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 | 753* | 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 | 734 | 2020 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 532 | 2024 |
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 | 511 | 2019 |
Online adaptation of convolutional neural networks for video object segmentation P Voigtlaender, B Leibe British Machine Vision Conference (BMVC), 2017 | 475 | 2017 |
PReMVOS: Proposal-generation, refinement and merging for video object segmentation J Luiten, P Voigtlaender, B Leibe Asian Conference on Computer Vision, 2018 | 359 | 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 | 287 | 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 | 227 | 2017 |
Iteratively Trained Interactive Segmentation S Mahadevan, P Voigtlaender, B Leibe British Machine Vision Conference (BMVC), 2018 | 160 | 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 | 91 | 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 | 82 | 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 | 80 | 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 | 77 | 2018 |
Burst: A benchmark for unifying object recognition, segmentation and tracking in video A Athar, J Luiten, P Voigtlaender, T Khurana, A Dave, B Leibe, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 55 | 2023 |
Pali-3 vision language models: Smaller, faster, stronger X Chen, X Wang, L Beyer, A Kolesnikov, J Wu, P Voigtlaender, B Mustafa, ... arXiv preprint arXiv:2310.09199, 2023 | 54 | 2023 |
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 | 47* | 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 | 44 | 2015 |
Paligemma: A versatile 3b vlm for transfer L Beyer, A Steiner, AS Pinto, A Kolesnikov, X Wang, D Salz, M Neumann, ... arXiv preprint arXiv:2407.07726, 2024 | 42 | 2024 |
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 | 39 | 2018 |
Boltvos: Box-level tracking for video object segmentation P Voigtlaender, J Luiten, B Leibe arXiv preprint arXiv:1904.04552, 2019 | 35 | 2019 |