Computer Vision Lab

Nikolay Falaleev



A Robotics, Computer Vision and Machine Learning lab by Nikolay Falaleev. The main focus of the blog is application of Deep Learning for Computer Vision tasks, as well as other relevant topics: classical Computer Vision, Numerical Methods and Hardware.

Here you can find all posts materials.

All Posts

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27 Oct 2023

Deep Learning in Sports and Autonomous Vehicles

Application of Deep Learning in Sports and similarities with the Self-Drivind field.

12 mins read
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20 Jun 2023

Top-1 solution of SoccerNet Camera Calibration Challenge 2023

An approach to generate camera calibration values from football broadcast videos.

10 mins read
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30 Nov 2022

Four generations of Nvidia GPUs compared

Benchmark results of GTX 1080 TI, RTX 2080Ti, 3090 and 4090 on DL tasks.

5 mins read
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29 Jun 2020

Multi-task learning loss balancing

Balancing temporal and spatial losses for simultenious training of multi-task neural networks for video processing and some data tips.

7 mins read
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06 Nov 2018

Benchmarking RTX 2080 Ti vs Pascal GPUs vs Tesla V100 with DL tasks

Comparation of Nvidia RTX 2080 Ti with GTX 1080 Ti and 1070.

3 mins read
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24 Oct 2018

Semantic Segmentation of Seismic Reflection Images

A gold medal solution of the TGS Salt Identification Challenge.

12 mins read
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23 Oct 2018

About Kaggle TGS Salt Identification Challenge

Kaggle Challenge to segment salt deposits beneath the Earth's surface on seismic images.

1 min read
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05 Jun 2018

Discussion of the Lyft Perception Challenge

How to increase inference speed on a semantic segmentation task and further ideas.

4 mins read
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05 Jun 2018

Multiclass semantic segmentation with LinkNet34

A CNN approach used for multiclass semantic segmentation during the Lyft Perception Challenge.

6 mins read
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31 May 2018

About Lyft Perception Challenge

A partnered Lyft and Udacity semantic segmentation challenge with synthetic images.

2 mins read