51 citations · 117 across the 14 of their papers we have counts for
5 papers · 1 filter
MAMRL: Exploiting Multi-agent Meta Reinforcement Learning in WAN Traffic Engineering
Shan Sun, Mariam Kiran, Wei Ren
Traffic optimization challenges, such as load balancing, flow scheduling, and improving packet delivery time, are difficult online decision-making problems in wide area networks (W…
NetGraf: A Collaborative Network Monitoring Stack for Network Experimental Testbeds
Divneet Kaur, Bashir Mohammed, Mariam Kiran
Network performance monitoring collects heterogeneous data suchas network flow data to give an overview of network performance,and other metrics, necessary for diagnosing and optim…
Holistic Guidance for Occluded Person Re-Identification
Madhu Kiran, R Gnana Praveen, Le Thanh Nguyen-Meidine +3
In real-world video surveillance applications, person re-identification (ReID) suffers from the effects of occlusions and detection errors. Despite recent advances, occlusions cont…
Incremental Multi-Target Domain Adaptation for Object Detection with Efficient Domain Transfer
Le Thanh Nguyen-Meidine, Madhu Kiran, Marco Pedersoli +3
Recent advances in unsupervised domain adaptation have significantly improved the recognition accuracy of CNNs by alleviating the domain shift between (labeled) source and (unlabel…
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran +3
Beyond the complexity of CNNs that require training on large annotated datasets, the domain shift between design and operational data has limited the adoption of CNNs in many real-…