Search Results for author: Olga Barinova

Found 8 papers, 5 papers with code

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

f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation

3 code implementations CVPR 2020 Konstantin Sofiiuk, Ilia Petrov, Olga Barinova, Anton Konushin

We propose f-BRS (feature backpropagating refinement scheme) that solves an optimization problem with respect to auxiliary variables instead of the network inputs, and requires running forward and backward pass just for a small part of a network.

Interactive Segmentation

Training Deep SLAM on Single Frames

1 code implementation11 Dec 2019 Igor Slinko, Anna Vorontsova, Dmitry Zhukov, Olga Barinova, Anton Konushin

We train visual odometry model on synthetic data and do not use ground truth poses hence this model can be considered unsupervised.

Optical Flow Estimation Visual Odometry

Scene Motion Decomposition for Learnable Visual Odometry

no code implementations16 Jul 2019 Igor Slinko, Anna Vorontsova, Filipp Konokhov, Olga Barinova, Anton Konushin

Optical Flow (OF) and depth are commonly used for visual odometry since they provide sufficient information about camera ego-motion in a rigid scene.

Motion Estimation Optical Flow Estimation +1

Cannot find the paper you are looking for? You can Submit a new open access paper.