65 citations · 100 across the 18 of their papers we have counts for
5 papers · 1 filter
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Vage Egiazarian, Savva Ignatyev, Alexey Artemov +5
Constructing high-quality generative models for 3D shapes is a fundamental task in computer vision with diverse applications in geometry processing, engineering, and design. Despit…
Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem
Sergey Pavlov, Alexey Artemov, Maksim Sharaev +2
Segmentation of tumors in brain MRI images is a challenging task, where most recent methods demand large volumes of data with pixel-level annotations, which are generally costly to…
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…
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…