Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation S Lee, D Kim, N Kim, SG Jeong The IEEE International Conference on Computer Vision (ICCV), 2019 | 204 | 2019 |
Motion-compensated frame interpolation based on multihypothesis motion estimation and texture optimization SG Jeong, C Lee, CS Kim IEEE Transactions on Image Processing 22 (11), 4497-4509, 2013 | 81 | 2013 |
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty S Ryou, SG Jeong, P Perona The IEEE International Conference on Computer Vision (ICCV), 2019 | 52 | 2019 |
End-to-end Learning of Image based Lane-Change Decision SG Jeong, J Kim, S Kim, J Min IEEE Intelligent Vehicles Symposium (IV), 2017 | 33 | 2017 |
Eigenlanes: Data-driven lane descriptors for structurally diverse lanes D Jin, W Park, SG Jeong, H Kwon, CS Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
Marked point process model for facial wrinkle detection SG Jeong, Y Tarabalka, J Zerubia 2014 IEEE International Conference on Image Processing (ICIP), 1391-1394, 2014 | 21 | 2014 |
Content-aware image and video resizing based on frequency domain analysis JS Kim, SG Jeong, Y Joo, CS Kim IEEE Transactions on Consumer Electronics 57 (2), 615-622, 2011 | 17 | 2011 |
Instance-level future motion estimation in a single image based on ordinal regression KR Kim, W Choi, YJ Koh, SG Jeong, CS Kim Proceedings of the IEEE/CVF International Conference on Computer Vision, 273-282, 2019 | 15 | 2019 |
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates J Revaud, M Heo, RS Rezende, C You, SG Jeong Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 15 | 2019 |
Harmonious semantic line detection via maximal weight clique selection D Jin, W Park, SG Jeong, CS Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
Marked point process model for curvilinear structures extraction SG Jeong, Y Tarabalka, J Zerubia Energy Minimization Methods in Computer Vision and Pattern Recognition …, 2015 | 6 | 2015 |
Progressive tree-like curvilinear structure reconstruction with structured ranking learning and graph algorithm SG Jeong, Y Tarabalka, N Nisse, J Zerubia arXiv preprint arXiv:1612.02631, 2016 | 5 | 2016 |
Self-supervised surround-view depth estimation with volumetric feature fusion JH Kim, J Hur, TP Nguyen, SG Jeong Advances in Neural Information Processing Systems 35, 4032-4045, 2022 | 4 | 2022 |
Real-time acquisition and representation of 3D environmental data SH Lee, SG Jeong, TY Chung, CS Kim Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012 | 4 | 2012 |
Exemplar-based frame rate up-conversion with congruent segmentation SG Jeong, C Lee, CS Kim IEEE International Conference on Image Processing (ICIP), 845--848, 2012 | 4 | 2012 |
Slabins: Fisheye depth estimation using slanted bins on road environments J Lee, G Cho, J Park, K Kim, S Lee, JH Kim, SG Jeong, K Joo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
BAAM: Monocular 3D pose and shape reconstruction with bi-contextual attention module and attention-guided modeling HJ Lee, H Kim, SM Choi, SG Jeong, YJ Koh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
Stochastic model for curvilinear structure reconstruction using morphological profiles SG Jeong, Y Tarabalka, J Zerubia 2015 IEEE International Conference on Image Processing (ICIP), 3575-3579, 2015 | 2 | 2015 |
An indoor space representation method using 3D environmental data SH Lee, SG Jeong, TY Chung, CS Kim Proceedings of the Korean Society of Broadcast Engineers Conference, 417-418, 2012 | 2 | 2012 |
Delegated Adversarial Training for Unsupervised Domain Adaptation D Kim, S Lee, N Kim, SG Jeong 2019 IEEE International Conference on Image Processing (ICIP), 2019 | 1 | 2019 |