| The 2018 davis challenge on video object segmentation S Caelles, A Montes, KK Maninis, Y Chen, L Van Gool, F Perazzi, ... arXiv preprint arXiv:1803.00557, 2018 | 1442* | 2018 |
| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 1358 | 2023 |
| One-Shot Video Object Segmentation S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ... CVPR: Computer Vision and Pattern Recognition, 2017 | 1146 | 2017 |
| Deep retinal image understanding KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 638 | 2016 |
| Deep extreme cut: From extreme points to object segmentation KK Maninis, S Caelles, J Pont-Tuset, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 523 | 2018 |
| Video object segmentation without temporal information KK Maninis, S Caelles, Y Chen, J Pont-Tuset, L Leal-Taixé, D Cremers, ... IEEE transactions on pattern analysis and machine intelligence 41 (6), 1515-1530, 2018 | 422 | 2018 |
| Attentive single-tasking of multiple tasks KK Maninis, I Radosavovic, I Kokkinos Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 282 | 2019 |
| Convolutional oriented boundaries: From image segmentation to high-level tasks KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool IEEE transactions on pattern analysis and machine intelligence 40 (4), 819-833, 2017 | 261 | 2017 |
| Convolutional oriented boundaries KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 180 | 2016 |
| The 2019 davis challenge on vos: Unsupervised multi-object segmentation S Caelles, J Pont-Tuset, F Perazzi, A Montes, KK Maninis, L Van Gool arXiv preprint arXiv:1905.00737, 2019 | 167 | 2019 |
| Detection-aided liver lesion segmentation using deep learning M Bellver, KK Maninis, J Pont-Tuset, X Giró-i-Nieto, J Torres, L Van Gool arXiv preprint arXiv:1711.11069, 2017 | 75 | 2017 |
| Probing the 3d awareness of visual foundation models M El Banani, A Raj, KK Maninis, A Kar, Y Li, M Rubinstein, D Sun, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 66 | 2024 |
| Automatic tool landmark detection for stereo vision in robot-assisted retinal surgery T Probst, KK Maninis, A Chhatkuli, M Ourak, E Vander Poorten, ... IEEE Robotics and Automation Letters 3 (1), 612-619, 2017 | 55 | 2017 |
| Iterative deep learning for road topology extraction C Ventura, J Pont-Tuset, S Caelles, KK Maninis, L Van Gool arXiv preprint arXiv:1808.09814, 2018 | 51 | 2018 |
| Vid2cad: Cad model alignment using multi-view constraints from videos KK Maninis, S Popov, M Nießner, V Ferrari IEEE transactions on pattern analysis and machine intelligence 45 (1), 1320-1327, 2022 | 47 | 2022 |
| Navi: Category-agnostic image collections with high-quality 3d shape and pose annotations V Jampani, KK Maninis, A Engelhardt, A Karpur, K Truong, K Sargent, ... Advances in Neural Information Processing Systems 36, 76061-76084, 2023 | 27 | 2023 |
| RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers MJ Tyszkiewicz, KK Maninis, S Popov, V Ferrari European Conference on Computer Vision, 211-228, 2022 | 20 | 2022 |
| Advances on action recognition in videos using an interest point detector based on multiband spatio-temporal energies K Maninis, P Koutras, P Maragos International Conference on Image Processing, 1490-1494, 2014 | 14 | 2014 |
| Cad-estate: Large-scale cad model annotation in rgb videos KK Maninis, S Popov, M Nießner, V Ferrari Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| 3D reconstruction of the retinal surface for robot-assisted eye surgery M Havlena, KK Maninis, D Bouget, E Vander Poorten, L Van Gool Computer assisted radiology and surgery, 112-113, 2016 | 7 | 2016 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEinsait.ai의 이메일 확인됨