluation
Ojas Shirekar, Wim Pouw, Chenxu Hao +3
Digital humans are emerging as autonomous agents in multiparty interactions, yet existing evaluation metrics largely ignore contextual coordination dynamics. We introduce a unified…
Self-Attention Message Passing for Contrastive Few-Shot Learning
Ojas Kishorkumar Shirekar, Anuj Singh, Hadi Jamali-Rad
Humans have a unique ability to learn new representations from just a handful of examples with little to no supervision. Deep learning models, however, require an abundance of data…