Browse "EE-Conference Papers(학술회의논문)" by Author Oh, Tae-Hyun
Showing results 1 to 22 of 22
| A Multi-View Structured-Light System for Highly Accurate 3D Modeling Ha, Hyowon; Kweon, In-So; Oh, Tae-Hyun, International Conference on 3D Vision, 3DV, 2015-10-20 |
| A Pseudo-Bayesian algorithm for Robust PCA Oh, Tae-Hyun; Matsushita, Yasuyuki; Kweon, In So; Wipf, David, 30th Annual Conference on Neural Information Processing Systems, NIPS 2016, pp.1398 - 1406, Neural Information Processing Systems Foundation, 2016-12 |
| Co-Domain Embedding Using Deep Quadruplet Networks for Unseen Traffic Sign Recognition Kim, Junsik; Lee, Seokju; Oh, Tae-Hyun; Kweon, In-So, 32nd AAAI Conference on Artificial Intelligence / 30th Innovative Applications of Artificial Intelligence Conference / 8th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.6975 - 6982, Association for the Advancement of Artificial Intelligence (AAAI), 2018-02 |
| Contextually Customized Video Summaries via Natural Language Choi, Jinsoo; Oh, Tae-Hyun; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, pp.1718 - 1726, IEEE TPAMI TC, 2018-03-14 |
| Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning Kim, Dong-Jin; Choi, Jinsoo; Oh, Tae-Hyun; Kweon, In-So, IEEE Conference on Computer Vision and Pattern Recognition, pp.6264 - 6273, IEEE Conference on Computer Vision and Pattern Recognition, 2019-06-19 |
| Disjoint Multi-task Learning between Heterogeneous Human-centric Tasks KIM, DONG-JIN; Choi, Jinsoo; Oh, Tae-Hyun; Yoon, Youngjin; Kweon, In-So, IEEE Winter Conference on Applications of Computer Vision, pp.1699 - 1708, IEEE TPAMI TC, 2018-03-14 |
| Event-Specific Audio-Visual Fusion Layers: A Simple and New Perspective on Video Understanding Senocak, Arda; Kim, Junsik; Oh, Tae-Hyun; Li, Dingzeyu; Kweon, In-So, 23rd IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2023, pp.2236 - 2246, Institute of Electrical and Electronics Engineers Inc., 2023-01 |
| Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation Joo, Kyungdon; Oh, Tae-Hyun; Kweon, In-So; Bazin, Jean-Charles, 31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.5726 - 5734, IEEE Computer Society and the Computer Vision Foundation (CVF), 2018-06-20 |
| Globally Optimal Manhattan Frame Estimation in Real-Time Joo, Kyungdon; Oh, Tae-Hyun; Kim, Junsik; Kweon, In So, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), IEEE Computer Society and the Computer Vision Foundation (CVF), 2016-06-28 |
| Globally Optimal Relative Pose Estimation for Camera on a Selfie Stick Joo, Kyungdon; Li, Hongdong; Oh, Tae-Hyun; Bok, Yunsu; Kweon, In-So, IEEE International Conference on Robotics and Automation, pp.4983 - 4989, IEEE International Conference on Robotics and Automation, 2020-05 |
| Image captioning with very scarce supervised data: Adversarial semi-supervised learning approach Kim, Dong-Jin; Choi, Jinsoo; Oh, Tae-Hyun; Kweon, In-So, Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, pp.2012 - 2023, Association for Computational Linguistics, 2019-11 |
| L1-based Photometric Stereo via Augmented Lagrange Multiplier Method Kweon, In-So; Joo, Kyung Don; Oh, Tae-Hyun, The 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.615 - 616, Korea Robotics Society, 2013-11-01 |
| 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 |
| Line Meets As-Projective-As-Possible Image Stitching with Moving DLT Joo, Kyung Don; Namil Kim; Oh, Tae-Hyun; Kweon, In-So, IEEE 2015 International Conference on Image Processing (ICIP), IEEE Signal Processing Society, 2015-09-29 |
| Linear RGB-D SLAM for Atlanta World Joo, Kyungdon; Oh, Tae-Hyun; Rameau, Francois; Bazin, Jean-Charles; Kweon, In-So, IEEE International Conference on Robotics and Automation, pp.1077 - 1083, IEEE International Conference on Robotics and Automation, 2020-05 |
| Part-based Player Identification using Deep Convolutional Representation and Multi-scale Pooling Senocak, Arda; Oh, Tae-Hyun; Kim, Junsik; Kweon, In So, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.1813 - 1820, IEEE, 2018-06 |
| Patch-based Robust L1 Tracker to Dynamic Appearance Change Kweon, In-So; Kim, Wonjin; Oh, Tae-Hyun; Joo, Kyung Don, The 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp.268 - 273, Korea Robotics Society, 2013-10-31 |
| Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning Oh, Tae-Hyun; Joo, Kyungdon; Joshi, Neel; Wang, Baoyuan; Kweon, In-So; Kang, Sing Bing, 16th IEEE International Conference on Computer Vision (ICCV), pp.5170 - 5179, IEEE Computer Society and the Computer Vision Foundation (CVF), 2017-10 |
| Rain/Snow Removal via Low-rank and Sparse Optimization Do, Rockhun; Oh, Tae-Hyun; Kweon, In-So, The 6th Biennial Workshop on DSP for In-Vehicle Systems, IEEE Signal Processing Society, 2013-09-30 |
| Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images Kim, Junsik; Oh, Tae-Hyun; Lee, Seokju; Kweon, In-So, IEEE Conference on Computer Vision and Pattern Recognition, pp.9454 - 9462, IEEE Conference on Computer Vision and Pattern Recognition, 2019-06-20 |
| Visuomotor Understanding for Representation Learning of Driving Scenes Lee, Seokju; Kweon, In-So; Oh, Tae-Hyun; Yoo, Donggeun; Lin, Stephen; Kim, Junsik; Jeong, Yongseop, British Machine Vision Conference (BMVC), British Machine Vision Conference (BMVC), 2019-09-11 |
| Weakly- and Self- Supervised Learning for Content-Aware Deep Image Retargeting Cho, Donghyeon; Park, Jinsun; Oh, Tae-Hyun; Tai, Yu-Wing; Kweon, In-So, 16th IEEE International Conference on Computer Vision, ICCV 2017, pp.4568 - 4577, IEEE Computer Society and the Computer Vision Foundation (CVF), 2017-10 |
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