The research conducted by Taiwan AI Labs has consistently maintained a leading position in the global research arena. We have assembled top AI experts, scholars, consultants, and talents from within the country, each possessing extensive experience and expertise in their respective fields.
Our team members regularly contribute to highly influential academic journals, publishing the latest research findings. Additionally, we actively participate in significant domestic and international seminars and academic exchange activities to facilitate scholarly communication and collaboration.
We are committed to continuous innovation in the field of artificial intelligence, driving technological advancement, and making positive contributions to the country’s scientific and technological development.
Blog
Investigating the Impact of Facebook Polarization on the 2021 Taiwanese Referendum
Taiwan has four important upcoming referendums on December 18, 2021. “Pork Imports”, “Referendum Dates”, “Nuclear Plant”, “Algae Reef Protection.” According to previous research, disinformation and manipulation of the media could influence public opinion on topics like these referendums. This study will examine how Facebook has affected the polarization of public opinion on these topics over the previous eleven months. The phenomenon of public opinion polarization and the factors affecting policy support and political attitudes will be analyzed using artificial intelligence technology. The polarization impact of pages that demonstrated evidence of potential media manipulation through coordinated behavior were considered. Within these pages, those that were shared most often are referred to as “amplifiers.”
Exploring Atypical Online Coincidental Behavior on PTT
This study focuses on atypical coincidental behavior on the Taiwan social media, PTT1, to discover attempts to manipulate public opinion during the outbreak of the COVID-19 in Taiwan from May through August 2021.
The Challenge of Speaker Diarization
Introduction
Speaker Diarization is the task to partition audio recordings into segments corresponding to the identity of the speaker. In short, a task to identify “who spoke when”. Speaker diarization can be used to analyze audio data…
Lyrics-free Singing Voice Generation
The conventional approach to generate singing voices is through singing voice synthesis (SVS) techniques. A human user feeds lyrics and MIDI scores (a sequence of notes) to a well-trained SVS model, and the model generates audio recordings following…
MuseMorphose: Music Style Transfer with A Transformer VAE
At Taiwan AI Labs, we are constantly pushing the frontier of deep music generation models. In the past year, we have rolled out Guitar Transformer (blog), which can compose human-readable guitar tabs with plausible fingerings, and Compound…
It is Enough to Take Only One Image: Re-exposure Images by Reconstructing Radiance Maps
Fig. 1 (Left) original image (Middle) result image of adjusting the brightness directly (Right) result image of adjusting the exposure on our reconstructed radiance map.
Nowadays, more and more people like to take pictures with smartphones…
360° Depth Estimation
360° videos provide an immersive environment for people to engage, and Taiwan Traveler is a smart online tourism platform that utilizes 360° panoramic views to realize virtual sightseeing experiences. To immerse users in the virtual world,…
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…
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…
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…
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.