Lam Huynh

I am a first-year PhD student at Center for Machine Vision and Signal Analysis, University of Oulu, Finland, where I am co-advised by Prof. Janne Heikkilä and Prof. Esa Rahtu. My work is funded by the Infotech Oulu.

I'm interested in 3D scene understanding, reconstruction and 3D human pose estimation. My work combines topics in computer vision and machine/deep learning.

I am curious about effective learning and teaching techniques. Cheers!

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Structure-from-motion using convolutional neural networks
Master thesis, funded by Cubicasa Oy
Published on Jultika, 2018
Supervisors: Prof. Janne Heikkilä, Dr. Markus Ylimäki

This work introduces a deep-learning-based structure-from-motion pipeline for the dense 3D scene reconstruction problem.

3D human pose estimation using deep neural networks
Summer internship, IMD lab NAIST, Japan. September, 15 2018

Working on Human pose estimation for Sprint (running) using learning-based approaches. In this work, I collaborated with MSc. Yuma Ouchi, Taisei Watanabe and Assoc. Prof. Takafumi Taketomi.

Reading notes
Camera poses and coordinates for dummies
Documentation, Oulu, March 2019

This document is for everyone who still confuse with the relative camera poses and the relationship betweeen the camera and world coordinate. How to do the transformation from one camera coordinate to the other camera coordinate. There are many ways to do this wrong, therefore we should clearly understand these terms.

University pedagogy training
Documentation, Oulu, March, 30 2019

Learning diary of the basic of university pedagogy, from which I learned the fundamental of teaching and had lot of interesting discussions. Thanks to Dr. Sonja Lutovac for this amazing course.

The four Rs technique to become a deep learner
Documentation, Oulu, April, 05 2019

A practical scheme to remember and understand deeply what we have learned.


Deep learning course, University of Oulu, Spring 2019
Teaching assisstant
Instructors: Dr. Li Liu, Dr. Jie Chen

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