5 citations · 7 across the 3 of their papers we have counts for
4 papers
Exponentially Weighted Instance-Aware Repeat Factor Sampling for Long-Tailed Object Detection Model Training in Unmanned Aerial Vehicles Surveillance Scenarios
Taufiq Ahmed, Abhishek Kumar, Constantino Álvarez Casado +5
Object detection models often struggle with class imbalance, where rare categories appear significantly less frequently than common ones. Existing sampling-based rebalancing strate…
Large Language Model Based Multi-Agent System Augmented Complex Event Processing Pipeline for Internet of Multimedia Things
Talha Zeeshan, Abhishek Kumar, Susanna Pirttikangas +1
This paper presents the development and evaluation of a Large Language Model (LLM), also known as foundation models, based multi-agent system framework for complex event processing…
SoK: Distributed Computing in ICN
Wei Geng, Yulong Zhang, Dirk Kutscher +3
Information-Centric Networking (ICN), with its data-oriented operation and generally more powerful forwarding layer, provides an attractive platform for distributed computing. This…
How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm
Lauri Lovén, Roberto Morabito, Abhishek Kumar +3
This paper proposes the neural publish/subscribe paradigm, a novel approach to orchestrating AI workflows in large-scale distributed AI systems in the computing continuum. Traditio…