| Open3D: A Modern Library for 3D Data Processing QY Zhou, J Park, V Koltun arXiv preprint arXiv:1801.09847, 2018 | 1856 | 2018 |
| Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction A Knapitsch, J Park, QY Zhou, V Koltun ACM Transactions on Graphics (ToG) 36 (4), 1-13, 2017 | 1235 | 2017 |
| Multispectral Pedestrian Detection: Benchmark Dataset and Baseline SM Hwang, J Park, N Kim, Y Choi, IS Kweon Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015 | 1082 | 2015 |
| Fast Global Registration QY Zhou, J Park, V Koltun Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1018 | 2016 |
| Fully Convolutional Geometric Features C Choy, J Park, V Koltun Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 684 | 2019 |
| Tangent Convolutions for Dense Prediction in 3D M Tatarchenko, J Park, V Koltun, QY Zhou Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 654 | 2018 |
| High Quality Depth Map Upsampling for 3D-TOF Cameras J Park, H Kim, YW Tai, MS Brown, I Kweon 2011 International Conference on Computer Vision, 1623-1630, 2011 | 637 | 2011 |
| Accurate Depth Map Estimation From a Lenslet Light Field Camera HG Jeon, J Park, G Choe, J Park, Y Bok, YW Tai, IS Kweon Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015 | 598 | 2015 |
| Colored Point Cloud Registration Revisited J Park, QY Zhou, V Koltun Proceedings of the IEEE international conference on computer vision, 143-152, 2017 | 373 | 2017 |
| Scaling up GANs for Text-to-Image Synthesis M Kang, JY Zhu, R Zhang, J Park, E Shechtman, S Paris, T Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 368 | 2023 |
| Self-Calibrating Neural Radiance Fields Y Jeong, S Ahn, C Choy, A Anandkumar, M Cho, J Park Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 202 | 2021 |
| ContraGAN: Contrastive Learning for Conditional Image Generation M Kang, J Park Advances in Neural Information Processing Systems 33, 21357-21369, 2020 | 177 | 2020 |
| Fast Point Transformer C Park, Y Jeong, M Cho, J Park Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 173 | 2022 |
| High Quality Depth Map Upsampling and Completion for RGB-D Cameras J Park, H Kim, YW Tai, MS Brown, IS Kweon IEEE Transactions on Image Processing 23 (12), 5559 - 5572, 2014 | 129 | 2014 |
| High-quality Depth from Uncalibrated Small Motion Clip H Ha, S Im, J Park, HG Jeon, IS Kweon Computer Vision and Pattern Recognition (CVPR), 2016 | 124 | 2016 |
| A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms O Johannsen, K Honauer, B Goldluecke, A Alperovich, F Battisti, Y Bok, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 119 | 2017 |
| Real-time Head Orientation from a Monocular Camera using Deep Neural Network B Ahn, J Park, IS Kweon The 12th Asian Conference on Computer Vision (ACCV), 2014 | 115 | 2014 |
| Rebooting ACGAN: Auxiliary classifier GANs with stable training M Kang, W Shim, M Cho, J Park Advances in Neural Information Processing Systems 34, 23505-23518, 2021 | 112 | 2021 |
| Depth from a Light Field Image with Learning-based Matching Costs HG Jeon, J Park, G Choe, J Park, Y Bok, YW Tai, IS Kweon IEEE transactions on pattern analysis and machine intelligence 41 (2), 297-310, 2018 | 111 | 2018 |
| Deep hough voting for robust global registration J Lee, S Kim, M Cho, J Park Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 105 | 2021 |
In So KweonKAISTEmail verificata su kaist.ac.kr
