| Cbam: Convolutional block attention module S Woo, J Park, JY Lee, IS Kweon Proceedings of the European conference on computer vision (ECCV), 3-19, 2018 | 9656 | 2018 |
| Adaptive support-weight approach for correspondence search KJ Yoon, IS Kweon IEEE transactions on pattern analysis and machine intelligence 28 (4), 650-656, 2006 | 1628 | 2006 |
| Bam: Bottleneck attention module J Park, S Woo, JY Lee, IS Kweon arXiv preprint arXiv:1807.06514, 2018 | 841 | 2018 |
| Multispectral pedestrian detection: Benchmark dataset and baseline S Hwang, J Park, N Kim, Y Choi, I So Kweon Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 722 | 2015 |
| 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 | 586 | 2011 |
| A tensor-based algorithm for high-order graph matching O Duchenne, F Bach, IS Kweon, J Ponce IEEE transactions on pattern analysis and machine intelligence 33 (12), 2383 …, 2011 | 565 | 2011 |
| Accurate depth map estimation from a lenslet light field camera HG Jeon, J Park, G Choe, J Park, Y Bok, YW Tai, I So Kweon Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 513 | 2015 |
| Learning loss for active learning D Yoo, IS Kweon Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 450 | 2019 |
| Vpgnet: Vanishing point guided network for lane and road marking detection and recognition S Lee, J Kim, J Shin Yoon, S Shin, O Bailo, N Kim, TH Lee, H Seok Hong, ... Proceedings of the IEEE international conference on computer vision, 1947-1955, 2017 | 381 | 2017 |
| Locally adaptive support-weight approach for visual correspondence search KJ Yoon, IS Kweon 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 358 | 2005 |
| Pixel-level domain transfer D Yoo, N Kim, S Park, AS Paek, IS Kweon Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 339 | 2016 |
| Self-supervised video representation learning with space-time cubic puzzles D Kim, D Cho, IS Kweon Proceedings of the AAAI conference on artificial intelligence 33 (01), 8545-8552, 2019 | 291 | 2019 |
| Terrain mapping for a roving planetary explorer IS Kweon, M Hebert, E Krotkov, T Kanade IEEE International Conference on Robotics and Automation, 997-1002, 1989 | 277 | 1989 |
| Unsupervised intra-domain adaptation for semantic segmentation through self-supervision F Pan, I Shin, F Rameau, S Lee, IS Kweon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 271 | 2020 |
| Learning a deep convolutional network for light-field image super-resolution Y Yoon, HG Jeon, D Yoo, JY Lee, I So Kweon Proceedings of the IEEE international conference on computer vision …, 2015 | 267 | 2015 |
| Learning to localize sound source in visual scenes A Senocak, TH Oh, J Kim, MH Yang, IS Kweon Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 248 | 2018 |
| Extracting topographic terrain features from elevation maps IS Kweon, T Kanade CVGIP: image understanding 59 (2), 171-182, 1994 | 234 | 1994 |
| Geometric calibration of micro-lens-based light field cameras using line features Y Bok, HG Jeon, IS Kweon IEEE transactions on pattern analysis and machine intelligence 39 (2), 287-300, 2016 | 233 | 2016 |
| Geometric and algebraic constraints of projected concentric circles and their applications to camera calibration JS Kim, P Gurdjos, IS Kweon IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (4), 637-642, 2005 | 213 | 2005 |
| High-resolution terrain map from multiple sensor data IS Kweon, T Kanade IEEE Transactions on Pattern Analysis and Machine Intelligence 14 (2), 278-292, 1992 | 209 | 1992 |
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