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researcher

Andrei Bursuc

38 papers hereh-index 212.3k citations47 works total

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

author position
  • middle author37
  • last author1

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • cs.CV35
  • cs.LG3
same name
  • Andrei Bursuc — 14 papers, h 9
  • Andrei Bursuc — 8 papers, h 3
  • Andrei Bursuc — 5 papers, h 3
  • Andrei Bursuc — 4 papers, h 3
  • Andrei Bursuc — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedLocalizing Objects with Self-Supervised Transformers and no Labels

107 citations · 236 across the 32 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Spot-the-shift: Evaluating Grounded Image Difference Captioning of Long-term Changes

Benedetta Liberatori, Nermin Samet, Paolo Rota +4

Long-term change understanding from images of the same place revisited over time is a challenging task with applications in map maintenance and urban infrastructure monitoring. Pri…

cs.CV2026

How Far Can 5,500 Hours of Driving Take You? A Scaling Law Analysis of Video Diffusion Models

Victor Besnier, Anh-Quan Cao, Elias Ramzi +5

Video generation for autonomous driving cannot follow the web-scale route: driving data is expensive to collect, bound by privacy requirements, and cannot be scraped at will, so mo…

cs.CV2026

NewtPhys: Do Foundation Models Understand Newtonian Physics?

Sebastian Cavada, Soumava Paul, Tuan-Hung Vu +2

Previous work has evaluated physics reasoning in foundation models using synthetic or semi-synthetic scenes and visual question-answering tasks. However, these benchmarks emphasize…

cs.CV2026

Driving on Registers

Ellington Kirby, Alexandre Boulch, Yihong Xu +11

We present DrivoR, a simple and efficient transformer-based architecture for end-to-end autonomous driving. Our approach builds on pretrained Vision Transformers (ViTs) and introdu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.