no code implementations • 2 Jun 2023 • Chia-Chun Chung, Pei-Chun Chang, Yong-Sheng Chen, Haoyuan He, Chinson Yeh
In this paper, we propose SASMU, a simple, novel, and effective method for face recognition using a synthetic dataset.
no code implementations • 3 Jul 2022 • Pei-Chun Chang, Yan-Yu Tien, Chia-Lin Chen, Li-Fen Chen, Yong-Sheng Chen, Hui-Ling Chan
Our experimental results suggest that the proposed framework accomplishes two goals: (1) reconstructing clear facial images from fMRI data and (2) maintaining the consistency of semantic characteristics.
1 code implementation • 29 Dec 2021 • Hitika Tiwari, Min-Hung Chen, Yi-Min Tsai, Hsien-Kai Kuo, Hung-Jen Chen, Kevin Jou, K. S. Venkatesh, Yong-Sheng Chen
Therefore, we propose a Self-Supervised RObustifying GUidancE (ROGUE) framework to obtain robustness against occlusions and noise in the face images.
1 code implementation • 18 Sep 2021 • Pei-Chun Chang, Yong-Sheng Chen, Chang-Hsing Lee
First, an input music signal is divided into a number of fixed-duration (3 seconds in this study) music clips, and the raw waveform of each music clip is fed into 1D MS-SincNet filter learning module to obtain three-channel 2D representations.
1 code implementation • ICCV 2021 • Jia-Ren Chang, Yong-Sheng Chen, Wei-Chen Chiu
The main idea of the facial motion cycle-consistency is that, given a face with expression, we can perform de-expression to a neutral face via the removal of facial motion and further perform re-expression to reconstruct back to the original face.
1 code implementation • 3 Dec 2020 • Ping-Yang Chen, Ming-Ching Chang, Jun-Wei Hsieh, Yong-Sheng Chen
Feature Pyramid (FP) is widely used in recent visual detection, however the top-down pathway of FP cannot preserve accurate localization due to pooling shifting.
Ranked #1 on Object Detection on UAVDT
6 code implementations • CVPR 2018 • Jia-Ren Chang, Yong-Sheng Chen
The spatial pyramid pooling module takes advantage of the capacity of global context information by aggregating context in different scales and locations to form a cost volume.
1 code implementation • 29 Sep 2017 • Jia-Ren Chang, Yong-Sheng Chen
For examples, the Inception architecture integrates multi-scale subnetworks and the residual network can be regarded that a residual unit combines a residual subnetwork with an identity shortcut.
Ranked #14 on Image Classification on SVHN
1 code implementation • 9 Nov 2015 • Jia-Ren Chang, Yong-Sheng Chen
This paper reports a novel deep architecture referred to as Maxout network In Network (MIN), which can enhance model discriminability and facilitate the process of information abstraction within the receptive field.
Ranked #9 on Image Classification on MNIST