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Sándor Kunsági-Máté

3 papers hereh-index 350 citations4 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • q-fin.CP1

identity via Semantic Scholar / OpenAlex

most citedaiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception

7 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving

Sándor Kunsági-Máté, Levente Pető, Lehel Seres +1

3D detection of traffic management objects, such as traffic lights and road signs, is vital for self-driving cars, particularly for address-to-address navigation where vehicles enc…

cs.CV2022★ 7 cited

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

Tamás Matuszka, Iván Barton, Ádám Butykai +11

Autonomous driving is a popular research area within the computer vision research community. Since autonomous vehicles are highly safety-critical, ensuring robustness is essential…

q-fin.CP2022

Deep Weighted Monte Carlo: A hybrid option pricing framework using neural networks

Sándor Kunsági-Máté, Gábor Fáth, István Csabai +1

Recent studies have demonstrated the efficiency of Variational Autoencoders (VAE) to compress high-dimensional implied volatility surfaces into a low dimensional representation. Al…

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