| Multiscale Combinatorial Grouping P Arbeláez, J Pont-Tuset, JT Barron, F Marques, J Malik CVPR: Computer Vision and Pattern Recognition, 2014 | 1186 | 2014 |
| A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation F Perazzi, J Pont-Tuset, B McWilliams, LV Gool, M Gross, ... CVPR: Computer Vision and Pattern Recognition, 2016 | 896 | 2016 |
| The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale A Kuznetsova, H Rom, N Alldrin, J Uijlings, I Krasin, J Pont-Tuset, ... IJCV: International Journal on Computer Vision, 2020 | 716 | 2020 |
| One-Shot Video Object Segmentation S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ... CVPR: Computer Vision and Pattern Recognition, 2017 | 610 | 2017 |
| Multiscale combinatorial grouping for image segmentation and object proposal generation J Pont-Tuset, P Arbelaez, JT Barron, F Marques, J Malik TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 440 | 2017 |
| OpenImages: A public dataset for large-scale multi-label and multi-class image classification I Krasin, T Duerig, N Alldrin, V Ferrari, S Abu-El-Haija, A Kuznetsova, ... Dataset available from g.co/dataset/open-images., 2017 | 392 | 2017 |
| The 2017 DAVIS Challenge on Video Object Segmentation J Pont-Tuset, F Perazzi, S Caelles, P Arbeláez, A Sorkine-Hornung, ... arXiv preprint arXiv:1704.00675, 2017 | 391 | 2017 |
| Deep Retinal Image Understanding KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool MICCAI 2016, 2016 | 377 | 2016 |
| Deep Extreme Cut: From Extreme Points to Object Segmentation KK Maninis, S Caelles, J Pont-Tuset, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2018 | 205 | 2018 |
| Video Object Segmentation Without Temporal Information KK Maninis, S Caelles, Y Chen, J Pont-Tuset, L Leal-Taixé, D Cremers, ... TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 173 | 2018 |
| Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning Y Chen, J Pont-Tuset, A Montes, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2018 | 150 | 2018 |
| Convolutional Oriented Boundaries: From image segmentation to high-level tasks KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (4 …, 2018 | 146 | 2018 |
| Convolutional Oriented Boundaries KK Maninis, J Pont-Tuset, P Arbeláez, L Van Gool ECCV: European Conference on Computer Vision, 2016 | 112 | 2016 |
| Supervised Evaluation of Image Segmentation and Object Proposal Techniques J Pont-Tuset, F Marques TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 | 107 | 2016 |
| Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation J Pont-Tuset, F Marques CVPR: Computer Vision and Pattern Recognition, 2013 | 95 | 2013 |
| 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 | 71 | 2018 |
| 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 | 52 | 2019 |
| Boosting Object Proposals: From Pascal to COCO J Pont-Tuset, L Van Gool ICCV: International Conference on Computer Vision, 2015 | 44 | 2015 |
| Detection-aided liver lesion segmentation using deep learning M Bellver, KK Maninis, J Pont-Tuset, X Giró-i-Nieto, J Torres, L Van Gool NIPS Workshops, 2017 | 33 | 2017 |
| Scale-Aware Alignment of Hierarchical Image Segmentation Y Chen, D Dai, J Pont-Tuset, L Van Gool CVPR: Computer Vision and Pattern Recognition, 2016 | 31 | 2016 |
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
