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20192021
most citedReviving Iterative Training with Mask Guidance for Interactive Segmentation

8 citations · 8 across the 2 of their papers we have counts for

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cs.CV20218 cited

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

Konstantin Sofiiuk, Ilia A. Petrov, Anton Konushin

Recent works on click-based interactive segmentation have demonstrated state-of-the-art results by using various inference-time optimization schemes. These methods are considerably…

cs.CV2020

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…

cs.CV2020

Foreground-aware Semantic Representations for Image Harmonization

Konstantin Sofiiuk, Polina Popenova, Anton Konushin

Image harmonization is an important step in photo editing to achieve visual consistency in composite images by adjusting the appearances of foreground to make it compatible with ba…

cs.CV2020

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…

cs.CV2020

f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation

Konstantin Sofiiuk, Ilia Petrov, Olga Barinova +1

Deep neural networks have become a mainstream approach to interactive segmentation. As we show in our experiments, while for some images a trained network provides accurate segment…

cs.CV2019

DISCOMAN: Dataset of Indoor SCenes for Odometry, Mapping And Navigation

Pavel Kirsanov, Airat Gaskarov, Filipp Konokhov +7

We present a novel dataset for training and benchmarking semantic SLAM methods. The dataset consists of 200 long sequences, each one containing 3000-5000 data frames. We generate t…