Áron Fóthi

According to our database, Áron Fóthi authored at least 14 papers between 2016 and 2026.

Collaborative distances:

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

2026

Adaptive framework for ambient intelligence in rehabilitation assistance.

Gábor Baranyi, Zsolt Csibi, Kristian Fenech, Áron Fóthi, Zsófia Gaál, Joul Skaf, András Lorincz

J. Ambient Intell. Humaniz. Comput., January, 2026

2024

Cluster2Former: Semisupervised Clustering Transformers for Video Instance Segmentation.

Áron Fóthi, Adrián Szlatincsán, Ellák Somfai

Sensors, February, 2024

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

Áron Fóthi, Joul Skaf, Fengjiao Lu, Kristian Fenech

Pattern Recognit. Lett., 2024

Skel3D: Skeleton Guided Novel View Synthesis.

Áron Fóthi, Bence Fazekas, Natabara Máté Gyöngyössy, Kristian Fenech

CoRR, 2024

A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images.

László Kopácsi, Áron Fóthi, András Lorincz

CoRR, 2024

2022

Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness.

Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz

Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

2021

RATS: Robust Automated Tracking and Segmentation of Similar Instances.

László Kopácsi, Árpád Dobolyi, Áron Fóthi, Dávid Keller, Viktor Varga, András Lorincz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Multi Object Tracking for Similar Instances: A Hybrid Architecture.

Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks.

László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz

Proceedings of the International Joint Conference on Neural Networks, 2019

Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation.

Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Towards reasoning based representations: Deep Consistence Seeking Machine.

András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, Andras Sarkany, Zoltan Toser

Cogn. Syst. Res., 2018

2017

Fine-tuning deep CNN models on specific MS COCO categories.

Daniel Sonntag, Michael Barz, Jan Zacharias, Sven Stauden, Vahid Rahmani, Áron Fóthi, András Lörincz

CoRR, 2017

Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition.

András Lörincz, Áron Fóthi, Bryar O. Rahman, Viktor Varga

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Cognitive Deep Machine Can Train Itself.

András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, András Sárkány, Zoltán Tosér

CoRR, 2016