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Ji Joong Moon
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2020 – today
- 2024
- [c8]Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. ICASSP 2024: 2795-2799 - [c7]Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay:
Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. ICASSP 2024: 5305-5309 - [c6]Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. ICASSP 2024: 7885-7889 - [c5]Jijoong Moon, Hyeonseok Lee, Jiho Chu, Donghak Park, Seungbaek Hong, Hyungjun Seo, Donghyeon Jeong, Sungsik Kong, MyungJoo Ham:
A New Frontier of AI: On-Device AI Training and Personalization. ICSE-SEIP 2024: 323-333 - [i11]Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay:
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains. CoRR abs/2402.18614 (2024) - [i10]Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. CoRR abs/2403.14335 (2024) - [i9]Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay:
Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. CoRR abs/2404.01397 (2024) - [i8]Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay:
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. CoRR abs/2407.01193 (2024) - [i7]Elena Camuffo, Umberto Michieli, Simone Milani, Jijoong Moon, Mete Ozay:
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. CoRR abs/2407.06450 (2024) - [i6]Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay:
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. CoRR abs/2407.07541 (2024) - 2022
- [i5]Ji Joong Moon, Parichay Kapoor, Ji-Hoon Lee, MyungJoo Ham, Hyun Suk Lee:
NNTrainer: Light-Weight On-Device Training Framework. CoRR abs/2206.04688 (2022) - 2021
- [c4]Geunsik Lim, MyungJoo Ham, Ji Joong Moon, Wook Song:
LightSys: Lightweight and Efficient CI System for Improving Integration Speed of Software. ICSE (SEIP) 2021: 1-10 - [c3]MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee:
NNStreamer: Efficient and Agile Development of On-Device AI Systems. ICSE (SEIP) 2021: 198-207 - [i4]MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Jaeyun Jung, Hyoungjoo Ahn, Wook Song, Sangjung Woo, Parichay Kapoor, Dongju Chae, Gichan Jang, Yongjoo Ahn, Jihoon Lee:
NNStreamer: Efficient and Agile Development of On-Device AI Systems. CoRR abs/2101.06371 (2021) - [i3]Geunsik Lim, MyungJoo Ham, Ji Joong Moon, Wook Song:
LightSys: Lightweight and Efficient CI System for Improving Integration Speed of Software. CoRR abs/2101.07961 (2021) - [i2]Geunsik Lim, MyungJoo Ham, Ji Joong Moon, Wook Song, Sangjung Woo, Sewon Oh:
TAOS-CI: Lightweight & Modular Continuous Integration System for Edge Computing. CoRR abs/2101.08889 (2021)
2010 – 2019
- 2019
- [c2]Geunsik Lim, MyungJoo Ham, Ji Joong Moon, Wook Song, Sangjung Woo, Sewon Oh:
TAOS-CI: Lightweight & Modular Continuous Integration System for Edge Computing. ICCE 2019: 1-5 - [i1]MyungJoo Ham, Ji Joong Moon, Geunsik Lim, Wook Song, Jaeyun Jung, Hyoungjoo Ahn, Sangjung Woo, Youngchul Cho, JinHyuck Park, Sewon Oh, Hong-Seok Kim:
NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications. CoRR abs/1901.04985 (2019)
2000 – 2009
- 2004
- [c1]Jin Woo Park, Si Hyoung Park, In Seong Hwang, Ji Joong Moon, Youngha Yoon, Seung Jo Kim:
Optimal Blade System Design of a New Concept VTOL Vehicle Using the Departmental Computing Grid System. SC 2004: 36
Coauthor Index
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last updated on 2024-08-18 00:35 CEST by the dblp team
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