Search Results for author: Mikel Bober-Irizar

Found 6 papers, 3 papers with code

KaoKore: A Pre-modern Japanese Art Facial Expression Dataset

1 code implementation20 Feb 2020 Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto

From classifying handwritten digits to generating strings of text, the datasets which have received long-time focus from the machine learning community vary greatly in their subject matter.

Image Classification

Learning to Localize Temporal Events in Large-scale Video Data

1 code implementation25 Oct 2019 Mikel Bober-Irizar, Miha Skalic, David Austin

We address temporal localization of events in large-scale video data, in the context of the Youtube-8M Segments dataset.

Temporal Localization Video Recognition

Deep Learning for Classical Japanese Literature

7 code implementations3 Dec 2018 Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha

Much of machine learning research focuses on producing models which perform well on benchmark tasks, in turn improving our understanding of the challenges associated with those tasks.

Image Classification

Cultivating DNN Diversity for Large Scale Video Labelling

no code implementations13 Jul 2017 Mikel Bober-Irizar, Sameed Husain, Eng-Jon Ong, Miroslaw Bober

We investigate factors controlling DNN diversity in the context of the Google Cloud and YouTube-8M Video Understanding Challenge.

Video Understanding

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