103 citations · 171 across the 14 of their papers we have counts for
4 papers · 2 filters
Learning to Approximate Directional Fields Defined over 2D Planes
Maria Taktasheva, Albert Matveev, Alexey Artemov +1
Reconstruction of directional fields is a need in many geometry processing tasks, such as image tracing, extraction of 3D geometric features, and finding principal surface directio…
Procedural Synthesis of Remote Sensing Images for Robust Change Detection with Neural Networks
Maria Kolos, Anton Marin, Alexey Artemov +1
Data-driven methods such as convolutional neural networks (CNNs) are known to deliver state-of-the-art performance on image recognition tasks when the training data are abundant. H…
Boundary Loss for Remote Sensing Imagery Semantic Segmentation
Alexey Bokhovkin, Evgeny Burnaev
In response to the growing importance of geospatial data, its analysis including semantic segmentation becomes an increasingly popular task in computer vision today. Convolutional…
Monocular 3D Object Detection via Geometric Reasoning on Keypoints
Ivan Barabanau, Alexey Artemov, Evgeny Burnaev +1
Monocular 3D object detection is well-known to be a challenging vision task due to the loss of depth information; attempts to recover depth using separate image-only approaches lea…