143 citations · 781 across the 60 of their papers we have counts for
8 papers · 1 filter
Causal Supervision of Attention for Affective Behaviour Analysis
Nemanja Rašajski, Konstantinos Makantasis, Antonios Liapis +1
The \textit{11th Affective Behaviour Analysis in-the-wild Competition} includes the Multi-Task Learning Challenge, where participants develop a unified framework for Valence-Arousa…
Can Large Language Models Capture Video Game Engagement?
David Melhart, Matthew Barthet, Georgios N. Yannakakis
Can out-of-the-box pretrained Large Language Models (LLMs) detect human affect successfully when observing a video? To address this question, for the first time, we evaluate compre…
BehAVE: Behaviour Alignment of Video Game Encodings
Nemanja Rašajski, Chintan Trivedi, Konstantinos Makantasis +2
Domain randomisation enhances the transferability of vision models across visually distinct domains with similar content. However, current methods heavily depend on intricate simul…
Towards General Game Representations: Decomposing Games Pixels into Content and Style
Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis +1
On-screen game footage contains rich contextual information that players process when playing and experiencing a game. Learning pixel representations of games can benefit artificia…
Game State Learning via Game Scene Augmentation
Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis +1
Having access to accurate game state information is of utmost importance for any artificial intelligence task including game-playing, testing, player modeling, and procedural conte…
Learning Task-Independent Game State Representations from Unlabeled Images
Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis +1
Self-supervised learning (SSL) techniques have been widely used to learn compact and informative representations from high-dimensional complex data. In many computer vision tasks,…
AffectGAN: Affect-Based Generative Art Driven by Semantics
Theodoros Galanos, Antonios Liapis, Georgios N. Yannakakis
This paper introduces a novel method for generating artistic images that express particular affective states. Leveraging state-of-the-art deep learning methods for visual generatio…
Contrastive Learning of Generalized Game Representations
Chintan Trivedi, Antonios Liapis, Georgios N. Yannakakis
Representing games through their pixels offers a promising approach for building general-purpose and versatile game models. While games are not merely images, neural network models…