9 citations · 16 across the 6 of their papers we have counts for
8 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…
Floorplan-Aware Camera Poses Refinement
Anna Sokolova, Filipp Nikitin, Anna Vorontsova +1
Processing large indoor scenes is a challenging task, as scan registration and camera trajectory estimation methods accumulate errors across time. As a result, the quality of recon…
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…
Towards General Purpose Geometry-Preserving Single-View Depth Estimation
Mikhail Romanov, Nikolay Patatkin, Anna Vorontsova +3
Single-view depth estimation (SVDE) plays a crucial role in scene understanding for AR applications, 3D modeling, and robotics, providing the geometry of a scene based on a single…
Training Deep SLAM on Single Frames
Igor Slinko, Anna Vorontsova, Dmitry Zhukov +2
Learning-based visual odometry and SLAM methods demonstrate a steady improvement over past years. However, collecting ground truth poses to train these methods is difficult and exp…
Measuring robustness of Visual SLAM
David Prokhorov, Dmitry Zhukov, Olga Barinova +2
Simultaneous localization and mapping (SLAM) is an essential component of robotic systems. In this work we perform a feasibility study of RGB-D SLAM for the task of indoor robot na…