206 citations · 211 across the 5 of their papers we have counts for
5 papers · 1 filter
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation
Navin Ranjan, Andreas Savakis
Vision transformers (ViTs) have demonstrated remarkable performance across various visual tasks. However, ViT models suffer from substantial computational and memory requirements,…
Continual Domain Adaptation on Aerial Images under Gradually Degrading Weather
Chowdhury Sadman Jahan, Andreas Savakis
Domain adaptation (DA) strives to mitigate the domain gap between the source domain where a model is trained, and the target domain where the model is deployed. When a deep learnin…
Curriculum Guided Domain Adaptation in the Dark
Chowdhury Sadman Jahan, Andreas Savakis
Addressing the rising concerns of privacy and security, domain adaptation in the dark aims to adapt a black-box source trained model to an unlabeled target domain without access to…
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…
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…