Search Results for author: Danila Rukhovich

Found 8 papers, 7 papers with code

Top-Down Beats Bottom-Up in 3D Instance Segmentation

1 code implementation6 Feb 2023 Maksim Kolodiazhnyi, Anna Vorontsova, Anton Konushin, Danila Rukhovich

Most 3D instance segmentation methods exploit a bottom-up strategy, typically including resource-exhaustive post-processing.

Ranked #3 on 3D Instance Segmentation on S3DIS (using extra training data)

3D Instance Segmentation Semantic Segmentation

TR3D: Towards Real-Time Indoor 3D Object Detection

1 code implementation6 Feb 2023 Danila Rukhovich, Anna Vorontsova, Anton Konushin

Our model with early feature fusion, which we refer to as TR3D+FF, outperforms existing 3D object detection approaches on the SUN RGB-D dataset.

3D Object Detection object-detection

FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

2 code implementations1 Dec 2021 Danila Rukhovich, Anna Vorontsova, Anton Konushin

Existing 3D object detection methods make prior assumptions on the geometry of objects, and we argue that it limits their generalization ability.

3D Object Detection object-detection

ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

3 code implementations2 Jun 2021 Danila Rukhovich, Anna Vorontsova, Anton Konushin

To address this problem, we propose ImVoxelNet, a novel fully convolutional method of 3D object detection based on monocular or multi-view RGB images.

Monocular 3D Object Detection object-detection +1

Learning High-Resolution Domain-Specific Representations with a GAN Generator

1 code implementation18 Jun 2020 Danil Galeev, Konstantin Sofiiuk, Danila Rukhovich, Mikhail Romanov, Olga Barinova, Anton Konushin

Based on this finding, we propose LayerMatch scheme for approximating the representation of a GAN generator that can be used for unsupervised domain-specific pretraining.

Semi-Supervised Semantic Segmentation Vocal Bursts Intensity Prediction

IterDet: Iterative Scheme for Object Detection in Crowded Environments

1 code implementation12 May 2020 Danila Rukhovich, Konstantin Sofiiuk, Danil Galeev, Olga Barinova, Anton Konushin

Deep learning-based detectors usually produce a redundant set of object bounding boxes including many duplicate detections of the same object.

object-detection Object Detection

MixMatch Domain Adaptaion: Prize-winning solution for both tracks of VisDA 2019 challenge

1 code implementation9 Oct 2019 Danila Rukhovich, Danil Galeev

We present a domain adaptation (DA) system that can be used in multi-source and semi-supervised settings.

Domain Adaptation

Estimation of Absolute Scale in Monocular SLAM Using Synthetic Data

no code implementations2 Sep 2019 Danila Rukhovich, Daniel Mouritzen, Ralf Kaestner, Martin Rufli, Alexander Velizhev

This paper addresses the problem of scale estimation in monocular SLAM by estimating absolute distances between camera centers of consecutive image frames.

Unsupervised Domain Adaptation

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