4 citations · 8 across the 11 of their papers we have counts for
11 papers
BiTrackGAN: Cascaded CycleGANs to Constraint Face Aging
Tsung-Han Kuo, Zhenge Jia, Tei-Wei Kuo +1
With the increased accuracy of modern computer vision technology, many access control systems are equipped with face recognition functions for faster identification. In order to ma…
NFL: Robust Learned Index via Distribution Transformation
Shangyu Wu, Yufei Cui, Jinghuan Yu +3
Recent works on learned index open a new direction for the indexing field. The key insight of the learned index is to approximate the mapping between keys and positions with piece-…
A Fast Transformer-based General-Purpose Lossless Compressor
Yu Mao, Yufei Cui, Tei-Wei Kuo +1
Deep-learning-based compressor has received interests recently due to much improved compression ratio. However, modern approaches suffer from long execution time. To ease this prob…
SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points
Yu-Chen Lin, Cheng Yu, Yi-Te Hsu +3
Numerous compression and acceleration strategies have achieved outstanding results on classification tasks in various fields, such as computer vision and speech signal processing.…
Speech Recovery for Real-World Self-powered Intermittent Devices
Yu-Chen Lin, Tsun-An Hsieh, Kuo-Hsuan Hung +4
The incompleteness of speech inputs severely degrades the performance of all the related speech signal processing applications. Although many researches have been proposed to addre…
Variational Nested Dropout
Yufei Cui, Yu Mao, Ziquan Liu +5
Nested dropout is a variant of dropout operation that is able to order network parameters or features based on the pre-defined importance during training. It has been explored for:…