Computer Vision Lab

Nikolay Falaleev

Blog

Welcome!

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

All of the blog post materials are available here.

All Posts

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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
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21 Feb 2018

An approach to predicted class balancing

An approach how to increase your position on a leaderpoard in a classification datascience competition by balancing predictions.

7 mins read
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20 Feb 2018

Camera model identification with deep learning

Ideas and approach to the Kaggle IEEE's Signal Processing Society - Camera Model Identification challenge.

5 mins read
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20 Oct 2017

How to run TensorFlow with CUDA 9 and cuDNN 7 in openSUSE on Ryzen

A set of instruction to run a modern version of the deep learning framework TensorFlow on AMD Ryzen.

5 mins read
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21 Sep 2017

Neural network for multiclass image segmentation

VGG16-based fully convolutional networks for semantic segmentation of images on Cityscapes

3 mins read
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01 Aug 2017

Image classification using SVM

Application of a linear SVM for image classification with HOG, binned color and color histogram features.

8 mins read