11 citations · 21 across the 4 of their papers we have counts for
6 papers
OneFormer3D: One Transformer for Unified Point Cloud Segmentation
Maxim Kolodiazhnyi, Anna Vorontsova, Anton Konushin +1
Semantic, instance, and panoptic segmentation of 3D point clouds have been addressed using task-specific models of distinct design. Thereby, the similarity of all segmentation task…
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
Danila Rukhovich, Anna Vorontsova, Anton Konushin
In this paper, we introduce the task of multi-view RGB-based 3D object detection as an end-to-end optimization problem. To address this problem, we propose ImVoxelNet, a novel full…
Learning High-Resolution Domain-Specific Representations with a GAN Generator
Danil Galeev, Konstantin Sofiiuk, Danila Rukhovich +3
In recent years generative models of visual data have made a great progress, and now they are able to produce images of high quality and diversity. In this work we study representa…
IterDet: Iterative Scheme for Object Detection in Crowded Environments
Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev +2
Deep learning-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object. These boxes are then filtered using n…
MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge
Danila Rukhovich, Danil Galeev
We present a domain adaptation (DA) system that can be used in multi-source and semi-supervised settings. Using the proposed method we achieved 2nd place on multi-source track and…
Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data
Danila Rukhovich, Daniel Mouritzen, Ralf Kaestner +2
This paper addresses the problem of scale estimation in monocular SLAM by estimating absolute distances between camera centers of consecutive image frames. These estimates would im…