3 citations · 3 across the 5 of their papers we have counts for
6 papers
Route First, See Later: Enabling Vision Agents to Reason Scientifically by Separating Routing Policy from Action Spaces
Shubhabrata Mukherjee, Jeffrey Donatelli, Daniela Ushizima
Scientific image-analysis workflows require agents to select among diverse capabilities like description, detection, counting, and segmentation. Current multi-tool architectures co…
Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data
Shubhabrata Mukherjee, Jack Lang, Obeen Kwon +4
Zero-shot and prompt-based models have excelled at visual reasoning tasks by leveraging large-scale natural image corpora, but they often fail on sparse and domain-specific scienti…
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…
A secure and private ensemble matcher using multi-vault obfuscated templates
Babak Poorebrahim Gilkalaye, Shubhabrata Mukherjee, Reza Derakhshani
Generative AI has revolutionized modern machine learning by providing unprecedented realism, diversity, and efficiency in data generation. This technology holds immense potential f…
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…
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…