Cognitive Deep Machine Can Train Itself. - András Lörincz; Máté Csákvári; Áron Fóthi; Zoltán Ádám Milacski; András Sárkány; Zoltán Tosér (CoRR, 2016)

Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition. - András Lörincz; Áron Fóthi; Bryar O. Rahman; Viktor Varga (ICCV Workshops, 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)

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)

Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation. - Ádám Fodor; Áron Fóthi; László Kopácsi; Ellák Somfai; András Lorincz (IJCNN, 2019)

Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks. - László Kopácsi; Áron Fóthi; Ádám Fodor; Ellák Somfai; András Lorincz (IJCNN, 2019)

Multi Object Tracking for Similar Instances: A Hybrid Architecture. - Áron Fóthi; Kinga Bettina Faragó; László Kopácsi; Zoltán Ádám Milacski; Viktor Varga; András Lorincz (ICONIP (1), 2020)

RATS: Robust Automated Tracking and Segmentation of Similar Instances. - László Kopácsi; Árpád Dobolyi; Áron Fóthi; Dávid Keller; Viktor Varga; András Lorincz (ICANN (3), 2021)

Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. - Dávid Szeghy; Mahmoud Aslan; Áron Fóthi; Balázs Mészáros; Zoltán Ádám Milacski; András Lorincz (DeLTA, 2022)

A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images. - László Kopácsi; Áron Fóthi; András Lorincz (CoRR, 2024)

Skel3D: Skeleton Guided Novel View Synthesis. - Áron Fóthi; Bence Fazekas; Natabara Máté Gyöngyössy; Kristian Fenech (CoRR, 2024)

Deep NRSFM for multi-view multi-body pose estimation. - Áron Fóthi; Joul Skaf; Fengjiao Lu; Kristian Fenech (Pattern Recognit. Lett., 2024)

Cluster2Former: Semisupervised Clustering Transformers for Video Instance Segmentation. - Áron Fóthi; Adrián Szlatincsán; Ellák Somfai (Sensors, 2024)

Adaptive Framework for Ambient Intelligence in Rehabilitation Assistance. - Gábor Baranyi; Zsolt Csibi; Kristian Fenech; Áron Fóthi; Zsófia Gaál; Joul Skaf; András Lorincz (CoRR, 2025)