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Journal Articles
- 2024
[j3]Áron Fóthi, Joul Skaf
, Fengjiao Lu, Kristian Fenech:
Deep NRSFM for multi-view multi-body pose estimation. Pattern Recognit. Lett. 185: 218-224 (2024)- [j2]Áron Fóthi, Adrián Szlatincsán, Ellák Somfai:
Cluster2Former: Semisupervised Clustering Transformers for Video Instance Segmentation. Sensors 24(3): 997 (2024) - 2018
- [j1]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, Andras Sarkany, Zoltan Toser:
Towards reasoning based representations: Deep Consistence Seeking Machine. Cogn. Syst. Res. 47: 92-108 (2018)
Conference and Workshop Papers
- 2022
- [c6]Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz:
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. DeLTA 2022: 77-85 - 2021
- [c5]László Kopácsi, Árpád Dobolyi, Áron Fóthi, Dávid Keller, Viktor Varga, András Lorincz:
RATS: Robust Automated Tracking and Segmentation of Similar Instances. ICANN (3) 2021: 507-518 - 2020
- [c4]Áron Fóthi, Kinga Bettina Faragó, László Kopácsi, Zoltán Ádám Milacski, Viktor Varga, András Lorincz:
Multi Object Tracking for Similar Instances: A Hybrid Architecture. ICONIP (1) 2020: 436-447 - 2019
- [c3]Ádám Fodor, Áron Fóthi, László Kopácsi, Ellák Somfai, András Lorincz:
Skeletonization Combined with Deep Neural Networks for Superpixel Temporal Propagation. IJCNN 2019: 1-7 - [c2]László Kopácsi, Áron Fóthi, Ádám Fodor, Ellák Somfai, András Lorincz:
Common Fate Based Episodic Segmentation by Combining Supervoxels with Deep Neural Networks. IJCNN 2019: 1-7 - 2017
- [c1]András Lörincz, Áron Fóthi, Bryar O. Rahman, Viktor Varga:
Deep Gestalt Reasoning Model: Interpreting Electrophysiological Signals Related to Cognition. ICCV Workshops 2017: 2789-2797
Informal and Other Publications
- 2024
- [i4]László Kopácsi, Áron Fóthi, András Lorincz:
A Self-Supervised Method for Body Part Segmentation and Keypoint Detection of Rat Images. CoRR abs/2405.04650 (2024) - 2022
- [i3]Dávid Szeghy, Mahmoud Aslan, Áron Fóthi, Balázs Mészáros, Zoltán Ádám Milacski, András Lorincz:
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness. CoRR abs/2205.08955 (2022) - 2017
- [i2]Daniel Sonntag, Michael Barz, Jan Zacharias, Sven Stauden, Vahid Rahmani, Áron Fóthi, András Lörincz:
Fine-tuning deep CNN models on specific MS COCO categories. CoRR abs/1709.01476 (2017) - 2016
- [i1]András Lörincz, Máté Csákvári, Áron Fóthi, Zoltán Ádám Milacski, András Sárkány, Zoltán Tosér:
Cognitive Deep Machine Can Train Itself. CoRR abs/1612.00745 (2016)
Coauthor Index
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last updated on 2024-09-22 00:36 CEST by the dblp team
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