Jungsoo Lee

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 38

Top Topics

Image Classification

Entropy Minimization

Image Generation

Event Recognition

Top Venues

Publications

Joonhyun Kim, Jungsoo Lee, Wansoo Kim
An Intuitive Framework to Minimize Cognitive Load in Robotic Control: A Comparative Evaluation of Body Parts. UR (2024)
Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization. CVPR (2023)
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi
Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. ECML/PKDD (5) (2023)
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo
Revisiting the Importance of Amplifying Bias for Debiasing. AAAI (2023)
Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization. CoRR (2023)
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. ICCV (2023)
Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. ICCV (2023)
Sunghyun Park, Sunghyo Chung, Jungsoo Lee, Jaegul Choo
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution. CoRR (2023)
Sung-Won Moon, Do-Won Nam, Jiwon Lee, Wonyoung Yoo, Jungsoo Lee
A Study on Few-shot Object Detection for Warships Based on Data Generation Using Image Outpainting. ICTC (2023)
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density. CoRR (2023)
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. CoRR (2023)
Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation. CoRR (2022)
Sung-Won Moon, Jiwon Lee, Jungsoo Lee, Do-Won Nam, Wonyoung Yoo
A Study on NeRF-based Synthetic Image Generation and Post-processing Method for Object Detection. ICTC (2022)
Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation. EuroVis (Short Papers) (2022)
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing. CoRR (2022)
Jungsoo Lee, Juyoung Lee, Sanghun Jung, Jaegul Choo
DebiasBench: Benchmark for Fair Comparison of Debiasing in Image Classification. CoRR (2022)
Sanghun Jung, Jungsoo Lee, Nanhee Kim, Jaegul Choo
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. CoRR (2022)
Duhyeuk Chang, Jungsoo Lee, Byunghyun Jeong, Junyoung Heo
Band selection techniques using discrete ranges and maxpooling operations for hyperspectral image pixel classification. SAC (2022)
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. ICCV (2021)
Chaeyeon Chung, Jungsoo Lee, Kyungmin Park, Junsoo Lee, Minjae Kim, Mookyung Song, Yeonwoo Kim, Jaegul Choo, Sungsoo Ray Hong
Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling. Proc. ACM Hum. Comput. Interact. 5 (CSCW2) (2021)
Eungyeup Kim, Jungsoo Lee, Juyoung Lee, Jihyeon Lee, Jaegul Choo
Learning Debiased Representation via Disentangled Feature Augmentation. CoRR (2021)
Sung-Won Moon, Ji Won Lee, Jungsoo Lee, Ah Reum Oh, Do-Won Nam, Won-Young Yoo
A Study on the Improvement of Fine-grained Ship Classification through Data Augmentation Using Generative Adversarial Networks. ICTC (2021)
Gihyoun Lee, Ji-Su Park, Jungsoo Lee, Jinuk Kim, Young-Jin Jung, Yun-Hee Kim
OptoNet II: An Advanced MATLAB-Based Toolbox for Functional Cortical Connectivity Analysis With Surrogate Tests Using fNIRS. IEEE Access 9 (2021)
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR (2021)
Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. CoRR (2021)
Ah Reum Oh, Ji Won Lee, Sung-Won Moon, Jungsoo Lee, Do-Won Nam, Won-Young Yoo
On Constructing Vessel Dataset Structure Using GAN-based Data Augmentation. ICTC (2021)
Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. BMVC (2021)
Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, Jaegul Choo
Learning Debiased Representation via Disentangled Feature Augmentation. NeurIPS (2021)
Jungsoo Lee, Sung-Won Moon, Do-Won Nam, Jiwom Lee, Ah Reum Oh, Wonyoung Yoo
A Study on American Football Player Tracking Based on Video Through Deep Learning and GPS Convergence. ICTC (2021)
Ji Won Lee, Sung-Won Moon, Do-Won Nam, Jungsoo Lee, Ah Reum Oh, Won-Young Yoo
A study on the application of knowledge distillation in ship type classification model development. ICTC (2021)
Ji Won Lee, Sung-Won Moon, Do-Won Nam, Jungsoo Lee, Ah Reum Oh, Won-Young Yoo
A Study on the Identification of Warship Type/Class by Measuring Similarity with Virtual Warship. ICTC (2020)
Ji Won Lee, Do-Won Nam, Jungsoo Lee, Sung-Won Moon, Arum Oh, Wonyoung Yoo
A Study on the Composition of Image-Based Ship-type/class Identification System. ICACT (2020)
Ah Reum Oh, Ji Won Lee, Jungsoo Lee, Sung-Won Moon, Do-Won Nam, Won-Young Yoo
Multi-object tracking system using dissimilar apparatus in video sequence. ICTC (2020)
Jungsoo Lee, Sung-Won Moon, Do-Won Nam, Ji Won Lee, Ah Reum Oh, Won-Young Yoo
A Study on Sports Player Tracking based on Video using Deep Learning. ICTC (2020)
Sung-Won Moon, Ji Won Lee, Jungsoo Lee, Do-Won Nam, Won-Young Yoo
A Comparative Study on the Maritime Object Detection Performance of Deep Learning Models. ICTC (2020)
Jungsoo Lee, Ji Won Lee, Sung-Won Moon, Do-Won Nam, Wonyoung Yoo
Basketball event recognition technique using Deterministic Finite Automata(DFA). ICACT (2018)
Ji Won Lee, Yoonhyung Kim, Minki Jeong, Changick Kim, Do-Won Nam, Jungsoo Lee, Sung-Won Moon, Wonyoung Yoo
3D convolutional neural networks for soccer object motion recognition. ICACT (2018)
Ji Won Lee, Do-Won Nam, Sung-Won Moon, Jungsoo Lee, Won-Young Yoo
Soccer Event Recognition Technique based on Pattern Matching. FedCSIS (2017)
Woohun Lee, Narae Lee, Juwhan Kim, Myeongsoo Shin, Jungsoo Lee
'MoleBot': An Organic User-Interface-Based Robot That Provides Users with Richer Kinetic Interactions. Interact. Comput. 25 (2) (2013)
Jungsoo Lee, Dae-Shik Kim
Divide et impera: Acceleration of DTI tractography using multi-GPU parallel processing. Int. J. Imaging Syst. Technol. 23 (3) (2013)
Narae Lee, Juwhan Kim, Jungsoo Lee, Myeongsoo Shin, Woohun Lee
MoleBot: a robotic creature based on physical transformability. VRIC (2012)
Narae Lee, Juwhan Kim, Jungsoo Lee, Myeongsoo Shin, Woohun Lee
MoleBot: mole in a table. SIGGRAPH Emerging Technologies (2011)
Jungsoo Lee, Yoonjong Yoo, Jeongho Shin, Joon Ki Paik
Hierarchical Blur Identification from Severely Out-of-Focus Images. PSIVT (2006)
Jeongho Shin, Vivek Maik, Jungsoo Lee, Joon Ki Paik
Multi-object Digital Auto-focusing Using Image Fusion. ACIVS (2005)