no code implementations • 28 Apr 2023 • Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Shang-Hua Yang, Chia-Wen Lin
Terahertz (THz) tomographic imaging has recently attracted significant attention thanks to its non-invasive, non-destructive, non-ionizing, material-classification, and ultra-fast nature for object exploration and inspection.
no code implementations • 10 Apr 2023 • Weng-Tai Su, Min-Hung Chen, Chien-Yi Wang, Shang-Hong Lai, Trista Pei-Chun Chen
Kinship recognition aims to determine whether the subjects in two facial images are kin or non-kin, which is an emerging and challenging problem.
no code implementations • 30 Apr 2022 • Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Chia-Wen Lin, Shang-Hua Yang
Visualizing information inside objects is an ever-lasting need to bridge the world from physics, chemistry, biology to computation.
no code implementations • 24 Jan 2022 • Hao-Chiang Shao, Hsing-Lei Ping, Kuo-shiuan Chen, Weng-Tai Su, Chia-Wen Lin, Shao-Yun Fang, Pin-Yian Tsai, Yan-Hsiu Liu
To address the problem, we propose a deep learning-based layout novelty detection scheme to identify novel (unseen) layout patterns, which cannot be well predicted by a pre-trained pre-simulation model.
no code implementations • 13 Mar 2021 • Hao-Chiang Shao, Hsin-Chieh Wang, Weng-Tai Su, Chia-Wen Lin
Here we focus on the problem that noisy labels are primarily mislabeled samples, which tend to be concentrated near decision boundaries, rather than uniformly distributed, and whose features should be equivocal.
1 code implementation • 22 Jul 2018 • Chih-Chung Hsu, Chia-Wen Lin, Weng-Tai Su, Gene Cheung
Despite generative adversarial networks (GANs) can hallucinate photo-realistic high-resolution (HR) faces from low-resolution (LR) faces, they cannot guarantee preserving the identities of hallucinated HR faces, making the HR faces poorly recognizable.
no code implementations • 10 Feb 2017 • Weng-Tai Su, Gene Cheung, Chia-Wen Lin
Recent advent in graph signal processing (GSP) has led to the development of new graph-based transforms and wavelets for image / video coding, where the underlying graph describes inter-pixel correlations.
no code implementations • 15 Nov 2016 • Gene Cheung, Weng-Tai Su, Yu Mao, Chia-Wen Lin
In response, we derive an optimal perturbation matrix $\boldsymbol{\Delta}$ - based on a fast lower-bound computation of the minimum eigenvalue of $\mathbf{L}$ via a novel application of the Haynsworth inertia additivity formula---so that $\mathbf{L} + \boldsymbol{\Delta}$ is positive semi-definite, resulting in a stable signal prior.