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researcher

Evgeny Burnaev

Applied AI Institute

26 papers hereh-index 386.4k citations203 works total

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

author position
  • middle author11
  • last author6

Across the 17 of 26 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.CL3
  • cs.CV2
  • cs.AI1
  • cs.CG1
  • cs.SD1
affiliations
  • Applied AI Institute
HomepageORCID 0000-0001-8424-0690

identity via Semantic Scholar / OpenAlex

works on
deep learning 1flood monitoring 1multimodal data 1remote sensing 1satellite imagery 1

From the 1 of 26 linked papers with an AI index.

activity
20242026
most citedLoss Barcode: A Topological Measure of Escapability in Loss Landscapes

3 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2026

Large scale cross-regional remote sensing flood monitoring framework for operative mapping and impact analysis

Ilya Novikov, Svetlana Illarionova, Ruslan Dzharkinov +6

The paper proposes an end‑to‑end multimodal deep‑learning framework that combines SAR, multispectral and elevation data to detect flood water surfaces and assess damage across larg…

cs.CV2025

Factored-NeuS: Reconstructing Surfaces, Illumination, and Materials of Possibly Glossy Objects

Yue Fan, Ningjing Fan, Ivan Skorokhodov +5

We develop a method that recovers the surface, materials, and illumination of a scene from its posed multi-view images. In contrast to prior work, it does not require any additiona…

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