| MOTS: Multi-Object Tracking and Segmentation P Voigtlaender, M Krause, A Osep, J Luiten, BBG Sekar, A Geiger, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 605* | 2019 |
| Siam r-cnn: Visual tracking by re-detection P Voigtlaender, J Luiten, PHS Torr, B Leibe Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 541 | 2020 |
| FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation P Voigtlaender, Y Chai, F Schroff, H Adam, B Leibe, LC Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 421 | 2019 |
| Online adaptation of convolutional neural networks for video object segmentation P Voigtlaender, B Leibe British Machine Vision Conference (BMVC), 2017 | 410 | 2017 |
| PReMVOS: Proposal-generation, refinement and merging for video object segmentation J Luiten, P Voigtlaender, B Leibe Asian Conference on Computer Vision, 2018 | 315 | 2018 |
| Handwriting Recognition with Large Multidimensional Long Short-Term Memory Recurrent Neural Networks P Voigtlaender, P Doetsch, H Ney International Conference on Frontiers in Handwriting Recognition (ICFHR …, 2016 | 253 | 2016 |
| A comprehensive study of deep bidirectional LSTM RNNs for acoustic modeling in speech recognition A Zeyer, P Doetsch, P Voigtlaender, R Schlüter, H Ney 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 210 | 2017 |
| Iteratively Trained Interactive Segmentation S Mahadevan, P Voigtlaender, B Leibe British Machine Vision Conference (BMVC), 2018 | 124 | 2018 |
| Online adaptation of convolutional neural networks for the 2017 davis challenge on video object segmentation P Voigtlaender, B Leibe The 2017 DAVIS Challenge on Video Object Segmentation-CVPR Workshops 5 (6), 2017 | 79 | 2017 |
| RETURNN: The RWTH extensible training framework for universal recurrent neural networks P Doetsch, A Zeyer, P Voigtlaender, I Kulikov, R Schlüter, H Ney 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 79 | 2017 |
| Step: Segmenting and tracking every pixel M Weber, J Xie, M Collins, Y Zhu, P Voigtlaender, H Adam, B Green, ... arXiv preprint arXiv:2102.11859, 2021 | 70 | 2021 |
| Track, then decide: Category-agnostic vision-based multi-object tracking A Ošep, W Mehner, P Voigtlaender, B Leibe 2018 IEEE International Conference on Robotics and Automation (ICRA), 3494-3501, 2018 | 64 | 2018 |
| PReMVOS: Proposal-generation, refinement and merging for the YouTube-VOS challenge on video object segmentation 2018 J Luiten, P Voigtlaender, B Leibe The 1st Large-scale Video Object Segmentation Challenge-ECCV Workshops 1 (2), 6, 2018 | 43* | 2018 |
| Sequence-discriminative training of recurrent neural networks P Voigtlaender, P Doetsch, S Wiesler, R Schlüter, H Ney 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 43 | 2015 |
| PReMVOS: Proposal-generation, Refinement and Merging for the DAVIS Challenge on Video Object Segmentation 2018 J Luiten, P Voigtlaender, B Leibe The 2018 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2018 | 38 | 2018 |
| Boltvos: Box-level tracking for video object segmentation P Voigtlaender, J Luiten, B Leibe arXiv preprint arXiv:1904.04552, 2019 | 31 | 2019 |
| Large-Scale Object Mining for Object Discovery from Unlabeled Video A Osep, P Voigtlaender, J Luiten, S Breuers, B Leibe International Conference on Robotics and Automation, 2019 | 22 | 2019 |
| Large-scale object discovery and detector adaptation from unlabeled video A Ošep, P Voigtlaender, J Luiten, S Breuers, B Leibe arXiv preprint arXiv:1712.08832, 2017 | 20 | 2017 |
| Reducing the annotation effort for video object segmentation datasets P Voigtlaender, L Luo, C Yuan, Y Jiang, B Leibe Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 19 | 2021 |
| 4d generic video object proposals A Ošep, P Voigtlaender, M Weber, J Luiten, B Leibe 2020 IEEE International Conference on Robotics and Automation (ICRA), 10031 …, 2020 | 19 | 2020 |
Bastian LeibeProfessor for Computer Vision, RWTH Aachen UniversityBestätigte E-Mail-Adresse bei vision.rwth-aachen.de
