Zobrazeno 1 - 10
of 2 177
pro vyhledávání: '"Deligiannis, A"'
Autor:
Sammani, Fawaz, Deligiannis, Nikos
Contrastive Language-Image Pretraining (CLIP) performs zero-shot image classification by mapping images and textual class representation into a shared embedding space, then retrieving the class closest to the image. This work provides a new approach
Externí odkaz:
http://arxiv.org/abs/2410.13016
Autor:
Kamath, Adharsh, Senthilnathan, Aditya, Chakraborty, Saikat, Deligiannis, Pantazis, Lahiri, Shuvendu K., Lal, Akash, Rastogi, Aseem, Roy, Subhajit, Sharma, Rahul
Loop invariants are fundamental to reasoning about programs with loops. They establish properties about a given loop's behavior. When they additionally are inductive, they become useful for the task of formal verification that seeks to establish stro
Externí odkaz:
http://arxiv.org/abs/2311.07948
We propose a data-driven approach to explicitly learn the progressive encoding of a continuous source, which is successively decoded with increasing levels of quality and with the aid of correlated side information. This setup refers to the successiv
Externí odkaz:
http://arxiv.org/abs/2311.03061
Video anomaly detection deals with the recognition of abnormal events in videos. Apart from the visual signal, video anomaly detection has also been addressed with the use of skeleton sequences. We propose a holistic representation of skeleton trajec
Externí odkaz:
http://arxiv.org/abs/2311.01851
Autor:
Dimitrios Tsiachris, Christos‐Konstantinos Antoniou, Georgios Deligiannis, Christodoulos Stefanadis, Konstantinos Tsioufis
Publikováno v:
Journal of Arrhythmia, Vol 40, Iss 5, Pp 1187-1191 (2024)
Externí odkaz:
https://doaj.org/article/f7eeccf726fd4bfbbfc5449332450cb6
Autor:
Sammani, Fawaz, Deligiannis, Nikos
Natural Language Explanations (NLE) aim at supplementing the prediction of a model with human-friendly natural text. Existing NLE approaches involve training separate models for each downstream task. In this work, we propose Uni-NLX, a unified framew
Externí odkaz:
http://arxiv.org/abs/2308.09033
The Rust programming language, with its safety guarantees, has established itself as a viable choice for low-level systems programming language over the traditional, unsafe alternatives like C/C++. These guarantees come from a strong ownership-based
Externí odkaz:
http://arxiv.org/abs/2308.05177
Autor:
Boulogne, Luuk H., Lorenz, Julian, Kienzle, Daniel, Schon, Robin, Ludwig, Katja, Lienhart, Rainer, Jegou, Simon, Li, Guang, Chen, Cong, Wang, Qi, Shi, Derik, Maniparambil, Mayug, Muller, Dominik, Mertes, Silvan, Schroter, Niklas, Hellmann, Fabio, Elia, Miriam, Dirks, Ine, Bossa, Matias Nicolas, Berenguer, Abel Diaz, Mukherjee, Tanmoy, Vandemeulebroucke, Jef, Sahli, Hichem, Deligiannis, Nikos, Gonidakis, Panagiotis, Huynh, Ngoc Dung, Razzak, Imran, Bouadjenek, Reda, Verdicchio, Mario, Borrelli, Pasquale, Aiello, Marco, Meakin, James A., Lemm, Alexander, Russ, Christoph, Ionasec, Razvan, Paragios, Nikos, van Ginneken, Bram, Dubois, Marie-Pierre Revel
Challenges drive the state-of-the-art of automated medical image analysis. The quantity of public training data that they provide can limit the performance of their solutions. Public access to the training methodology for these solutions remains abse
Externí odkaz:
http://arxiv.org/abs/2306.10484
The success of deep learning models has led to their adaptation and adoption by prominent video understanding methods. The majority of these approaches encode features in a joint space-time modality for which the inner workings and learned representa
Externí odkaz:
http://arxiv.org/abs/2303.09941
Publikováno v:
Sports Medicine and Health Science, Vol 6, Iss 2, Pp 179-184 (2024)
Electrocardiographic characteristics of children and adolescents present differences compared to adults. The aim of our work was to study electrocardiograms (ECGs) of football male players from childhood to late adolescence and examine if the ECG par
Externí odkaz:
https://doaj.org/article/8bf46337971f42ef95b8e643bd0c9ed6