| Rdfnet: Rgb-d multi-level residual feature fusion for indoor semantic segmentation SJ Park, KS Hong, S Lee Proceedings of the IEEE international conference on computer vision, 4980-4989, 2017 | 356 | 2017 |
| Srfeat: Single image super-resolution with feature discrimination SJ Park, H Son, S Cho, KS Hong, S Lee Proceedings of the European conference on computer vision (ECCV), 439-455, 2018 | 216 | 2018 |
| Meta variance transfer: Learning to augment from the others SJ Park, S Han, JW Baek, I Kim, J Song, HB Lee, JJ Han, SJ Hwang International conference on machine learning, 7510-7520, 2020 | 54 | 2020 |
| Defocus and motion blur detection with deep contextual features B Kim, H Son, SJ Park, S Cho, S Lee Computer Graphics Forum 37 (7), 277-288, 2018 | 36 | 2018 |
| Discface: Minimum discrepancy learning for deep face recognition I Kim, S Han, SJ Park, JW Baek, J Shin, JJ Han, C Choi Proceedings of the Asian conference on computer vision, 2020 | 22 | 2020 |
| Quality-agnostic image recognition via invertible decoder I Kim, S Han, J Baek, SJ Park, JJ Han, J Shin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
| Recovering an indoor 3D layout with top-down semantic segmentation from a single image SJ Park, KS Hong Pattern Recognition Letters 68, 70-75, 2015 | 9 | 2015 |
| Video semantic object segmentation by self-adaptation of DCNN SJ Park, KS Hong Pattern Recognition Letters 112, 249-255, 2018 | 8 | 2018 |
