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2020 – today
- 2024
[j19]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): 3841-3855 (2024)- [j18]Jeongeun Park, Kisu Lee, Ha Young Kim:
Integrated Recognition Assistant Framework Based on Deep Learning for Autonomous Driving: Human-Like Restoring Damaged Road Sign Information. Int. J. Hum. Comput. Interact. 40(15): 3982-4002 (2024) - [j17]Jeongeun Park, Hyunmin Kang, Ha Young Kim:
Human, Do You Think This Painting is the Work of a Real Artist? Int. J. Hum. Comput. Interact. 40(18): 5174-5191 (2024) - [c8]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: 504:1-504:21 - [c7]Jungeun Kim, Junwon You, Dongjin Lee, Ha Young Kim, Jae-Hun Jung:
Do Topological Characteristics Help in Knowledge Distillation? ICML 2024 - [i11]Ha Young Kim, Niranjan Balasubramanian, Byungkon Kang:
On Initializing Transformers with Pre-trained Embeddings. CoRR abs/2407.12514 (2024) - [i10]Junwoo Ha, Hyukjae Kwon, Sungsoo Kim, Kisu Lee, Ha Young Kim:
TiVaT: Joint-Axis Attention for Time Series Forecasting with Lead-Lag Dynamics. CoRR abs/2410.01531 (2024) - [i9]Jongseong Bae, Junwoo Ha, Ha Young Kim:
Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion. CoRR abs/2411.16129 (2024) - [i8]Jungeun Kim, Hyeongwoo Jeon, Jongseong Bae, Ha Young Kim:
Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation. CoRR abs/2411.16789 (2024) - [i7]JiHwan Moon, Jihoon Park, Jungeun Kim, Jongseong Bae, Hyeongwoo Jeon, Ha Young Kim:
DiffSLT: Enhancing Diversity in Sign Language Translation via Diffusion Model. CoRR abs/2411.17248 (2024) - [i6]Jongseong Bae, Susang Kim, Minsu Cho, Ha Young Kim:
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers. CoRR abs/2411.18995 (2024) - 2023
- [j16]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: 115-122 (2023) - [c6]Sangrok Lee, Jongseong Bae, Ha Young Kim:
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization. CVPR 2023: 11776-11785 - [c5]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: 133-144 - [c4]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: 459-469 - [i5]Sangrok Lee, Jongseong Bae, Ha Young Kim:
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization. CoRR abs/2303.02328 (2023) - [i4]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. CoRR abs/2304.07515 (2023) - [i3]Sangrok Lee, Ha Young Kim:
ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting. CoRR abs/2307.01227 (2023) - [i2]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 abs/2309.00372 (2023) - 2022
- [j15]Jongseong Bae, Byung Do Cheon, Ha Young Kim:
Pro-Attention: Efficient Probability Distribution Matching-Based Attention Through Feature Space Conversion. IEEE Access 10: 131192-131201 (2022) - [j14]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: 108106 (2022) - [j13]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: 107418 (2022) - [j12]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: 117792 (2022) - [c3]Jungeun Kim, Jeongeun Park, Ha Young Kim:
ADEL: Adaptive Distribution Effective-Matching Method for Guiding Generators of GANs. ACCV (7) 2022: 37-53 - 2021
- [j11]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: 43-59 (2021) - [j10]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): 1489-1496 (2021) - [c2]Werner Henkel, Ha Young Kim, Abderraheem M. Turjman, Mathias Bode:
A Simple Physical-Layer Key Generation Scheme for Power-Line Transmission. ISPLC 2021: 13-18 - 2020
- [j9]Ha Young Kim, Dongsup Kim:
Prediction of mutation effects using a deep temporal convolutional network. Bioinform. 36(7): 2047-2052 (2020) - [j8]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: 113704 (2020) - [j7]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: 449-455 (2020)
2010 – 2019
- 2019
- [j6]Taewook Kim, Ha Young Kim:
Optimizing the Pairs-Trading Strategy Using Deep Reinforcement Learning with Trading and Stop-Loss Boundaries. Complex. 2019: 3582516:1-3582516:20 (2019) - [j5]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: 125-138 (2019) - [j4]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) - 2018
- [j3]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: 25-37 (2018) - [j2]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: 457-480 (2018) - [i1]Ha Young Kim, Ba Rom Kang:
Instance Segmentation and Object Detection with Bounding Shape Masks. CoRR abs/1810.10327 (2018) - 2017
- [j1]Hye Jin Kam, Ha Young Kim:
Learning representations for the early detection of sepsis with deep neural networks. Comput. Biol. Medicine 89: 248-255 (2017) - 2016
- [c1]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: 1624-1628
Coauthor Index
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