25 citations · 51 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
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…
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-…
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…
Unsupervised Multi-Target Domain Adaptation Through Knowledge Distillation
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran +3
Unsupervised domain adaptation (UDA) seeks to alleviate the problem of domain shift between the distribution of unlabeled data from the target domain w.r.t. labeled data from the s…
On the Interaction Between Deep Detectors and Siamese Trackers in Video Surveillance
Madhu Kiran, Vivek Tiwari, Le Thanh Nguyen-Meidine +1
Visual object tracking is an important function in many real-time video surveillance applications, such as localization and spatio-temporal recognition of persons. In real-world ap…