The Magic to Disappear Cameraman: Removing Object from 8K 360° Videos
360° video, also known as immersive video, has been increasingly popular and drawn great attention nowadays since it unlocks unlimited possibilities for content creators and encourages viewer engagement. One representative application which exploits the power of 360° videos is Taiwan Traveler. Taiwan Traveler, Taiwan’s first smart tourism platform developed by Taiwan AI Labs, aims to […]
Azoospermia with Deep Learning Object Detection
Introduce Azoospermia Azoospermia is a medical term implying the condition of no measurable sperm in a man’s semen. It is also the main challenge in male infertility. Azoospermia could be divided into two classes, including obstructive azoospermia(OA) and non-obstructive azoospermia(NOA). For OA, the testicular size and serum hormone profile are normal. On the other hand, […]
Compound Word Transformer: Generate Pop Piano Music of Full-Song Length
Over the past months, we attempted to let transformer models learn to generate full-song music, and here is our first attempt towards that, the Compound Word Transformer. A paper describing this work is going to be published as a full paper at AAAI 2021, the premier conference in the field of artificial intelligence. You can […]
Label360: An Annotation Interface for Labeling Instance-Aware Semantic Labels on Panoramic Full Images
We developed an annotation tool—Label360 to solve the distortion and instance matching issues across different viewing aspects in
spherical image annotations. A post-processing algorithm was introduced to generate distortion-free annotations on equirectangular
images.
DockCoV2: a drug database against SARS-CoV-2
The current state of the COVID-19 pandemic is a global health crisis. From December 2019 to September 2020, SARS-CoV-2 has infected over 32 million people, and caused more than one million deaths worldwide. To fight the novel coronavirus, one of the best-known ways is to block enzymes essential for virus entry or replication. The Genomics […]
Guitar Transformer and Jazz Transformer
At the Yating Music Team of the Taiwan AI Labs, we are developing new music composing AI models extending from our previous Pop Music Transformer model (see the previous blog). In October 2020, we are going to present two full papers documenting some of our latest result at the International Society for Music Information Retrieval […]
Ensure High Availability for Services: Endpoint Monitoring with AWS
HA and Monitoring Availability is a quality attribute that, in general, refers to the degree to which a system is in an operable state. High availability then describes the set up of infrastructure that prevents a single point of failure and decreases service downtime. In Taiwan AILabs, the Engine team focuses on assuring not only […]
Harmonia: an Open-source Federated Learning Framework
Federated learning is a machine learning method that enables multiple parties (e.g., mobile devices or organization) to collaboratively train a model orchestrated by a trustable central server while keeping data locally. It has gained a lot of attention recently due to the increasing awareness of data privacy. In Taiwan AI Labs, we started an open […]
Missing facts and source classifier of daily news
With the development of the Internet, it is convenient that one can get news from network rapidly. Nonetheless, it is also dangerous since a person might have a preference for a specific news medium over others, and the news medium may have its position to report news while missing some facts that they do not want people to know. For the purpose, we propose a system to detect missing facts from a news report.
Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions
Paper (ACM Multimedia 2020): https://arxiv.org/abs/2002.00212 (pre-print) Code (GitHub): https://github.com/YatingMusic/remi We’ve developed Pop Music Transformer, a deep learning model that can generate pieces of expressive Pop piano music of several minutes. Unlike existing models for music composition, our model learns to compose music over a metrical structure defined in terms of bars, beats, and sub-beats. […]