| The Visual Object Tracking VOT2014 Challenge Results M Kristan, R Pflugfelder, A Leonardis, J Matas, L Čehovin, G Nebehay, ... ECCV 2014 Workshops, 2014 | 2155 | 2014 |
| LIFT: Learned Invariant Feature Transform KM Yi, E Trulls, V Lepetit, P Fua European Conference on Computer Vision, 2016 | 1553 | 2016 |
| Learning to Find Good Correspondences KM Yi, E Trulls, Y Ono, V Lepetit, M Salzmann, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 639 | 2018 |
| LF-Net: Learning local features from images Y Ono, E Trulls, P Fua, KM Yi Advances in neural information processing systems, 6234-6244, 2018 | 631 | 2018 |
| TILDE: A Temporally Invariant Learned DEtector Y Verdie, KM Yi, P Fua, V Lepetit Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on …, 2015 | 419 | 2015 |
| Image matching across wide baselines: From paper to practice Y Jin, D Mishkin, A Mishchuk, J Matas, P Fua, KM Yi, E Trulls International Journal of Computer Vision 129 (2), 517-547, 2021 | 382 | 2021 |
| COTR: Correspondence Transformer for Matching Across Images W Jiang, E Trulls, J Hosang, A Tagliasacchi, KM Yi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 288 | 2021 |
| Intelligent visual surveillance—a survey IS Kim, HS Choi, KM Yi, JY Choi, SG Kong International Journal of Control, Automation and Systems 8 (5), 926-939, 2010 | 243 | 2010 |
| DeRF: Decomposed radiance fields D Rebain, W Jiang, S Yazdani, K Li, KM Yi, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 230 | 2021 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 188 | 2022 |
| ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning W Sun, W Jiang, E Trulls, A Tagliasacchi, KM Yi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 184 | 2020 |
| Neuman: Neural human radiance field from a single video W Jiang, KM Yi, G Samei, O Tuzel, A Ranjan European Conference on Computer Vision, 402-418, 2022 | 183 | 2022 |
| Detection of moving objects with non-stationary cameras in 5.8 ms: Bringing motion detection to your mobile device KM Yi, K Yun, S Wan Kim, H Jin Chang, J Young Choi Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 150 | 2013 |
| Learning to Assign Orientations to Feature Points KM Yi, Y Verdie, P Fua, V Lepetit Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 143 | 2016 |
| A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images A Crivellaro, M Rad, Y Verdie, KM Yi, P Fua, V Lepetit Proceedings of the IEEE International Conference on Computer Vision, 4391-4399, 2015 | 134 | 2015 |
| Beyond cartesian representations for local descriptors P Ebel, A Mishchuk, KM Yi, P Fua, E Trulls Proceedings of the IEEE/CVF International Conference on Computer Vision, 253-262, 2019 | 123 | 2019 |
| Detection of moving objects with a moving camera using non-panoramic background model SW Kim, K Yun, KM Yi, SJ Kim, JY Choi Machine vision and applications 24, 1015-1028, 2013 | 120 | 2013 |
| LOLNeRF: Learn from One Look D Rebain, M Matthews, KM Yi, D Lagun, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 106 | 2022 |
| Conerf: Controllable neural radiance fields K Kania, KM Yi, M Kowalski, T Trzciński, A Tagliasacchi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 102 | 2022 |
| Canonical Capsules: Self-Supervised Capsules in Canonical Pose W Sun, A Tagliasacchi, B Deng, S Sabour, S Yazdani, G Hinton, KM Yi Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 93 | 2021 |
Pascal FuaProfessor Computer Science, EPFLVerified email at epfl.ch
