Ha Young Kim

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Convolutional Network

Object Detection

Top Venues

Expert Syst. Appl.

Pattern Recognit. Lett.

Publications

Jeongeun Park, Minchae Kim, Ha Young Kim
Image Is All for Music Retrieval: Interactive Music Retrieval System Using Images with Mood and Theme Attributes. Int. J. Hum. Comput. Interact. 40 (14) (2024)
Ha Young Kim, Niranjan Balasubramanian, Byungkon Kang
On Initializing Transformers with Pre-trained Embeddings. CoRR (2024)
Jeongeun Park, Hyorim Shin, Changhoon Oh, Ha Young Kim
"Is Text-Based Music Search Enough to Satisfy Your Needs?" A New Way to Discover Music with Images. CHI (2024)
Sangrok Lee, Jongseong Bae, Ha Young Kim
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization. CoRR (2023)
Sangrok Lee, Jongseong Bae, Ha Young Kim
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization. CVPR (2023)
Sangrok Lee, Ha Young Kim
ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting. CoRR (2023)
Lennart Bastian, Vincent Bürgin, Ha Young Kim, Alexander Baumann, Benjamin Busam, Mahdi Saleh, Nassir Navab
On the Localization of Ultrasound Image Slices within Point Distribution Models. CoRR (2023)
Lennart Bastian, Alexander Baumann, Emily Hoppe, Vincent Bürgin, Ha Young Kim, Mahdi Saleh, Benjamin Busam, Nassir Navab
S3M: Scalable Statistical Shape Modeling Through Unsupervised Correspondences. MICCAI (10) (2023)
Jungeun Kim, Ha Young Kim
CSLT-AK: Convolutional-embedded transformer with an action tokenizer and keypoint emphasizer for sign language translation. Pattern Recognit. Lett. 173 (2023)
Lennart Bastian, Alexander Bauman, Emily Hoppe, Vincent Bürgin, Ha Young Kim, Mahdi Saleh, Benjamin Busam, Nassir Navab
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences. CoRR (2023)
Lennart Bastian, Vincent Bürgin, Ha Young Kim, Alexander Baumann, Benjamin Busam, Mahdi Saleh, Nassir Navab
On the Localization of Ultrasound Image Slices Within Point Distribution Models. ShapeMI@MICCAI (2023)
Jongseong Bae, Byung Do Cheon, Ha Young Kim
Pro-Attention: Efficient Probability Distribution Matching-Based Attention Through Feature Space Conversion. IEEE Access 10 (2022)
Jungeun Kim, Jeongeun Park, Ha Young Kim
ADEL: Adaptive Distribution Effective-Matching Method for Guiding Generators of GANs. ACCV (7) (2022)
Sungsoo Kim, Jeongeun Park, Donguk Yang, Dongyup Shin, Jungyeon Kim, Hyunsurk Eric Ryu, Ha Young Kim
Ultra-lightweight face activation for dynamic vision sensor with convolutional filter-level fusion using facial landmarks. Expert Syst. Appl. 205 (2022)
Jeongeun Park, Jinmo Gu, Ha Young Kim
"Do not deceive me anymore!" interpretation through model design and visualization for instagram counterfeit seller account detection. Comput. Hum. Behav. 137 (2022)
Hyun Jun Park, Youngjun Kim, Ha Young Kim
Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework. Appl. Soft Comput. 114 (2022)
Werner Henkel, Ha Young Kim, Abderraheem M. Turjman, Mathias Bode
A Simple Physical-Layer Key Generation Scheme for Power-Line Transmission. ISPLC (2021)
Byungkon Kang, Jisang Yoon, Ha Young Kim, Sung Jin Jo, Yourim Lee, Hye Jin Kam
Deep-learning-based automated terminology mapping in OMOP-CDM. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Ji Hyun Jang, Jisang Yoon, Jungeun Kim, Jinmo Gu, Ha Young Kim
DeepOption: A novel option pricing framework based on deep learning with fused distilled data from multiple parametric methods. Inf. Fusion 70 (2021)
Ha Young Kim, Dongsup Kim
Prediction of mutation effects using a deep temporal convolutional network. Bioinform. 36 (7) (2020)
Ba Rom Kang, Hyunku Lee, Keunju Park, Hyunsurk Ryu, Ha Young Kim
BshapeNet: Object detection and instance segmentation with bounding shape masks. Pattern Recognit. Lett. 131 (2020)
Si Woon Lee, Ha Young Kim
Stock market forecasting with super-high dimensional time-series data using ConvLSTM, trend sampling, and specialized data augmentation. Expert Syst. Appl. 161 (2020)
Taewook Kim, Ha Young Kim
Optimizing the Pairs-Trading Strategy Using Deep Reinforcement Learning with Trading and Stop-Loss Boundaries. Complex. 2019 (2019)
Gyeeun Jeong, Ha Young Kim
Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning. Expert Syst. Appl. 117 (2019)
Youjin Jang, Yonghan Ahn, Ha Young Kim
Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images. J. Comput. Civ. Eng. 33 (3) (2019)
Yujin Baek, Ha Young Kim
ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module. Expert Syst. Appl. 113 (2018)
Ha Young Kim, Chang Hyun Won
Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models. Expert Syst. Appl. 103 (2018)
Ha Young Kim, Ba Rom Kang
Instance Segmentation and Object Detection with Bounding Shape Masks. CoRR (2018)
Hye Jin Kam, Ha Young Kim
Learning representations for the early detection of sepsis with deep neural networks. Comput. Biol. Medicine 89 (2017)
Paul K. J. Park, Baek Hwan Cho, Jin Man Park, Kyoobin Lee, Ha Young Kim, Hyo Ah Kang, Hyun Goo Lee, Jooyeon Woo, Yohan Roh, Won Jo Lee, Chang-Woo Shin, Qiang Wang, Hyunsurk Ryu
Performance improvement of deep learning based gesture recognition using spatiotemporal demosaicing technique. ICIP (2016)