Zobrazeno 1 - 10
of 8 656
pro vyhledávání: '"Antonis, P."'
We present Y-MAP-Net, a Y-shaped neural network architecture designed for real-time multi-task learning on RGB images. Y-MAP-Net, simultaneously predicts depth, surface normals, human pose, semantic segmentation and generates multi-label captions, al
Externí odkaz:
http://arxiv.org/abs/2411.10334
Autor:
Pardo, Antón, Seoane, Sandra Díaz, Ionescu, Dorin A., Papachristodoulou, Antonis, Villaverde, Alejandro F.
Synthetic biology is a recent area of biological engineering, whose aim is to provide cells with novel functionalities. A number of important results regarding the development of control circuits in synthetic biology have been achieved during the las
Externí odkaz:
http://arxiv.org/abs/2411.05450
Publikováno v:
EPTCS 409, 2024
This volume contains the proceedings of GandALF 2024, the Fifteenth International Symposium on Games, Automata, Logics, and Formal Verification. GandALF 2024 took place on 19-21 June 2024, in Reykjavik, Iceland. The aim of GandALF 2024 is to bring to
Externí odkaz:
http://arxiv.org/abs/2410.21884
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
Autor:
Benavent-Lledo, Manuel, Mulero-Pérez, David, Ortiz-Perez, David, Garcia-Rodriguez, Jose, Argyros, Antonis
The sequential execution of actions and their hierarchical structure consisting of different levels of abstraction, provide features that remain unexplored in the task of action recognition. In this study, we present a novel approach to improve actio
Externí odkaz:
http://arxiv.org/abs/2410.21275
Software engineers operating in complex and dynamic environments must continuously adapt to evolving requirements, learn iteratively from experience, and reconsider their approaches based on new insights. However, current large language model (LLM)-b
Externí odkaz:
http://arxiv.org/abs/2410.20285
The features of self-supervised vision transformers (ViTs) contain strong semantic and positional information relevant to downstream tasks like object localization and segmentation. Recent works combine these features with traditional methods like cl
Externí odkaz:
http://arxiv.org/abs/2410.19836
Autor:
Troboukis, Thanasis, Kiki, Kelly, Galanopoulos, Antonis, Sermpezis, Pavlos, Karamanidis, Stelios, Dimitriadis, Ilias, Vakali, Athena
This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparation for Greece's 2023 general elections. The project focused on the anal
Externí odkaz:
http://arxiv.org/abs/2410.13400
We present D-PoSE (Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation), a one-stage method that estimates human pose and SMPL-X shape parameters from a single RGB image. Recent works use larger models with transformer back
Externí odkaz:
http://arxiv.org/abs/2410.04889
We examine how skewness interacts with kurtosis within the cryptocurrency market. We show that during the COVID-19 pandemic there are more clusters of observations around the two flanks, highlighting the presence of a volatile behavior. Moreover, we
Externí odkaz:
http://arxiv.org/abs/2410.12801
Autor:
Papasavva, Antonis, Johnson, Shane, Lowther, Ed, Lundrigan, Samantha, Mariconti, Enrico, Markovska, Anna, Tuptuk, Nilufer
Fraud is a prevalent offence that extends beyond financial loss, causing psychological and physical harm to victims. The advancements in online communication technologies alowed for online fraud to thrive in this vast network, with fraudsters increas
Externí odkaz:
http://arxiv.org/abs/2409.19022