Tim Meinhardt

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Object Tracking

Computer Vision Systems

Object Segmentation

Top Venues

Publications

Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. CoRR (2024)
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR (2024)
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)
Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. CoRR (2023)
Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis. CoRR (2023)
Adrià Caelles, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation. CoRR (2022)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CVPR (2022)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CoRR (2021)
Tim Meinhardt, Laura Leal-Taixé
Make One-Shot Video Object Segmentation Efficient Again. CoRR (2020)
Tim Meinhardt, Laura Leal-Taixé
Make One-Shot Video Object Segmentation Efficient Again. NeurIPS (2020)
Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé
Tracking Without Bells and Whistles. ICCV (2019)
Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé
Tracking without bells and whistles. CoRR (2019)
Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
Lifting Layers: Analysis and Applications. CoRR (2018)
Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
Lifting Layers: Analysis and Applications. ECCV (1) (2018)
Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. ICCV (2017)
Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. CoRR (2017)