| DPSNet: end-to-end deep plane sweep stereo S Im, HG Jeon, S Lin, IS Kweon International Conference on Learning Representations (ICLR), 2019 | 306 | 2019 |
| Deep digging into the generalization of self-supervised monocular depth estimation J Bae, S Moon, S Im Proceedings of the AAAI conference on artificial intelligence 37 (1), 187-196, 2023 | 141 | 2023 |
| High-quality depth from uncalibrated small motion clip H Ha, S Im, J Park, HG Jeon, IS Kweon Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 133 | 2016 |
| Learning monocular depth in dynamic scenes via instance-aware projection consistency S Lee, S Im, S Lin, IS Kweon Proceedings of the AAAI conference on artificial intelligence 35 (3), 1863-1872, 2021 | 126 | 2021 |
| Dranet: Disentangling representation and adaptation networks for unsupervised cross-domain adaptation S Lee, S Cho, S Im Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 108 | 2021 |
| All-Around Depth from Small Motion with a Spherical Panoramic Camera S Im, H Ha, F Rameau, HG Jeon, G Choe, IS Kweon European Conference on Computer Vision (ECCV), 156-172, 2016 | 101 | 2016 |
| Volumefusion: Deep depth fusion for 3d scene reconstruction J Choe, S Im, F Rameau, M Kang, IS Kweon Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 79 | 2021 |
| Stereo matching with color and monochrome cameras in low-light conditions HG Jeon, JY Lee, S Im, H Ha, IS Kweon Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 65 | 2016 |
| Rvmos: Range-view moving object segmentation leveraged by semantic and motion features J Kim, J Woo, S Im IEEE Robotics and Automation Letters 7 (3), 8044-8051, 2022 | 60 | 2022 |
| High quality structure from small motion for rolling shutter cameras S Im, H Ha, G Choe, HG Jeon, K Joo, IS Kweon Proceedings of the IEEE International Conference on Computer Vision, 837-845, 2015 | 54 | 2015 |
| Noise robust depth from focus using a ring difference filter J Surh, HG Jeon, Y Park, S Im, H Ha, I So Kweon Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 53 | 2017 |
| Ring difference filter for fast and noise robust depth from focus HG Jeon, J Surh, S Im, IS Kweon IEEE Transactions on Image Processing 29, 1045-1060, 2019 | 52 | 2019 |
| RANUS: RGB and NIR urban scene dataset for deep scene parsing G Choe, SH Kim, S Im, JY Lee, SG Narasimhan, IS Kweon IEEE Robotics and Automation Letters 3 (3), 1808-1815, 2018 | 50 | 2018 |
| Depth completion with deep geometry and context guidance BU Lee, HG Jeon, S Im, IS Kweon 2019 international conference on robotics and automation (icra), 3281-3287, 2019 | 41 | 2019 |
| Adas: A direct adaptation strategy for multi-target domain adaptive semantic segmentation S Lee, W Choi, C Kim, M Choi, S Im Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
| Accurate 3d reconstruction from small motion clip for rolling shutter cameras S Im, H Ha, G Choe, HG Jeon, K Joo, IS Kweon IEEE transactions on pattern analysis and machine intelligence 41 (4), 775-787, 2018 | 35 | 2018 |
| Monoformer: Towards generalization of self-supervised monocular depth estimation with transformers J Bae, S Moon, S Im arXiv preprint arXiv:2205.11083 1 (2), 4, 2022 | 27 | 2022 |
| Learning residual flow as dynamic motion from stereo videos S Lee, S Im, S Lin, IS Kweon 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 27 | 2019 |
| A study on the generality of neural network structures for monocular depth estimation J Bae, K Hwang, S Im IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (4), 2224-2238, 2023 | 26 | 2023 |
| Disc: A large-scale virtual dataset for simulating disaster scenarios HG Jeon, S Im, BU Lee, DG Choi, M Hebert, IS Kweon 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 17 | 2019 |
In So KweonKAISTVerified email at kaist.ac.kr
