| Learned Contextual Feature Reweighting for Image Geo-Localization HJ Kim, E Dunn, JM Frahm Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 195 | 2017 |
| Predicting good features for image geo-localization using per-bundle vlad HJ Kim, E Dunn, JM Frahm Proceedings of the IEEE International Conference on Computer Vision, 1170-1178, 2015 | 60 | 2015 |
| Hierarchy of Alternating Specialists for Scene Recognition HJ Kim, JM Frahm European Conference on Computer Vision (ECCV), 2018 | 20 | 2018 |
| NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning T Ng, HJ Kim, V Lee, D Detone, TY Yang, T Shen, E Ilg, V Balntas, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 14 | 2022 |
| Learning good features for visual odometry QH Tran, M Chandraker, HJ Kim US Patent 10,852,749, 2020 | 11 | 2020 |
| Domain Adaptation of Learned Features for Visual Localization S Baik, HJ Kim, T Shen, E Ilg, KM Lee, C Sweeney British Machine Vision Conference (BMVC), 2020 | 9 | 2020 |
| Mitigating Reverse Engineering Attacks on Local Feature Descriptors D Dangwal, VT Lee, HJ Kim, T Shen, M Cowan, R Shah, C Trippel, ... British Machine Vision Conference (BMVC), 2021 | 8* | 2021 |
| Project Aria: A New Tool for Egocentric Multi-Modal AI Research K Somasundaram, J Dong, H Tang, J Straub, M Yan, M Goesele, JJ Engel, ... arXiv preprint arXiv:2308.13561, 2023 | 3 | 2023 |
| Autonomous Vehicle Utilizing Pose Estimation QH Tran, M Chandraker, HJ Kim US Patent App. 16/100,462, 2019 | 3 | 2019 |
| Verifiable Access Control for Augmented Reality Localization and Mapping S Zhu, HJ Kim, M Monge, GE Suh, A Alaghi, B Reagen, V Lee arXiv preprint arXiv:2203.13308, 2022 | 1 | 2022 |
| Implicit Map Augmentation for Relocalization Y Hou, T Shen, TY Yang, D DeTone, HJ Kim, C Sweeney, R Newcombe Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023 | | 2023 |
| Aerial drone utilizing pose estimation QH Tran, M Chandraker, HJ Kim US Patent 10,884,433, 2021 | | 2021 |
| Learning Adaptive Representations for Image Retrieval and Recognition HJ Kim University of North Carolina at Chapel Hill, 2018 | | 2018 |
| A Skewed Rotational Symmetry Detection Technique Using Symmetry-Growing HYOJIN KIM Seoul National University, 2012 | | 2012 |
| Symmetry-Growing for Skewed Rotational Symmetry Detection HJ Kim, M Cho, KM Lee CVPR Workshop on Symmetry Detection in Real-World Images – A Competition, 2011 | | 2011 |
Jan-Michael FrahmProfessor, Computer Science, University of North Carolina at Chapel HillVerified email at cs.unc.edu
