6 papers
Best Practices for a Handwritten Text Recognition System
George Retsinas, Giorgos Sfikas, Basilis Gatos +1
Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications. Though deep learning methods provide notable…
Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoring
George Retsinas, Giorgos Sfikas, Christophoros Nikou
Recent advances in segmentation-free keyword spotting treat this problem w.r.t. an object detection paradigm and borrow from state-of-the-art detection systems to simultaneously pr…
Automatic Video Colorization using 3D Conditional Generative Adversarial Networks
Panagiotis Kouzouglidis, Giorgos Sfikas, Christophoros Nikou
In this work, we present a method for automatic colorization of grayscale videos. The core of the method is a Generative Adversarial Network that is trained and tested on sequences…
Human Activity Recognition Using Robust Adaptive Privileged Probabilistic Learning
Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou +1
In this work, a novel method based on the learning using privileged information (LUPI) paradigm for recognizing complex human activities is proposed that handles missing informatio…
Inferring Human Activities Using Robust Privileged Probabilistic Learning
Michalis Vrigkas, Evangelos Kazakos, Christophoros Nikou +1
Classification models may often suffer from "structure imbalance" between training and testing data that may occur due to the deficient data collection process. This imbalance can…
Curriculum Learning for Multi-Task Classification of Visual Attributes
Nikolaos Sarafianos, Theodore Giannakopoulos, Christophoros Nikou +1
Visual attributes, from simple objects (e.g., backpacks, hats) to soft-biometrics (e.g., gender, height, clothing) have proven to be a powerful representational approach for many a…