Showing results 120601 to 120620 of 279131
Learning monocular depth estimation via selective knowledge distillation of stereo depth estimation = 스트레오 깊이 추정의 선택적 지식 증류를 통한 단안 깊이 추정 학습link Song, Kyeongseob; Yoon, Kuk-Jin; et al, 한국과학기술원, 2021 |
Learning Monocular Depth Estimation via Selective Knowledge Distillation of Stereo Depth Estimation 송경섭; 윤국진, 제33회 영상 처리 및 이해에 관한 워크샵(IPIU), 한국방송·미디어공학회, 2021-02-03 |
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Lee, Seokju; Im, Sunghoon; Lin, Stephen; Kweon, In So, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.1863 - 1872, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02 |
Learning multi-market microstructure from order book data Ju, Geonhwan; Kim, Kyoung-Kuk; Lim, Dong Young, QUANTITATIVE FINANCE, v.19, no.9, pp.1517 - 1529, 2019-09 |
Learning multiple roles of heterogeneous multi-agent system with centralized team training = 중앙집중식 팀 학습을 통한 이기종 멀티에이전트 시스템의 다중 역할 학습link Choi, Kyujin; Har, Dongsoo; et al, 한국과학기술원, 2021 |
Learning multivariate Hawkes process via graph neural network = 그래프 신경망을 이용한 다변량 호크 과정 학습link Yoon, Kanghoon; Park, Jinkyoo; et al, 한국과학기술원, 2021 |
Learning Not to Learn: Training Deep Neural Networks with Biased Data Kim, Byungju; Kim, Hyunwoo; Kim, Kyungsu; Kim, Sungjin; Kim, Junmo, CVPR 2019 IEEE Conference on Computer Vision and Pattern Recognition , pp.9004 - 9012, IEEE Computer Society, the Computer Vision Foundation (CVF), 2019-06-20 |
Learning of Counting Crowded Birds of Various Scales via Novel Density Activation Maps![]() Kim, Saehun; Kim, Munchurl, IEEE ACCESS, v.8, pp.155296 - 155305, 2020-08 |
Learning on the Web through Virtual Reality: Developing an Educational Game 김형관, '98 Korean Society for Mathematical Education Spring Conf. Proc., 1999 |
Learning one-to-many mapping functions for audio-visual integrated perception Lim, J.H.; Oh, D.K.; Lee, Soo-Young, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, 2010-04-07 |
Learning One-to-Many Mapping With Locally Linear Maps Based on Manifold Structure Oh, Do-Kwan; Oh, Sang-Hoon; Lee, Soo-Young, IEEE SIGNAL PROCESSING LETTERS, v.18, no.9, 2011-09 |
Learning one-to-many mapping with locally linear maps based on manifold structure = 다양체 구조에 기반한 국부적 선형 함수들을 이용한 일대다대응 함수의 학습link Oh, Do-Kwan; 오도관; et al, 한국과학기술원, 2011 |
Learning Open-World Object Proposals Without Learning to Classify Kim, Dahun; Lin, Tsung-Yi; Angelova, Anelia; Kweon, In So; Kuo, Weicheng, IEEE ROBOTICS AND AUTOMATION LETTERS, v.7, no.2, pp.5453 - 5460, 2022-04 |
Learning optimal compact codebook for efficient object categorization Li, T.; Mei, T.; Kweon, In-So, 2008 IEEE Workshop on Applications of Computer Vision, WACV, pp.229, WACV '08, 2008-01-07 |
Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App Ko, Ga Young; Shin, Donghyuk; Auh, Seigyoung; Lee, Yeonjung; Han, Sang Pil, Management Science, v.69, no.6, pp.3616 - 3649, 2023-06 |
Learning per-machine linear dispatching rule for heterogeneous multi-machines control Kim, Namyong; Barde, Stephane; Bae, Kiwook; Shin, Hayong, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.61, no.1, pp.161 - 181, 2023-01 |
Learning Place Ambience from Images Using Deep ConvNet Yoon, Sanghoon; Kim, Taehun; Lee, Dongman; Hyun, Soon-Joo, 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017, pp.904 - 909, Institute of Electrical and Electronics Engineers Inc., 2017-12 |
Learning Point Cloud Completion without Complete Point Clouds: A Pose-aware Approach Kim, Jihun; Yoon, Kuk-Jin; Kweon, Hyeokjun; Yang, Yunseo, International Conference on Computer Vision (ICCV) 2023, International Conference on Computer Vision (ICCV) 2023, 2023-10-04 |
Learning Policy from Suboptimal Demonstrations under Transition Dynamic Mismatch Kim, Taesu; Wang, Jianhong; Antotsiou, Dafni; Kim, Tae-Kyun, Thirty-ninth International Conference on Machine Learning, Workshop on Adaptive Experimental Design and Active Learning, ICML, 2022-07-22 |
Learning Polymorphic Neural ODEs with Time-evolving Mixture Yoon, Tehrim; Shin, Sumin; Yang, Eunho, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.1, pp.712 - 721, 2023-01 |
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