23 citations · 43 across the 8 of their papers we have counts for
8 papers
Gated Low-rank Adaptation for personalized Code-Switching Automatic Speech Recognition on the low-spec devices
Gwantae Kim, Bokyeung Lee, Donghyeon Kim +1
In recent times, there has been a growing interest in utilizing personalized large models on low-spec devices, such as mobile and CPU-only devices. However, utilizing a personalize…
Towards Multi-domain Face Landmark Detection with Synthetic Data from Diffusion model
Yuanming Li, Gwantae Kim, Jeong-gi Kwak +2
Recently, deep learning-based facial landmark detection for in-the-wild faces has achieved significant improvement. However, there are still challenges in face landmark detection i…
MPE4G: Multimodal Pretrained Encoder for Co-Speech Gesture Generation
Gwantae Kim, Seonghyeok Noh, Insung Ham +1
When virtual agents interact with humans, gestures are crucial to delivering their intentions with speech. Previous multimodal co-speech gesture generation models required encoded…
3d human motion generation from the text via gesture action classification and the autoregressive model
Gwantae Kim, Youngsuk Ryu, Junyeop Lee +3
In this paper, a deep learning-based model for 3D human motion generation from the text is proposed via gesture action classification and an autoregressive model. The model focuses…
Efficient dynamic filter for robust and low computational feature extraction
Donghyeon Kim, Gwantae Kim, Bokyeung Lee +3
Unseen noise signal which is not considered in a model training process is difficult to anticipate and would lead to performance degradation. Various methods have been investigated…
SpecMix : A Mixed Sample Data Augmentation method for Training withTime-Frequency Domain Features
Gwantae Kim, David K. Han, Hanseok Ko
A mixed sample data augmentation strategy is proposed to enhance the performance of models on audio scene classification, sound event classification, and speech enhancement tasks.…
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
Andreas Lugmayr, Martin Danelljan, Radu Timofte +43
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world settin…
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…