11 citations · 38 across the 20 of their papers we have counts for
6 papers · 1 filter
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…
Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data
Nikolay Patakin, Mikhail Romanov, Anna Vorontsova +2
Nowadays, robotics, AR, and 3D modeling applications attract considerable attention to single-view depth estimation (SVDE) as it allows estimating scene geometry from a single RGB…
Independent Component Alignment for Multi-Task Learning
Dmitry Senushkin, Nikolay Patakin, Arseny Kuznetsov +1
In a multi-task learning (MTL) setting, a single model is trained to tackle a diverse set of tasks jointly. Despite rapid progress in the field, MTL remains challenging due to opti…
Contour-based Interactive Segmentation
Danil Galeev, Polina Popenova, Anna Vorontsova +1
Recent advances in interactive segmentation (IS) allow speeding up and simplifying image editing and labeling greatly. The majority of modern IS approaches accept user input in the…
Top-Down Beats Bottom-Up in 3D Instance Segmentation
Maksim Kolodiazhnyi, Anna Vorontsova, Anton Konushin +1
Most 3D instance segmentation methods exploit a bottom-up strategy, typically including resource-exhaustive post-processing. For point grouping, bottom-up methods rely on prior ass…
TR3D: Towards Real-Time Indoor 3D Object Detection
Danila Rukhovich, Anna Vorontsova, Anton Konushin
Recently, sparse 3D convolutions have changed 3D object detection. Performing on par with the voting-based approaches, 3D CNNs are memory-efficient and scale to large scenes better…