Search Results for author: Nikolay Patakin

Found 4 papers, 2 papers with code

Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data

no code implementations CVPR 2022 Nikolay Patakin, Mikhail Romanov, Anna Vorontsova, Mikhail Artemyev, Anton Konushin

On the contrary, we propose GP$^{2}$, General-Purpose and Geometry-Preserving training scheme, and show that conventional SVDE models can learn correct shifts themselves without any post-processing, benefiting from using stereo data even in the geometry-preserving setting.

3D Reconstruction Depth Estimation +1

Independent Component Alignment for Multi-Task Learning

1 code implementation CVPR 2023 Dmitry Senushkin, Nikolay Patakin, Arseny Kuznetsov, Anton Konushin

In this work, we propose using a condition number of a linear system of gradients as a stability criterion of an MTL optimization.

Depth Estimation Instance Segmentation +3

Decoder Modulation for Indoor Depth Completion

1 code implementation18 May 2020 Dmitry Senushkin, Mikhail Romanov, Ilia Belikov, Anton Konushin, Nikolay Patakin

Our second contribution is a novel training strategy that allows us to train on a semi-dense sensor data when the ground truth depth map is not available.

Decoder Depth Completion +2

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