5 papers
Listen, Look, and Learn: Learning Without Forgetting through SAM-Audio
Avi Gupta, Nilotpal Sinha, Vishnu Raj +4
Class-Incremental Learning (CIL) aims to continuously learn new classes without forgetting previously acquired knowledge. While recent CIL advances have spurred significant interes…
MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
Xiyang Wu, Zongxia Li, Jihui Jin +7
Vision Language Models (VLMs) perform well on standard video tasks but struggle with physics-related reasoning involving motion dynamics and spatial interactions. We present a nove…
Scaling Laws for Energy Efficiency of Local LLMs
Ander Alvarez, Alessandro Genuardi, Nilotpal Sinha +6
Deploying local large language models and vision-language models on edge devices requires balancing accuracy with constrained computational and energy budgets. Although graphics pr…
Accelerating Photonic Integrated Circuit Design: Traditional, ML and Quantum Methods
Alessandro Daniele Genuardi Oquendo, Ali Nadir, Tigers Jonuzi +4
Photonic Integrated Circuits (PICs) provide superior speed, bandwidth, and energy efficiency, making them ideal for communication, sensing, and quantum computing applications. Desp…
Ultralight Signal Classification Model for Automatic Modulation Recognition
Alessandro Daniele Genuardi Oquendo, AgustÃn MatÃas Galante Cerviño, Nilotpal Kanti Sinha +3
The growing complexity of radar signals demands responsive and accurate detection systems that can operate efficiently on resource-constrained edge devices. Existing models, while…