206 citations · 270 across the 6 of their papers we have counts for
6 papers
Grassmann Iterative Linear Discriminant Analysis with Proxy Matrix Optimization
Navya Nagananda, Breton Minnehan, Andreas Savakis
Linear Discriminant Analysis (LDA) is commonly used for dimensionality reduction in pattern recognition and statistics. It is a supervised method that aims to find the most discrim…
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…
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…
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…
OmniPose: A Multi-Scale Framework for Multi-Person Pose Estimation
Bruno Artacho, Andreas Savakis
We propose OmniPose, a single-pass, end-to-end trainable framework, that achieves state-of-the-art results for multi-person pose estimation. Using a novel waterfall module, the Omn…
Anomaly Detection in Video Using Predictive Convolutional Long Short-Term Memory Networks
Jefferson Ryan Medel, Andreas Savakis
Automating the detection of anomalous events within long video sequences is challenging due to the ambiguity of how such events are defined. We approach the problem by learning gen…