no code implementations • 24 Apr 2024 • Gwantae Kim, Bokyeung Lee, Donghyeon Kim, Hanseok Ko
To tackle this problem, we propose code-switching speech recognition models that incorporate fine-tuned monolingual and multilingual speech recognition models.
Automatic Speech Recognition
parameter-efficient fine-tuning
+2
no code implementations • 28 Dec 2023 • Hankyul Baek, Donghyeon Kim, Joongheon Kim
Spurred by consistent advances and innovation in deep learning, object detection applications have become prevalent, particularly in autonomous driving that leverages various visual data.
no code implementations • 8 Sep 2023 • Daegyu Lim, Myeong-Ju Kim, Junhyeok Cha, Donghyeon Kim, Jaeheung Park
The estimation of external joint torque and contact wrench is essential for achieving stable locomotion of humanoids and safety-oriented robots.
no code implementations • 20 Oct 2022 • Donghyeon Kim, Kyungdeuk Ko, David K. Han, Hanseok Ko
In order to train the network for more robust performance in noisy environments, we introduce the LOw Variant Orthogonal (LOVO) loss.
1 code implementation • 21 Jul 2022 • Jeong-gi Kwak, Yuanming Li, Dongsik Yoon, Donghyeon Kim, David Han, Hanseok Ko
To alleviate the issue, many 3D-aware GANs have been proposed and shown notable results, but 3D GANs struggle with editing semantic attributes.
no code implementations • 3 May 2022 • Donghyeon Kim, Gwantae Kim, Bokyeung Lee, Jeong-gi Kwak, David K. Han, Hanseok Ko
However, the performance of the dynamic filter might be degraded since simple feature pooling is used to reduce the computational resource in the IDF part.
no code implementations • 20 Apr 2022 • Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Li Xuesong, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern Menze, Meritxell Bach Cuadra, Andras Jakab
Automatic segmentation of the developing fetal brain is a vital step in the quantitative analysis of prenatal neurodevelopment both in the research and clinical context.
1 code implementation • 6 Jan 2022 • Mujeen Sung, Minbyul Jeong, Yonghwa Choi, Donghyeon Kim, Jinhyuk Lee, Jaewoo Kang
In biomedical natural language processing, named entity recognition (NER) and named entity normalization (NEN) are key tasks that enable the automatic extraction of biomedical entities (e. g. diseases and drugs) from the ever-growing biomedical literature.
Ranked #3 on
Named Entity Recognition (NER)
on BC4CHEMD
1 code implementation • 8 Dec 2021 • Jeong-gi Kwak, Youngsaeng Jin, Yuanming Li, Dongsik Yoon, Donghyeon Kim, Hanseok Ko
To address this issue, we propose a novel GAN model, i. e., AU-GAN, which has an asymmetric architecture for adverse domain translation.
no code implementations • 23 Sep 2021 • Donghyeon Kim, Kyungdeuk Ko, Jeonggi Kwak, David K. Han, Hanseok Ko
Keyword Spotting (KWS) from speech signals is widely applied to perform fully hands-free speech recognition.
2 code implementations • 1 Jul 2020 • Minbyul Jeong, Mujeen Sung, Gangwoo Kim, Donghyeon Kim, Wonjin Yoon, Jaehyo Yoo, Jaewoo Kang
We observe that BioBERT trained on the NLI dataset obtains better performance on Yes/No (+5. 59%), Factoid (+0. 53%), List type (+13. 58%) questions compared to performance obtained in a previous challenge (BioASQ 7B Phase B).
3 code implementations • 18 Sep 2019 • Wonjin Yoon, Jinhyuk Lee, Donghyeon Kim, Minbyul Jeong, Jaewoo Kang
The recent success of question answering systems is largely attributed to pre-trained language models.
1 code implementation • IEEE Access 2019 • Donghyeon Kim, Jinhyuk Lee, Chan Ho So, Hwisang Jeon, Minbyul Jeong, Yonghwa Choi, Wonjin Yoon, Mujeen Sung, Jaewoo Kang
Also, the traditional text mining tools do not consider overlapping entities, which are frequently observed in multi-type named entity recognition results.
Ranked #4 on
Named Entity Recognition (NER)
on LINNAEUS
19 code implementations • 25 Jan 2019 • Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, Jaewoo Kang
Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows.
Ranked #1 on
Named Entity Recognition (NER)
on Species-800
1 code implementation • 5 Sep 2018 • Donghyeon Kim, Jinhyuk Lee, Donghee Choi, Jaehoon Choi, Jaewoo Kang
With online calendar services gaining popularity worldwide, calendar data has become one of the richest context sources for understanding human behavior.