Πλοήγηση ανά Συγγραφέα "Papadimitriou K., Potamianos G."
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End-to-end convolutional sequence learning for ASL fingerspelling recognition
Papadimitriou K., Potamianos G. (2019)Although fingerspelling is an often overlooked component of sign languages, it has great practical value in the communication of important context words that lack dedicated signs. In this paper we consider the problem of ... -
Fingerspelled alphabet sign recognition in upper-body videos
Papadimitriou K., Potamianos G. (2019)Fingerspelling is a crucial part of sign-based communication, however its recognition remains a challenging and mostly overlooked computer vision problem. To address it, this paper presents a system that recognizes the 24 ... -
A fully convolutional sequence learning approach for cued speech recognition from videos
Papadimitriou K., Potamianos G. (2021)Cued Speech constitutes a sign-based communication variant for the speech and hearing impaired, which involves visual information from lip movements combined with hand positional and gestural cues. In this paper, we consider ... -
A Hybrid Approach to Hand Detection and Type Classification in Upper-Body Videos
Papadimitriou K., Potamianos G. (2019)Detection of hands in videos and their classification into left and right types are crucial in various human-computer interaction and data mining systems. A variety of effective deep learning methods have been proposed for ... -
Multimodal sign language recognition via temporal deformable convolutional sequence learning
Papadimitriou K., Potamianos G. (2020)In this paper we address the challenging problem of sign language recognition (SLR) from videos, introducing an end-to-end deep learning approach that relies on the fusion of a number of spatio-temporal feature streams, ...