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 | 1026 | 2019 |
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 | 635 | 2022 |
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 | 385 | 2017 |
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 | 67 | 2020 |
Photometric redshift estimation with a convolutional neural network: NetZ S Schuldt, SH Suyu, R Cañameras, S Taubenberger, T Meinhardt, ... Astronomy & Astrophysics 651, A55, 2021 | 45 | 2021 |
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 | 36 | 2021 |
Make One-Shot Video Object Segmentation Efficient Again T Meinhardt, L Leal-Taixé Conference on Neural Information Processing Systems (NeurIPS), 2020 | 36 | 2020 |
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 | 34 | 2021 |
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 | 9 | 2018 |
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 | 8 | 2023 |
Devis: Making deformable transformers work for video instance segmentation A Caelles, T Meinhardt, G Brasó, L Leal-Taixé arXiv preprint arXiv:2207.11103, 2022 | 8 | 2022 |
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 | 2 | 2023 |
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 |