| Human detection based on the generation of a background image by using a far-infrared light camera ES Jeon, JS Choi, JH Lee, KY Shin, YG Kim, TT Le, KR Park Sensors 15 (3), 6763-6788, 2015 | 75 | 2015 |
| Robust pedestrian detection by combining visible and thermal infrared cameras JH Lee, JS Choi, ES Jeon, YG Kim, T Thanh Le, KY Shin, HC Lee, ... Sensors 15 (5), 10580-10615, 2015 | 61 | 2015 |
| Human detection based on the generation of a background image and fuzzy system by using a thermal camera ES Jeon, JH Kim, HG Hong, G Batchuluun, KR Park Sensors 16 (4), 453, 2016 | 30 | 2016 |
| Role of data augmentation strategies in knowledge distillation for wearable sensor data ES Jeon, A Som, A Shukla, K Hasanaj, MP Buman, P Turaga IEEE internet of things journal 9 (14), 12848-12860, 2021 | 15 | 2021 |
| Understanding the role of mixup in knowledge distillation: An empirical study H Choi, ES Jeon, A Shukla, P Turaga Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 9 | 2023 |
| Leveraging angular distributions for improved knowledge distillation ES Jeon, H Choi, A Shukla, P Turaga Neurocomputing 518, 466-481, 2023 | 7 | 2023 |
| Topological knowledge distillation for wearable sensor data ES Jeon, H Choi, A Shukla, Y Wang, MP Buman, P Turaga 2022 56th Asilomar Conference on Signals, Systems, and Computers, 837-842, 2022 | 5 | 2022 |
| Topological persistence guided knowledge distillation for wearable sensor data ES Jeon, H Choi, A Shukla, Y Wang, H Lee, MP Buman, P Turaga Engineering Applications of Artificial Intelligence 130, 107719, 2024 | 3 | 2024 |
| Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data ES Jeon, H Choi, A Shukla, Y Wang, MP Buman, P Turaga IEEE Transactions on Instrumentation and Measurement, 2023 | 1 | 2023 |
| Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks ES Jeon, S Lohit, R Anirudh, P Turaga ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation U Nath, R Goel, ES Jeon, C Kim, K Min, Y Yang, Y Yang, P Turaga arXiv preprint arXiv:2408.05938, 2024 | | 2024 |
| Leveraging Topological Guidance for Improved Knowledge Distillation ES Jeon, R Khurana, A Pathak, P Turaga arXiv preprint arXiv:2407.05316, 2024 | | 2024 |
| Uncertainty-Aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data ES Jeon, MP Buman, P Turaga IEEE Internet of Things Journal, 2024 | | 2024 |
| Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, P Turaga, TP Pavlic arXiv preprint arXiv:2403.14140, 2024 | | 2024 |
| Knowledge Distillation with Geometric Approaches for Multimodal Data Analysis ES Jeon Arizona State University, 2023 | | 2023 |
| A Cognitive Framework for Learning Debiased and Interpretable Representations via Debiasing Global Workspace J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, PK Turaga, TP Pavlic UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 0 | | |
| Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations J Hong, ES Jeon, C Kim, KH Park, U Nath, Y Yang, PK Turaga, TP Pavlic NeurIPS 2024 Workshop on Behavioral Machine Learning, 0 | | |
| Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study (Supplementary Material) H Choi, ES Jeon, A Shukla, P Turaga | | |
| Physics-based 3D Face Reconstruction E Jeon, H Millman, M Kapron | | |
| CLASSIFICATION OF MOVING VEHICLES BASED ON CONVOLUTIONAL NEURAL NETWORK H Park, ES Jeon, M Lim, D Lee, U Park, J Kim | | |
