Search Results for author: Konstantinos Papadopoulos

Found 5 papers, 0 papers with code

A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes

no code implementations21 Oct 2022 Oyebade K. Oyedotun, Konstantinos Papadopoulos, Djamila Aouada

As such, our main exposition in this paper is to investigate and provide new perspectives for the source of generalization loss for DNNs trained with a large batch size.

Model Optimization

Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition

no code implementations20 Dec 2019 Konstantinos Papadopoulos, Enjie Ghorbel, Djamila Aouada, Björn Ottersten

This paper extends the Spatial-Temporal Graph Convolutional Network (ST-GCN) for skeleton-based action recognition by introducing two novel modules, namely, the Graph Vertex Feature Encoder (GVFE) and the Dilated Hierarchical Temporal Convolutional Network (DH-TCN).

Action Recognition Skeleton Based Action Recognition

Localized Trajectories for 2D and 3D Action Recognition

no code implementations10 Apr 2019 Konstantinos Papadopoulos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, Björn Ottersten

The Dense Trajectories concept is one of the most successful approaches in action recognition, suitable for scenarios involving a significant amount of motion.

3D Action Recognition

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