Browse "College of Engineering(공과대학)" by Type Conference
Showing results 42181 to 42240 of 90929
| Learning Image Representations by Completing Damaged Jigsaw Puzzles Kim, Dahun; Cho, Donghyeon; Yoo, Donggeun; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, pp.793 - 802, IEEE TPAMI TC, 2018-03-13 |
| 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 influence propagation of personal blogs with content and network analyses Moon, Il-Chul; Kim, Dongwoo; Jo, Yohan; Oh, Alice H., Workshop on Finding Synergies between Texts and Networks, pp.669 - 674, IEEE Conference on Social Computing, 2010-08-20 |
| Learning Influence Propagation on Personal Blogs Moon Il-Chul; Kim Dongwoo; Jo Yohan; Alice H. Oh, The 30th Annual International Sunbelt Social Network Conference, INSNA, 2010-06-29 |
| Learning Input Shaping Technique for Non-LTI Systems Pyung-Hun Chang, American Control Conference, pp.2652 - 2656, American Control Conference, 1998-06-01 |
| Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance Kim, Yoonjeon; Kim, Hyunsu; Kim, Junho; Choi, Yunjey; Yang, Eunho, The Eleventh International Conference on Learning Representations, ICLR 2023, The International Conference on Learning Representations, 2023-05-03 |
| 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 Low-Rank Representation for Matrix Completion Kwon, Minsu; Choi, Ho-Jin, 2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, pp.161 - 164, IEEE,Korean Institute of Information Scientists and Engineers (KIISE), 2020-02-21 |
| 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 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 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 Probabilistic Models for Static Analysis Alarms Kim, Hyunsu; Raghothaman, Mukund; Heo, Kihong, The 44th ACM/IEEE International Conference on Software Engineering (ICSE 2022), pp.1282 - 1293, ACM, IEEE, 2022-05 |
| Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Kim, Jinwoo; Hong, Seunghoon; Nguyen, Dat Tien; Suleymanzade, Ayhan; An, Hyeokjun, Thirty-seventh Conference on Neural Information Processing Systems, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
| Learning Remotely through Diversity and Social Awareness. The Grand Challenge approach to tackle societal issues through diversity and creative thinking Ferrarello, Laura; Fiadeiro, Rute; Hall, Ashley; Galdon, Fernando; Anderson, Paul; Grinyer, Clive; Stevens John; et al, DRS Learn X Design conference, DRS (Design Research Society), 2021-10-26 |
| Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction Chung, Chanyoung; Whang, Joyce Jiyoung, 37th AAAI Conference on Artificial Intelligence (AAAI), AAAI, 2023-02-10 |
| 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 Robotic Rotational Manipulation Skill from Bilateral Teleoperation Lee, Joong Ku; Ryu, Jee-Hwan, 19th International Conference on Ubiquitous Robots, UR 2022, pp.318 - 325, Institute of Electrical and Electronics Engineers Inc., 2022-07-04 |
| Learning Rules to Extract Protein Interactions from Biomedical Text Lee, Kwang-Hyung; Phuong, Tu Minh; Lee, Doheon, PAKDD2003, pp.148 - 158, Lecture Notes in Artificial Intelligence, 2003-04-01 |
| Learning Self-organized Topology-preserving Complex Speech Features at Primary Auditory Cortex Kim, Taesu; Lee, Soo-Young, Computational Neuroscience Annual Meeting, 2004-07 |
| Learning similarity metric for comparing RGB-D image patches by CNN Seo, Juhwan; Kwon, Dong-Soo, 14th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2017, pp.490 - 491, Institute of Electrical and Electronics Engineers Inc., 2017-07-25 |
| Learning Sleep Quality from Daily Logs Park, Sungkyu; Li, Cheng-Te; Han, Sungwon; Hsu, Cheng; Lee, Sang Won; Cha, Meeyoung, 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), pp.2421 - 2429, ASSOC COMPUTING MACHINERY, 2019-08 |
| 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 statistically efficient features for speaker recognition Jang, G.-J.; Lee, T.-W.; Oh, Yung-Hwan, 2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing, pp.437 - 440, ICASSP, 2001-05-07 |
| 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 Symmetric Rules with SATNet Lim, Sangho; Oh, Eun-Gyeol; Yang, Hongseok, The 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Neural information processing systems foundation, 2022-11-30 |
| Learning Symmetrization for Equivariance with Orbit Distance Minimization Nguyen, Dat Tien; Kim, Jinwoo; Hong, Seunghoon, Workshop on Symmetry and Geometry in Neural Representations, NeurIPS 2023, Neural Information Processing Systems Foundation, 2023-12-11 |
| Learning Task Clusters via Sparsity Grouped Multitask Learning Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurélie C, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2017, pp.673 - 689, Springer Verlag, 2017-09 |
| Learning Task Structure Via Sparsity Grouped Multitask Learning Kshirsagar, Meghana; Yang, Eunho; Lozano, Aurelie, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2017-09-19 |
| Learning techniques in service robotic environment Bien, Z. Zenn; Lee, Hyong-Euk; Lee, Sang Wan; Park, Kwang-Hyun, 7th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science, FLINS, 2006-08-29 |
| 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 the Lexicon from Raw Texts for Open-Vocabulary Korean Word Recognition Ryu, S; Kim, JinHyung, Proceeding of the 2nd KAIST-Tsinghua Joint Workshop on Pattern Recognition, v.0, no.0, pp.151 - 155, Proceeding of the 2nd KAIST-Tsinghua Joint Workshop on Pattern Recognition, 2003-10 |
| Learning the Lexicon fron Raw Texts for Open Vocabulary Korean Word Recognition Kim, JinHyung; Ryu, S, 7th International Conference on Document Analysis and Recognition, Edinburgh, Scotland, v.0, no.0, pp.0 - 0, 7th International Conference on Document Analysis and Recognition, Edinburgh, Scotland, 2003-08-01 |
| Learning the other side of the coin: the neural basis of one-shot learning Lee, Sang Wan; O'Doherty, John; Shimojo, Shinsuke, Tamagawa-Caltech Joint Lecture Course, Tamagawa global COE program, 2013-03-07 |
| Learning to Adaptive Dense Event Stereo from Image Domain Cho, Hoonhee; Cho, Jegyeong; Yoon, Kuk-Jin, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), IEEE/CVF, 2023-06-21 |
| 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 detect dynamic feature points Park, Min-Gyu; Yoon, Ju Hong; Park, Jonghee; Lee, Jeong-Kyun; Yoon, Kuk-Jin, 28th IEEE Intelligent Vehicles Symposium, IV 2017, pp.1093 - 1098, Institute of Electrical and Electronics Engineers Inc., 2017-06-11 |
| 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 Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Baek, Jinheon; Lee, Dong Bok; Hwang, Sung Ju, Thirty-fourth Conference on Neural Information Processing Systems, NeurIPS 2020, NeurIPS, 2020-12-06 |
| Learning to Generate Inversion-Resistant Model Explanations Jeong, Hoyong; Lee, Suyoung; Hwang, Sung Ju; Son, Sooel, 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), NeurIPS, 2022-11-30 |
| Learning to Generate Novel Classes for Deep Metric Learning Lee, Kyungmoon; Kim, Sungyeon; Hong, Seunghoon; Kwak, Suha, British Machine Vision Conference (BMVC), 2021, British Machine Vision Conference, 2021-11-22 |
| Learning to Generate Questions by Learning to Recover Answer-containing Sentences Back, Seohyun; Keida, Akhil; Chinthakindi, Sai Chetan; Lee, Haejun; Choo, Jaegul, The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Association for Computational Linguistics (ACL), 2021-08-02 |
| 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 Quantize Deep Networks by Optimizing Quantization Intervals with Task Loss Jung Sang Gil; Son, Cahng Tong; Lee, Seo Hyung; Son, Jin Woo; Kwak, Young Jun; Han, Jae Joon; Hwang, Sung Ju; et al, 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1 - 10, Conference on Computer Vision and Pattern Recognition(CVPR), 2019-06-16 |
| Learning to reach into the unknown: Selecting initial conditions when reaching in clutter Park, Daehyung; Kapusta, Ariel; Kim, You Keun; Rehg, James M.; Kemp, Charles C., 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014, pp.630 - 637, IEEE Robotics and Automation Society (RAS), 2014-09 |
| Learning to Recommend Visualizations from Data Qian, Xin; Rossi, Ryan A.; Du, Fan; Kim, Sungchul; Koh, Eunyee; Malik, Sana; Lee, Tak Yeon; et al, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021, pp.1359 - 1369, Association for Computing Machinery, 2021-08 |
| 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 |
| Learning to Sample with Local and Global Contexts in Experience Replay Buffers Oh, Youngmin; Lee, Kimin; Shin, Jinwoo; Yang, Eunho; Hwang, Sung Ju, The Ninth International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2021-05-04 |
| Learning to Schedule Communication in Multi-agent Reinforcement Learning Kim, Daewoo; Moon, Sangwoo; Hostallero, David; Kang, Wan Ju; Lee, Taeyoung; Son, Kyunghwan; Yi, Yung, ICLR 2019: International Conference on Representation Learning, International Conference on Representation Learning, 2019-05 |
| Learning to Score Economic Development from Satellite Imagery Han, Sungwon; Ahn, Donghyun; Park, Sungwon; Yang, Jeasurk; Lee, Susang; Kim, Jihee; Yang, Hyunjoo; et al, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.2970 - 2979, Association for Computing Machinery, 2020-08-23 |
| Learning to Specialize with Knowledge Distillation for Visual Question Answering Mun, Jonghwan; Lee, Kimin; Shin, Jinwoo; Han, Bohyung, 32nd Conference on Neural Information Processing Systems (NIPS), NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 2018-12-04 |
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