Dávid Szeghy

According to our database, Dávid Szeghy authored at least 3 papers between 2022 and 2024.

Collaborative distances:

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

2024

Multimodal Foundational Models for Unsupervised 3D General Obstacle Detection.

Tamás Matuszka, Péter Hajas, Dávid Szeghy

CoRR, 2024

2022

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception.

Tamás Matuszka, Iván Barton, Ádám Butykai, Péter Hajas, Dávid Kiss, Domonkos Kovács, Sándor Kunsági-Máté, Péter Lengyel, Gábor Németh, Levente Peto, Dezso Ribli, Dávid Szeghy, Szabolcs Vajna, Bálint Varga

CoRR, 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