AAAI 2025technical0 citations
A Hybrid Approach for Visual Recognition of Object States
Abstract
The basic objective of my research work is to address the challenging problem of recognizing object states in a visual context by integrating data-driven and symbolic approaches. In particular, I focus on the Zero-shot variation of this task. The contributions made so far include the development of novel methods that exhibit state-of-the-art (SOTA) performance, the creation of a new object states dataset, the formulation of novel problems, the successful integration of low-level and high-level approaches, and comprehensive analyses that highlight the specific challenges posed by the problem.
BibTeX
@article{Gouidis_2025, title={A Hybrid Approach for Visual Recognition of Object States}, volume={39}, url={https://ojs.aaai.org/index.php/AAAI/article/view/35207}, DOI={10.1609/aaai.v39i28.35207}, abstractNote={The basic objective of my research work is to address the challenging problem of recognizing object states in a visual context by integrating data-driven and symbolic approaches. In particular, I focus on the Zero-shot variation of this task. The contributions made so far include the development of novel methods that exhibit state-of-the-art (SOTA) performance, the creation of a new object states dataset, the formulation of novel problems, the successful integration of low-level and high-level approaches, and comprehensive analyses that highlight the specific challenges posed by the problem.}, number={28}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Gouidis, Filippos}, year={2025}, month={Apr.}, pages={29259-29260} }