Search Results for author: Ryo Suzuki

Found 7 papers, 1 papers with code

Augmented Math: Authoring AR-Based Explorable Explanations by Augmenting Static Math Textbooks

1 code implementation30 Jul 2023 Neil Chulpongsatorn, Mille Skovhus Lunding, Nishan Soni, Ryo Suzuki

This empowers non-technical users, such as teachers or students, to transform existing math textbooks and handouts into on-demand and personalized explorable explanations.

Math Optical Character Recognition +1

LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies

no code implementations19 Mar 2023 Takami Sato, Yuki Hayakawa, Ryo Suzuki, Yohsuke Shiiki, Kentaro Yoshioka, Qi Alfred Chen

To fill these critical research gaps, we conduct the first large-scale measurement study on LiDAR spoofing attack capabilities on object detectors with 9 popular LiDARs, covering both first- and new-generation LiDARs, and 3 major types of object detectors trained on 5 different datasets.

Autonomous Driving Object +2

Teachable Reality: Prototyping Tangible Augmented Reality with Everyday Objects by Leveraging Interactive Machine Teaching

no code implementations21 Feb 2023 Kyzyl Monteiro, Ritik Vatsal, Neil Chulpongsatorn, Aman Parnami, Ryo Suzuki

This paper introduces Teachable Reality, an augmented reality (AR) prototyping tool for creating interactive tangible AR applications with arbitrary everyday objects.

RealityTalk: Real-Time Speech-Driven Augmented Presentation for AR Live Storytelling

no code implementations12 Aug 2022 Jian Liao, Adnan Karim, Shivesh Jadon, Rubaiat Habib Kazi, Ryo Suzuki

We present RealityTalk, a system that augments real-time live presentations with speech-driven interactive virtual elements.

Video Editing

Oscillating Multiple Giants

no code implementations13 Jan 2021 Ryo Suzuki

We propose a new example of the AdS/CFT correspondence between the system of multiple giant gravitons in AdS${}_5 \times {}$S${}^5$ and the operators with $O(N_c)$ dimensions in ${\cal N}=4$ super Yang-Mills.

High Energy Physics - Theory

Learning Syntactic Program Transformations from Examples

no code implementations31 Aug 2016 Reudismam Rolim, Gustavo Soares, Loris D'Antoni, Oleksandr Polozov, Sumit Gulwani, Rohit Gheyi, Ryo Suzuki, Bjoern Hartmann

In the second domain, we use repetitive edits applied by developers to the same project to synthesize a program transformation that applies these edits to other locations in the code.

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