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Tim Meinhardt
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2020 – today
- 2024
- [c7]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. ECCV (39) 2024: 71-90 - [c6]Maxim Maximov, Tim Meinhardt, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé:
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis. FG 2024: 1-10 - [i10]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR abs/2403.13129 (2024) - [i9]Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé:
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. CoRR abs/2404.11426 (2024) - 2023
- [i8]Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé:
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis. CoRR abs/2306.11710 (2023) - [i7]Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan:
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. CoRR abs/2308.15266 (2023) - 2022
- [c5]Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. CVPR 2022: 8834-8844 - [i6]Adrià Caelles, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé:
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation. CoRR abs/2207.11103 (2022) - 2021
- [i5]Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. CoRR abs/2101.02702 (2021) - 2020
- [c4]Tim Meinhardt, Laura Leal-Taixé:
Make One-Shot Video Object Segmentation Efficient Again. NeurIPS 2020 - [i4]Tim Meinhardt, Laura Leal-Taixé:
Make One-Shot Video Object Segmentation Efficient Again. CoRR abs/2012.01866 (2020)
2010 – 2019
- 2019
- [c3]Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé:
Tracking Without Bells and Whistles. ICCV 2019: 941-951 - [i3]Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé:
Tracking without bells and whistles. CoRR abs/1903.05625 (2019) - 2018
- [c2]Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller:
Lifting Layers: Analysis and Applications. ECCV (1) 2018: 53-68 - [i2]Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller:
Lifting Layers: Analysis and Applications. CoRR abs/1803.08660 (2018) - 2017
- [c1]Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
:
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. ICCV 2017: 1799-1808 - [i1]Tim Meinhardt, Michael Möller, Caner Hazirbas
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. CoRR abs/1704.03488 (2017)
Coauthor Index
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last updated on 2024-10-11 18:23 CEST by the dblp team
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