Author

Ganesh Ramakrishnan

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Preprint Sep 2026

PerSeM: Persistent Semantic Memory for Long-Horizon Open-Vocabulary UAV Mapping

Open-vocabulary segmentation enables rich semantic perception for UAVs, but frame-wise predictions can remain temporally inconsistent across repeated observations and changing viewpoints. We present PerSeM, a training-free persistent semantic memory framework for long-horizon open-vocabulary UAV mapping. PerSeM associa...

Saurbh Singh Jamwal, Ganesh Ramakrishnan · 0 citations

#artificial intelligence Preprint Jul 2025

Learning Task Mixtures from Task Affinities: A Probabilistic Graphical Model for Supervised Fine-Tuning

This work introduces TaskPGM, a framework for learning continuous task mixtures via an energy-based model over tasks, and shows that the resulting set function is weakly submodular under budget constraints, enabling approximation guarantees for discrete selection variants.

Prateek Chanda, Saral Sureka, Parthiv Chatterjee et al. · 1 citation

Preprint Aug 2026

MASCOT: Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval

MASCOT (Model-Aware Submodular Coverage for Composite-Attribute Text-to-Image Retrieval) formulates multi-attribute diversity as a resource allocation problem, projecting attributes into a soft-binning space weighted by query-driven importance.

Aaryan Sharma, C. VishakPrasad, Virendra Singh et al. · 0 citations