Eun Som Jeon

According to our database, Eun Som Jeon authored at least 23 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Improved Knowledge Distillation Based on Global Latent Workspace With Multimodal Knowledge Fusion for Understanding Topological Guidance on Wearable Sensor Data.

Jinyung Hong, Eun Som Jeon, Matthew P. Buman, Pavan Turaga, Theodore P. Pavlic

IEEE Trans. Neural Networks Learn. Syst., June, 2026

Selective Correlation Based Knowledge Distillation for Ground Reaction Force Estimation.

Eun Som Jeon, Jisoo Lee, Huisu Lim, Omik M. Save, Hyunglae Lee, Pavan Turaga

CoRR, May, 2026

Topological feature guided knowledge distillation for improved wearable sensor data analysis.

Jun Soo Kim, Jae Chan Jeong, Matthew P. Buman, Pavan Turaga, Eun Som Jeon

Neurocomputing, 2026

2025

DCR-KD: Dynamic Class Relation Knowledge Distillation for Semantic Segmentation With the Frontal-Viewing Camera of Limited Field of View in an Internet of Things Environment.

Seong In Jeong, Min Su Jeong, Eun Som Jeon, Kang Ryoung Park

IEEE Internet Things J., September, 2025

Ground Reaction Force Estimation via Time-Aware Knowledge Distillation.

Eun Som Jeon, Sinjini Mitra, Jisoo Lee, Omik M. Save, Ankita Shukla, Hyunglae Lee, Pavan K. Turaga

IEEE Internet Things J., August, 2025

Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data.

Eun Som Jeon, Hongjun Choi, Matthew P. Buman, Pavan K. Turaga

CoRR, February, 2025

Intra-class patch swap for self-distillation.

Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga

Neurocomputing, 2025

Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation.

Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations.

Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic

Proceedings of UniReps: the Second Edition of the Workshop on Unifying Representations in Neural Models, 2025

2024

Robustness of topological persistence in knowledge distillation for wearable sensor data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Hyunglae Lee, Pavan K. Turaga

EPJ Data Sci., December, 2024

Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data.

Eun Som Jeon, Matthew P. Buman, Pavan K. Turaga

IEEE Internet Things J., September, 2024

Topological persistence guided knowledge distillation for wearable sensor data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga

Eng. Appl. Artif. Intell., 2024

Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks.

Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic

CoRR, 2024

Leveraging Topological Guidance for Improved Knowledge Distillation.

Eun Som Jeon, Rahul Khurana, Aishani Pathak, Pavan Turaga

Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM) at ICML 2024, 2024

2023

Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga

IEEE Trans. Instrum. Meas., 2023

Leveraging angular distributions for improved knowledge distillation.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga

Neurocomputing, 2023

Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study.

Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks.

Eun Som Jeon, Suhas Lohit, Rushil Anirudh, Pavan K. Turaga

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data.

Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga

IEEE Internet Things J., 2022

Topological Knowledge Distillation for Wearable Sensor Data.

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2016

Human Detection Based on the Generation of a Background Image and Fuzzy System by Using a Thermal Camera.

Eun Som Jeon, Jong Hyun Kim, Hyung Gil Hong, Ganbayar Batchuluun, Kang Ryoung Park

Sensors, 2016

2015

Robust Pedestrian Detection by Combining Visible and Thermal Infrared Cameras.

Ji Hoon Lee, Jong-Suk Choi, Eun Som Jeon, Yeong Gon Kim, Toan Thanh Le, Kwang Yong Shin, Hyeon Chang Lee, Kang Ryoung Park

Sensors, 2015

Human Detection Based on the Generation of a Background Image by Using a Far-Infrared Light Camera.

Eun Som Jeon, Jong-Suk Choi, Ji Hoon Lee, Kwang Yong Shin, Yeong Gon Kim, Toan Thanh Le, Kang Ryoung Park

Sensors, 2015