One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam, M Zhang, JU Kim, ... arXiv preprint arXiv:2304.06488, 2023 | 173 | 2023 |
Line: Out-of-distribution detection by leveraging important neurons YH Ahn, GM Park, ST Kim 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023 | 38 | 2023 |
Deep ART neural model for biologically inspired episodic memory and its application to task performance of robots GM Park, YH Yoo, DH Kim, JH Kim IEEE transactions on cybernetics 48 (6), 1786-1799, 2017 | 32 | 2017 |
Task intelligence of robots: Neural model-based mechanism of thought and online motion planning IB Jeong, WR Ko, GM Park, DH Kim, YH Yoo, JH Kim IEEE Transactions on Emerging Topics in Computational Intelligence 1 (1), 41-50, 2016 | 32 | 2016 |
Convolutional neural network with developmental memory for continual learning GM Park, SM Yoo, JH Kim IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2691-2705, 2020 | 27 | 2020 |
Online class incremental learning on stochastic blurry task boundary via mask and visual prompt tuning JY Moon, KH Park, JU Kim, GM Park Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 26 | 2023 |
Deep adaptive resonance theory for learning biologically inspired episodic memory GM Park, JH Kim 2016 international joint conference on neural networks (IJCNN), 5174-5180, 2016 | 19 | 2016 |
Lfs-gan: Lifelong few-shot image generation J Seo, JS Kang, GM Park Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 17 | 2023 |
Realization of task intelligence for service robots in an unstructured environment DH Kim, GM Park, YH Yoo, SJ Ryu, IB Jeong, JH Kim Annual Reviews in Control 44, 9-18, 2017 | 15 | 2017 |
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners KH Park, K Song, GM Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
REM-ART: Reward-based electromagnetic adaptive resonance theory GM Park, YH Yoo, JH Kim 2015 International Conference on Artificial Intelligence, ICAI 2015 …, 2019 | 14 | 2019 |
Developmental resonance network GM Park, JW Choi, JH Kim IEEE transactions on neural networks and learning systems 30 (4), 1278-1284, 2018 | 14 | 2018 |
Time series anomaly detection using transformer-based gan with two-step masking AH Shin, ST Kim, GM Park IEEE Access 11, 74035-74047, 2023 | 12 | 2023 |
Interestyle: Encoding an interest region for robust stylegan inversion SJ Moon, GM Park European Conference on Computer Vision, 460-476, 2022 | 9 | 2022 |
Open-Set Domain Adaptation for Semantic Segmentation SA Choe, AH Shin, KH Park, J Choi, GM Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
WaGI: wavelet-based GAN inversion for preserving high-frequency image details SJ Moon, C Kim, GM Park arXiv preprint arXiv:2210.09655, 2022 | 6 | 2022 |
Generative Unlearning for Any Identity J Seo, SH Lee, TY Lee, S Moon, GM Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
In So Kweon, and Choong Seon Hong. 2023. One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam, M Zhang, JU Kim, ... arXiv preprint arXiv:2304.06488, 2023 | 5 | 2023 |
Continual unsupervised domain adaptation with adversarial learning J Kim, SM Yoo, GM Park, JH Kim arXiv preprint arXiv:2010.09236 10, 2020 | 4 | 2020 |
SR-EM: episodic memory aware of semantic relations based on hierarchical clustering resonance network JW Choi, GM Park, JH Kim IEEE Transactions on Cybernetics 52 (10), 10339-10351, 2021 | 3 | 2021 |