most citedBenchmarking Deep Trackers on Aerial Videos

15 citations · 45 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2021

SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature

Abu Md Niamul Taufique, Andreas Savakis, Michael Braun +4

Siamese deep-network trackers have received significant attention in recent years due to their real-time speed and state-of-the-art performance. However, Siamese trackers suffer fr…

cs.CV20218 cited

Hyperspectral Pigment Analysis of Cultural Heritage Artifacts Using the Opaque Form of Kubelka-Munk Theory

Abu Md Niamul Taufique, David W. Messinger

Kubelka-Munk (K-M) theory has been successfully used to estimate pigment concentrations in the pigment mixtures of modern paintings in spectral imagery. In this study the single-co…

cs.CV202112 cited

ConDA: Continual Unsupervised Domain Adaptation

Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas Savakis

Domain Adaptation (DA) techniques are important for overcoming the domain shift between the source domain used for training and the target domain where testing takes place. However…

cs.CV202115 cited

Benchmarking Deep Trackers on Aerial Videos

Abu Md Niamul Taufique, Breton Minnehan, Andreas Savakis

In recent years, deep learning-based visual object trackers have achieved state-of-the-art performance on several visual object tracking benchmarks. However, most tracking benchmar…

cs.CV20215 cited

Visualization of Deep Transfer Learning In SAR Imagery

Abu Md Niamul Taufique, Navya Nagananda, Andreas Savakis

Synthetic Aperture Radar (SAR) imagery has diverse applications in land and marine surveillance. Unlike electro-optical (EO) systems, these systems are not affected by weather cond…

cs.CV20215 cited

Automatic Quantification of Facial Asymmetry using Facial Landmarks

Abu Md Niamul Taufique, Andreas Savakis, Jonathan Leckenby

One-sided facial paralysis causes uneven movements of facial muscles on the sides of the face. Physicians currently assess facial asymmetry in a subjective manner based on their cl…