Talks and presentations

Rethinking Object Detection

December 09, 2020

Tutorial, Open Data Science Conference, Tokyo, Japan

Object localization/detection is one of the most crucial tasks in artificial intelligence and computer vision. The importance of object detection is that most of the vision tasks start with object localization. Real-world applications such as autonomous driving, personal/industrial robotics, person counting, object tracking, surveillance, OCR (optical character recognition) need to localize the object in the given image or video.

MLT Community Hangout

October 02, 2020

Talks, Online, Tokyo, Japan

Over the past 3 years, MLT has evolved from a 2-people study group to one of the biggest and most active technical Machine Learning communities in the world with around 8,000 members. As a nonprofit organization, MLT has tirelessly supported open education, open-source, and open science efforts in Artificial Intelligence in Japan. Over the past year more and more members, team leads, and partners from all over Asia, Europe, and America have joined MLT, and with increasing online efforts, MLT has become an organization that is based in Tokyo but operating globally.

Evaluation Metrics for Object Detection

June 28, 2020

Talk, YouTube, Tokyo, Japan

Global AI Hub invited me to give a talk on YouTube. In this video I have talked about evaluation metrics for object detection.

Data visualization

June 18, 2019

talk, Rakuten, Tokyo, Japan

The Earth-Life Science Institute at the Tokyo Institute of Technology held a Machine Learning and Deep Learning Bootcamp in collaboration with Machine Learning Tokyo for scientists in Biology, Chemistry, Astro- and Geophysics, and other fields researching the origins of life. Find the MLT materials on GitHub:

Convolutional Operations Workshop

June 08, 2019

Workshop, Deepcon, Tokyo, Japan

The MLT workshop on CNN Architectures has conducted by our MLT Core Team Engineers Dimitris Katsios, Mustafa Yagmur and Alisher Abdulkhaev.

Learning in Deep Networks

February 10, 2019

Workshop, Cookpad, Tokyo, Japan

Machine Learning Tokyo is organized a new deep learning workshop, Part II of our Deep Learning series. In this workshop we have looked at the learning process in Deep Networks, including small interactive implementation blocks.

One-shot learning

December 06, 2018

Talk, Couger, Tokyo, Japan

In this talk I have presented about one-shot learning - metric learning, siamese networks - and we had a hands-on implementation of siamese network training.

Convolutional Operations Workshop

November 25, 2018

Workshop, Rakuten, Tokyo, Japan

Machine Learning Tokyo is organized a new deep learning workshop, an Introduction to Convolution Operation @Rakuten. We have covered learn theoretical concepts underlying convolutional neural networks as well as some of the most important CNN architectures, including small interactive implementation blocks.

Object Detection Workshop

August 04, 2018

Workshop, Progate, Tokyo, Japan

Machine Learning Tokyo organized a workshop on Object Detection for the Deep Learning community in Tokyo. We have covered R-CNN, Fast R-CNN, Faster R-CNN and used the TensorFlow Object Detection API for the implementation part.

GAN Workshop

June 30, 2018

Workshop, Progate, Tokyo, Japan

Machine Learning Tokyo organized a hands-on workshop on GANs (Generative Adversarial Networks) for the Deep Learning community in Tokyo. The session was dynamic and interactive working session, with 3 essential parts: