3 papers
cs.LG2024
MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication
Shubhabrata Mukherjee, Cory Beard, Sejun Song
Semantic Communication can transform the way we transmit information, prioritizing meaningful and effective content over individual symbols or bits. This evolution promises signifi…
cs.CV2024
MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO
Shubhabrata Mukherjee, Cory Beard, Zhu Li
Low-light conditions and occluded scenarios impede object detection in real-world Internet of Things (IoT) applications like autonomous vehicles and security systems. While advance…
cs.LG2023
Transformers for Green Semantic Communication: Less Energy, More Semantics
Shubhabrata Mukherjee, Cory Beard, Sejun Song
Semantic communication aims to transmit meaningful and effective information, rather than focusing on individual symbols or bits. This results in benefits like reduced latency, ban…