K. Basioti, P. Sahu, Q. T. Liu, Z. Xu, H. Wang, V. Pavlovic. “GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs.” ICLR, 2025. [PDF]

K. Basioti, M. A. Abdelsalam, F. Fancellu, V. Pavlovic, A. Fazly. “CIC-BART-SSA: Controllable Image Captioning with Structured Augmentations.” ECCV, 2024. [PDF] [Code and data] [Talk] [Slides] [ECCV DEI travel award]

J. Li, K. Basioti, V. Pavlovic. “Box2Flow: Instance-based Action Flow Graphs from Videos.” ICPR, 2024. [PDF] 

M. A. Abdelsalam, F. Shi, F. Fancellu, K. Basioti, DJ. Bhatt, V. Pavlovic, A. Fazly. “Visual Semantic Parsing: From Images to Abstract Meaning Representations.” CoNLL, 2022. [PDF] [Oral]

P. Sahu, K. Basioti, V. Pavlovic. “SAViR-T: Spatially Attentive Reasoning with Transformers.” ECML/PKDD, 2022. [PDF] [Code] [Slides] [(High 🙂) Pitch Talk] [Oral]

P. Sahu, K.Basioti, V. Pavlovic. “DAReN: A Collaborative Approach towards Disentanglement and Reasoning.” ICPR, 2022. [PDF] [Slides] [Oral, Best student paper award]

K. Basioti, G. M. Moustakides. “Single Image Restoration with Generative Priors.” ICIP, 2021. [PDF] [Slides] [Oral]

K. Basioti, G. M. Moustakides. “Generative Adversarial Networks: A Likelihood Ratio Approach.” IJCNN, 2021. [PDF] [Slides] [Talk] [Oral]

K. Basioti, G. M. Moustakides, E. Z. Psarakis. “Maximal Correlation: An Alternative Criterion for Training Generative Networks.” ECAI, 2020. [PDF] [Slides] [Talk] [Oral]

K. Basioti. “Exploring Structured Representations in Vision--Language and Reasoning.” 2026. [PDF]

K. Basioti, G. M. Moustakides. “Image De-Quantization using Generative Priors.” 2020. [PDF]

G. M. Moustakides, K. Basioti. “Training Neural Networks for Likelihood/Density Ratio Estimation.” 2019. [PDF]

K. Basioti, G. M. Moustakides. “Optimizing shallow networks for binary classification.” 2019. [PDF]

K. Basioti, G. M. Moustakides, EZ. Psarakis. “Kernel-based training of generative networks.” 2018. [PDF]