3 papers
eess.SP2026
RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation
Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay
This paper presents RAVEN, a computationally efficient deep learning architecture for FMCW radar perception. The method processes raw ADC data in a chirp-wise streaming manner, pre…
cs.MA2024
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision
Minah Lee, Uday Kamal, Saibal Mukhopadhyay
This paper proposes a novel problem: vision-based perception to learn and predict the collective dynamics of multi-agent systems, specifically focusing on interaction strength and…
eess.SY2024
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
Priyabrata Saha, Saibal Mukhopadhyay
Modeling and controlling complex spatiotemporal dynamical systems driven by partial differential equations (PDEs) often necessitate dimensionality reduction techniques to construct…