93 citations · 158 across the 9 of their papers we have counts for
9 papers
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4
Jiaxian Guo, Bo Yang, Paul Yoo +3
Unlike perfect information games, where all elements are known to every player, imperfect information games emulate the real-world complexities of decision-making under uncertain o…
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
So Kuroki, Jiaxian Guo, Tatsuya Matsushima +7
Due to the inherent uncertainty in their deformability during motion, previous methods in deformable object manipulation, such as rope and cloth, often required hundreds of real-wo…
DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse Views
Paul Yoo, Jiaxian Guo, Yutaka Matsuo +1
Synthesizing novel view images from a few views is a challenging but practical problem. Existing methods often struggle with producing high-quality results or necessitate per-objec…
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Xin Zhang, Jiaxian Guo, Paul Yoo +2
Text-to-image generative models have attracted rising attention for flexible image editing via user-specified descriptions. However, text descriptions alone are not enough to elabo…
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
So Kuroki, Jiaxian Guo, Tatsuya Matsushima +7
Due to the inherent uncertainty in their deformability during motion, previous methods in rope manipulation often require hundreds of real-world demonstrations to train a manipulat…
Time-Travel Rephotography
Xuan Luo, Xuaner Zhang, Paul Yoo +3
Many historical people were only ever captured by old, faded, black and white photos, that are distorted due to the limitations of early cameras and the passage of time. This paper…
Deep Learning-Based Arrhythmia Detection Using RR-Interval Framed Electrocardiograms
Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo +2
Deep learning applied to electrocardiogram (ECG) data can be used to achieve personal authentication in biometric security applications, but it has not been widely used to diagnose…
An Enhanced Machine Learning-based Biometric Authentication System Using RR-Interval Framed Electrocardiograms
Amang Song-Kyoo Kim, Chan Yeob Yeun, Paul D. Yoo
This paper is targeted in the area of biometric data enabled security system based on the machine learning for the digital health. The disadvantages of traditional authentication s…
Efficient Machine Learning for Big Data: A Review
O. Y. Al-Jarrah, P. D. Yoo, S Muhaidat +2
With the emerging technologies and all associated devices, it is predicted that massive amount of data will be created in the next few years, in fact, as much as 90% of current dat…