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Tim Meinhardt
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Tracking without bells and whistles
P Bergmann, T Meinhardt, L Leal-Taixe
Proceedings of the IEEE/CVF international conference on computer vision, 941-951, 2019
10262019
TrackFormer: Multi-Object Tracking with Transformers
T Meinhardt, A Kirillov, L Leal-Taixe, C Feichtenhofer
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
6352022
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
T Meinhardt, M Moller, C Hazirbas, D Cremers
Proceedings of the IEEE International Conference on Computer Vision, 1781-1790, 2017
3852017
Holismokes-ii. identifying galaxy-scale strong gravitational lenses in pan-starrs using convolutional neural networks
R Cañameras, S Schuldt, SH Suyu, S Taubenberger, T Meinhardt, ...
Astronomy & Astrophysics 644, A163, 2020
672020
Photometric redshift estimation with a convolutional neural network: NetZ
S Schuldt, SH Suyu, R Cañameras, S Taubenberger, T Meinhardt, ...
Astronomy & Astrophysics 651, A55, 2021
452021
HOLISMOKES-IV. Efficient mass modeling of strong lenses through deep learning
S Schuldt, SH Suyu, T Meinhardt, L Leal-Taixé, R Cañameras, ...
Astronomy & Astrophysics 646, A126, 2021
362021
Make One-Shot Video Object Segmentation Efficient Again
T Meinhardt, L Leal-Taixé
Conference on Neural Information Processing Systems (NeurIPS), 2020
362020
HOLISMOKES-VI. New galaxy-scale strong lens candidates from the HSC-SSP imaging survey
R Cañameras, S Schuldt, Y Shu, SH Suyu, S Taubenberger, T Meinhardt, ...
Astronomy & Astrophysics 653, L6, 2021
342021
Lifting layers: Analysis and applications
P Ochs, T Meinhardt, L Leal-Taixe, M Moeller
Proceedings of the European Conference on Computer Vision (ECCV), 52-67, 2018
92018
HOLISMOKES-IX. Neural network inference of strong-lens parameters and uncertainties from ground-based images
S Schuldt, R Cañameras, Y Shu, SH Suyu, S Taubenberger, T Meinhardt, ...
Astronomy & Astrophysics 671, A147, 2023
82023
Devis: Making deformable transformers work for video instance segmentation
A Caelles, T Meinhardt, G Brasó, L Leal-Taixé
arXiv preprint arXiv:2207.11103, 2022
82022
Novis: A case for end-to-end near-online video instance segmentation
T Meinhardt, M Feiszli, Y Fan, L Leal-Taixe, R Ranjan
arXiv preprint arXiv:2308.15266, 2023
22023
Better Call SAL: Towards Learning to Segment Anything in Lidar
A Ošep, T Meinhardt, F Ferroni, N Peri, D Ramanan, L Leal-Taixé
arXiv preprint arXiv:2403.13129, 2024
2024
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis
M Maximov, T Meinhardt, I Elezi, Z Papakipos, C Hazirbas, C Canton, ...
arXiv preprint arXiv:2306.11710, 2023
2023
HOLISMOKES--XI. Evaluation of supervised neural networks for strong-lens searches in ground-based imaging surveys
R Canameras, S Schuldt, Y Shu, SH Suyu, S Taubenberger, IT Andika, ...
arXiv preprint arXiv:2306.03136, 2023
2023
VizieR Online Data Catalog: HSC-SSP lens candidates from neural networks (Canameras+, 2021)
R Canameras, S Schuldt, Y Shu, SH Suyu, S Taubenberger, T Meinhardt, ...
VizieR Online Data Catalog, J/A+ A/653/L6, 2021
2021
VizieR Online Data Catalog: Pan-STARRS lens candidates from neural networks (Canameras+ 2020)
R Canameras, S Schuldt, SH Suyu, S Taubenberger, T Meinhardt, ...
VizieR Online Data Catalog, J/A+ A/644/A163, 2020
2020
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