Search Results for author: Abu Md Niamul Taufique

Found 7 papers, 0 papers with code

SiamReID: Confuser Aware Siamese Tracker with Re-identification Feature

no code implementations8 Apr 2021 Abu Md Niamul Taufique, Andreas Savakis, Michael Braun, Daniel Kubacki, Ethan Dell, Lei Qian, Sean M. O'Rourke

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

Object Object Tracking

Benchmarking Deep Trackers on Aerial Videos

no code implementations24 Mar 2021 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.

Attribute Benchmarking +2

Visualization of Deep Transfer Learning In SAR Imagery

no code implementations20 Mar 2021 Abu Md Niamul Taufique, Navya Nagananda, Andreas Savakis

Synthetic Aperture Radar (SAR) imagery has diverse applications in land and marine surveillance.

Transfer Learning

Automatic Quantification of Facial Asymmetry using Facial Landmarks

no code implementations20 Mar 2021 Abu Md Niamul Taufique, Andreas Savakis, Jonathan Leckenby

Motion is computed and compared between the left and the right parts of each region of interest to estimate the symmetry score.

Optical Flow Estimation

ConDA: Continual Unsupervised Domain Adaptation

no code implementations19 Mar 2021 Abu Md Niamul Taufique, Chowdhury Sadman Jahan, Andreas Savakis

Our results on three popular DA datasets demonstrate that our method outperforms many existing state-of-the-art DA methods with access to the entire target domain during adaptation.

Management Unsupervised Domain Adaptation

LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification

no code implementations29 Nov 2020 Abu Md Niamul Taufique, Andreas Savakis

Vehicle re-identification is an important computer vision task where the objective is to identify a specific vehicle among a set of vehicles seen at various viewpoints.

Vehicle Re-Identification

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