Tim Meinhardt

According to our database, Tim Meinhardt authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis.

Maxim Maximov, Tim Meinhardt, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

Better Call SAL: Towards Learning to Segment Anything in Lidar.

Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé

Proceedings of the Computer Vision - ECCV 2024, 2024

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow.

Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation.

Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan

CoRR, 2023

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis.

Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé

CoRR, 2023

2022

DeVIS: Making Deformable Transformers Work for Video Instance Segmentation.

Adrià Caelles, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé

CoRR, 2022

TrackFormer: Multi-Object Tracking with Transformers.

Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Make One-Shot Video Object Segmentation Efficient Again.

Tim Meinhardt, Laura Leal-Taixé

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Tracking Without Bells and Whistles.

Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Lifting Layers: Analysis and Applications.

Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems.

Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2017