206 citations · 337 across the 15 of their papers we have counts for
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BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations
Bruno Artacho, Andreas Savakis
We propose BAPose, a novel bottom-up approach that achieves state-of-the-art results for multi-person pose estimation. Our end-to-end trainable framework leverages a disentangled m…
Extreme Face Inpainting with Sketch-Guided Conditional GAN
Nilesh Pandey, Andreas Savakis
Recovering badly damaged face images is a useful yet challenging task, especially in extreme cases where the masked or damaged region is very large. One of the major challenges is…
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…
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…
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…