Kristian Fenech

According to our database, Kristian Fenech authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep NRSFM for multi-view multi-body pose estimation.

Áron Fóthi, Joul Skaf, Fengjiao Lu, Kristian Fenech

Pattern Recognit. Lett., 2024

Introducing MeMo: A Multimodal Dataset for Memory Modelling in Multiparty Conversations.

Maria Tsfasman, Bernd Dudzik, Kristian Fenech, András Lörincz, Catholijn M. Jonker, Catharine Oertel

CoRR, 2024

Keep Gesturing: A Game for Pragmatic Communication.

János Adrián Gulyás, Miklós Máté Badó, Kristian Fenech, András Lorincz

Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

2023

Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images.

Ellák Somfai, Benjámin Baffy, Kristian Fenech, Rita Hosszú, Dorina Korózs, Marcell Pólik, Miklós Sárdy, András Lorincz

Int. J. Imaging Syst. Technol., March, 2023

BlinkLinMulT: Transformer-Based Eye Blink Detection.

Ádám Fodor, Kristian Fenech, András Lorincz

J. Imaging, 2023

Composite AI for Behavior Analysis in Social Interactions.

Bruno Carlos Dos Santos Melício, Linyun Xiang, Emily Dillon, Latha Soorya, Mohamed Chetouani, Andras Sarkany, Peter Kun, Kristian Fenech, András Lörincz

Proceedings of the International Conference on Multimodal Interaction, 2023

2022

Perceived personality state estimation in dyadic and small group interaction with deep learning methods.

Kristian Fenech, Ádám Fodor, Sean P. Bergeron, Rachid Riad Saboundji, Catharine Oertel, András Lorincz

CoRR, 2022

Towards creating a conversational memory for long-term meeting support: predicting memorable moments in multi-party conversations through eye-gaze.

Maria Tsfasman, Kristian Fenech, Morita Tarvirdians, András Lörincz, Catholijn M. Jonker, Catharine Oertel

Proceedings of the International Conference on Multimodal Interaction, 2022

2021

Minimizing false negative rate in melanoma detection and providing insight into the causes of classification.

Ellák Somfai, Benjámin Baffy, Kristian Fenech, Changlu Guo, Rita Hosszú, Dorina Korózs, Fabrizio Nunnari, Marcell Pólik, Daniel Sonntag, Attila Ulbert, András Lorincz

CoRR, 2021