Browse "School of Electrical Engineering(전기및전자공학부)" by Type Conference
Showing results 11541 to 11560 of 22817
| Learning Imbalanced Datasets With Maximum Margin Loss Kang, Haeyong; Vu, Thang; Yoo, Chang-Dong, 2021 IEEE International Conference on Image Processing, ICIP 2021, pp.1269 - 1273, IEEE, 2021-09-19 |
| Learning loss for active learning Yoo, Donggeun; Kweon, In-So, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.93 - 102, IEEE Conference on Computer Vision and Pattern Recognition, 2019-06-17 |
| 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 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 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 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 Residual Flow as Dynamic Motion from Stereo Videos Lee, Seokju; Im, Sunghoon; Lin, Stephen; Kweon, In-So, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, pp.1180 - 1186, Institute of Electrical and Electronics Engineers Inc., 2019-11 |
| Learning Self-organized Topology-preserving Complex Speech Features at Primary Auditory Cortex Kim, Taesu; Lee, Soo-Young, Computational Neuroscience Annual Meeting, 2004-07 |
| LEARNING SOUND LOCALIZATION BETTER FROM SEMANTICALLY SIMILAR SAMPLES Senocak, Arda; Ryu, Hyeonggon; Kim, Junsik; Kweon, In-So, 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, pp.4863 - 4867, Institute of Electrical and Electronics Engineers Inc., 2022-05 |
| Learning Spatio-temporal Features with Partial Expression Sequences for on-the-Fly Prediction Baddar, Wissam J; Ro, Yong Man, 32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.6666 - 6673, Association for the Advancement of Artificial Intelligence (AAAI), 2018-02-07 |
| Learning Spatio-temporally Invariant Representations from Video Lim, Jae Hyun; Choi, Hansol; Park, Jun-Cheol; Jun, Jae Young; Kim Dae-Shik, IEEE World Congress on Computational Intelligence, pp.1 - 6, IEEE World Congress on Computational Intelligence, 2012-06-10 |
| Learning Style Correlation For Elaborate Few-Shot Classification Kim, Junho; Kim, Minsu; Kim, Jung Uk; Lee, Hong Joo; Lee, Sangmin; Hong, Joanna; Ro, Yong Man, IEEE International Conference on Image Processing (ICIP) 2020, pp.1791 - 1795, IEEE Signal Processing Society, 2020-10-25 |
| Learning Super-scale Microbump Pin Assignment Optimization for Real-world PCB Design with Graph Representation Park, Joonsang; Kim, Joungho; Choi, Seonguk; Kim, Haeyeon; Park, Hyunwook; Kim, SeongGuk; Shin, TaeIn, DesignCon 2022, IEEE, 2022-04-05 |
| Learning the Dynamical System Behind Sensory Data (only abstract) Lee, Jaehyung; Lee, Soo-Young, East-Asia Inter-University Workshop on Brain Engineering (EAW2010), 2010-03 |
| Learning to Associate Every Segment for Video Panoptic Segmentation Woo, Sanghyun; Kim, Dahun; Lee, Joon-Young; Kweon, In-So, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.2704 - 2713, IEEE, 2021-06 |
| Learning to Discriminate Information for Online Action Detection Eun, Hyunjun; Moon, JiYoung; Park, JongYoul; Jung, ChanHo; Kim, Changick, IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, pp.806 - 815, IEEE Conference on Computer Vision and Pattern Recognition, 2020-06-16 |
| Learning to Drive at Unsignalized Intersections using Attention-based Deep Reinforcement Learning Seong, Hyunki; Jung, Chanyoung; Lee, Seungwook; Shim, David Hyunchul, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), pp.559 - 566, IEEE, 2021-09-19 |
| Learning to Localize Sound Source in Visual Scenes SENOCAK, Arda; Oh, Tae-Hyun; Kim, Junsik; Yang, Ming-Hsuan; Kweon, In-So, 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.4358 - 4366, IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
| Learning to Reproduce Fluctuating Behavioral Sequences Using a Dynamic Neural Network Model with Time-Varying Variance Estimation Mechanism Tani, Jun; Murata, Shingo; Namikawa, J; Arie, H; Sugano, H, The Third Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, pp.1 - 6, IEEE, 2013-08-22 |
| Learning to reproduce stochastic time series using stochastic LSTM Gulshad, Sadaf; Sigmund, Dick; Kim, Jong-Hwan, Neural Networks (IJCNN), 2017 International Joint Conference on, IEEE, 2017-05-14 |
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