activity
20182022
most citedKnowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains

25 citations · 51 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CV20221 cited

Dynamic Template Selection Through Change Detection for Adaptive Siamese Tracking

Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay +3

Deep Siamese trackers have recently gained much attention in recent years since they can track visual objects at high speeds. Additionally, adaptive tracking methods, where target…

cs.CV20222 cited

Generative Target Update for Adaptive Siamese Tracking

Madhu Kiran, Le Thanh Nguyen-Meidine, Rajat Sahay +3

Siamese trackers perform similarity matching with templates (i.e., target models) to recursively localize objects within a search region. Several strategies have been proposed in t…

cs.LG202221 cited

Hyperparameter Tuning for Deep Reinforcement Learning Applications

Mariam Kiran, Melis Ozyildirim

Reinforcement learning (RL) applications, where an agent can simply learn optimal behaviors by interacting with the environment, are quickly gaining tremendous success in a wide va…

cs.DC2021

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…

cs.CV202125 cited

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-…

cs.CV20202 cited

A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification

Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin +3

Person Re-Identification (ReID) is a challenging problem in many video analytics and surveillance applications, where a person's identity must be associated across a distributed no…