7 papers
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…
Knowing Your Annotator: Rapidly Testing the Reliability of Affect Annotation
Matthew Barthet, Chintan Trivedi, Kosmas Pinitas +4
The laborious and costly nature of affect annotation is a key detrimental factor for obtaining large scale corpora with valid and reliable affect labels. Motivated by the lack of t…
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…
Revisiting lp-constrained Softmax Loss: A Comprehensive Study
Chintan Trivedi, Konstantinos Makantasis, Antonios Liapis +1
Normalization is a vital process for any machine learning task as it controls the properties of data and affects model performance at large. The impact of particular forms of norma…
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,…
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…