| One-Shot Video Object Segmentation S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ... CVPR: Computer Vision and Pattern Recognition, 2017 | 476 | 2017 |
| Deep retinal image understanding KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool International conference on medical image computing and computer-assisted …, 2016 | 316 | 2016 |
| 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 | 295* | 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 | 141* | 2018 |
| 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 | 132 | 2018 |
| 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 | 114 | 2017 |
| Convolutional oriented boundaries KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool European Conference on Computer Vision, 580-596, 2016 | 105 | 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 | 30 | 2019 |
| Attentive single-tasking of multiple tasks KK Maninis, I Radosavovic, I Kokkinos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 25 | 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 | 25 | 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 | 22* | 2018 |
| 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 |
| 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 | 13 | 2017 |
| Towards an intelligent robotic walker for assisted living using multimodal sensorial data G Chalvatzaki, G Pavlakos, K Maninis, X Papageorgiou, V Pitsikalis, ... International Conference on Wireless Mobile Communication and Healthcare …, 2014 | 5 | 2014 |
| 3D Reconstruction of the Retinal Surface for Robot-Assisted Eye Surgery M Havlena, KK Maninis, D Bouget, E Vander Poorten, L Van Gool Proceedings of the 6th joint workshop on new technologies for computer/robot …, 2016 | 3 | 2016 |
| Toward Global Calibration of a Robot-Assisted Vitreo-Retinal Surgery based on OCT C-Scan Image Registration M Ourak, G Borghesan, L Esteveny, S Hecker, T Probst, A Chhatkuli, ... 8th Joint Workshop on New Technologies for Computer/Robotic Surgery (CRAS 2017), 2017 | 1 | 2017 |
| Online Reconstruction of Retinal 3D Map from Stereo in Close-to-Realtime for Eye Surgery S Hecker, T Probst, A Chhatkuli, KK Maninis, M Havlena, ... Proceedings of the 7th Joint Workshop on New Technologies for Computer/Robot …, 2017 | 1 | 2017 |
| Deeply Learned 2D Tool Pose Estimation for Robot-to-Camera Registration KK Maninis, A Chhatkuli, J Pont-Tuset, S Hecker, T Probst, M Ourak, ... Proceedings of the 7th Joint Workshop on New Technologies for Computer/Robot …, 2017 | 1 | 2017 |
| Exploiting Low-Level Features for Higher-Level Scene Understanding KK Maninis ETH Zurich, 2019 | | 2019 |
| Αναγνώριση Και Ταξινόμηση Ανθρώπινων Δράσεων Σε Video ΚΚ Μανίνης National Technical University of Athens, 2014 | | 2014 |
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
