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Hi There 🥰

I'm a 4th year student at Lomonosov MSU, have broad interests in computer vision and deep learning, particularly in 3D video processing.

Main Skills: Python, PyTorch, Linux, Git

Research

Preview Description

Example of color mismatch

Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method
Egor Chistov, Nikita Alutis, Maxim Velikanov, Dmitriy Vatolin
arXiv, 2023
paper / code / real-world dataset / colab

Color-mismatch correction is the task of transferring color from one view of a stereopair to corresponding areas in another where the colors differ incorrectly.

Example of deblurring

MSU Video Deblurring Benchmark
Nikita Alutis, Egor Chistov, Mikhail Dremin, Dmitriy Vatolin
paper in progress
leaderboard / methodology / code

Deblurring is the process of removing blurring artifacts from images. Video deblurring recovers a sharp sequence from a blurred one.

Example of scale discrepancy

Scale trajectory predicted by SfM Learner
Egor Chistov, Maxim Tregubenko, Sergey Linok
unpublished, 2022
code / slides [ru]

Visual odometry is the process of determining the position and orientation of a camera by analyzing images. One of the visual odometry problems is the discrepancy between the scale of the predicted and ground truth trajectory.

Education

 Years  Activity Links
 2019-
Bachelor's degree at Computational Mathematics and Cybernetics Faculty of Lomonosov MSU, 4.675 GPA homepage, grades
 2021-
Artificial Intelligence Academic Program homepage [ru]
 2022  Sirius & AIRI Summer School homepage [ru]
 2021  C++ Development Basics Course cert [ru]
 2019-2020  MSU Cyberschool homepage [ru], cert [ru]
 2019  Neural Networks and Computer Vision Course homepage [ru], cert [ru]
 2019  Yandex Backend-Development School (Python) homepage [ru], cert [ru]

Awards

  • 86th place in Image Matching Challenge 2022 at Kaggle, homepage

Egor Chistov's Projects

color-transfer icon color-transfer

6 Color Transfer / Mismatch Correction methods in Python including [arXiv:2303.06657] “Color Mismatches in Stereoscopic Video: Real-World Dataset and Deep Correction Method,” 2024

sfm icon sfm

Scale trajectory predicted by SfM Learner (unsupervised depth and ego-motion from monocular video estimator)

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