4 papers
S23DR 2026 Winning Solution
Jan Skvrna, Miroslav Purkrabek, Lukas Neumann
This text presents the winning solution to the S23DR 2026 challenge for structured 3D wireframe reconstruction from sparse SfM, fitted depth, and semantic segmentations. The method…
Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between
OndÅej Týbl, Lukáš Neumann
We introduce Universal Neural Architecture Space (UniNAS), a generic search space for neural architecture search (NAS) which unifies convolutional networks, transformers, and their…
Structured Semantic 3D Reconstruction (S23DR) Challenge 2025 -- Winning solution
Jan Skvrna, Lukas Neumann
This paper presents the winning solution for the S23DR Challenge 2025, which involves predicting a house's 3D roof wireframe from a sparse point cloud and semantic segmentations. O…
MonoSOWA: Scalable monocular 3D Object detector Without human Annotations
Jan Skvrna, Lukas Neumann
Inferring object 3D position and orientation from a single RGB camera is a foundational task in computer vision with many important applications. Traditionally, 3D object detection…