research
∙
06/09/2022
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Despite recent progress in generative adversarial network(GAN)-based voc...
share
research
∙
05/30/2022
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data
We propose Guided-TTS 2, a diffusion-based generative model for high-qua...
research
∙
10/23/2021
Scalable Smartphone Cluster for Deep Learning
Various deep learning applications on smartphones have been rapidly risi...
research
∙
06/29/2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation
In this paper, we tackle the problem of image anomaly detection and segm...
research
∙
05/22/2020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
Recently, text-to-speech (TTS) models such as FastSpeech and ParaNet hav...
research
∙
03/12/2019
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection
Over the past decade, deep neural networks (DNNs) have become a de-facto...
research
∙
02/28/2019
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation
It is difficult to detect and remove secret images that are hidden in na...
research
∙
02/26/2019
HexaGAN: Generative Adversarial Nets for Real World Classification
Most deep learning classification studies assume clean data. However, di...
research
∙
09/10/2018
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks
The spiking neural networks (SNNs), the 3rd generation of neural network...
research
∙
07/31/2018
Security and Privacy Issues in Deep Learning
With the development of machine learning, expectations for artificial in...
research
∙
04/13/2018
MSnet: Mutual Suppression Network for Disentangled Video Representations
The extraction of meaningful features from videos is important as they c...
research
∙
12/11/2017
