Tim Meinhardt

25 papers A* 6B 1Journal 14Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos.
ICCVW
Yizhou Wang, Tim Meinhardt, Orcun Cetintas, Cheng-Yen Yang, Sameer Satish Pusegaonkar, Benjamin Missaoui, Sujit Biswas, Zheng Tang, Laura Leal-Taixé
2025 J jnl
NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking.
CoRR
Benjamin Missaoui, Orcun Cetintas, Guillem Brasó, Tim Meinhardt, Laura Leal-Taixé
2025 A* conf
Towards Learning to Complete Anything in Lidar.
ICML
Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taixé, Aljosa Osep
2025 J jnl
Towards Learning to Complete Anything in Lidar.
CoRR
Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taixé, Aljosa Osep
2025 A* conf
Zero-Shot 4D Lidar Panoptic Segmentation.
CVPR
Yushan Zhang, Aljosa Osep, Laura Leal-Taixé, Tim Meinhardt
2025 J jnl
Zero-Shot 4D Lidar Panoptic Segmentation.
CoRR
Yushan Zhang, Aljosa Osep, Laura Leal-Taixé, Tim Meinhardt
2024 J jnl
BEV-SUSHI: Multi-Target Multi-Camera 3D Detection and Tracking in Bird's-Eye View.
CoRR
Yizhou Wang, Tim Meinhardt, Orcun Cetintas, Cheng-Yen Yang, Sameer Satish Pusegaonkar, Benjamin Missaoui, Sujit Biswas, Zheng Tang, Laura Leal-Taixé
2024 — conf
Better Call SAL: Towards Learning to Segment Anything in Lidar.
ECCV (39)
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
2024 J jnl
Better Call SAL: Towards Learning to Segment Anything in Lidar.
CoRR
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
2024 B conf
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis.
FG
Maxim Maximov, Tim Meinhardt, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé
2024 — conf
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow.
ECCV (12)
Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
2024 J jnl
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow.
CoRR
Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
2023 J jnl
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis.
CoRR
Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé
2023 J jnl
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation.
CoRR
Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan
2022 J jnl
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation.
CoRR
Adrià Caelles, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
2022 A* conf
TrackFormer: Multi-Object Tracking with Transformers.
CVPR
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
2021 J jnl
TrackFormer: Multi-Object Tracking with Transformers.
CoRR
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
2020 A* conf
Make One-Shot Video Object Segmentation Efficient Again.
NeurIPS
Tim Meinhardt, Laura Leal-Taixé
2020 J jnl
Make One-Shot Video Object Segmentation Efficient Again.
CoRR
Tim Meinhardt, Laura Leal-Taixé
2019 A* conf
Tracking Without Bells and Whistles.
ICCV
Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé
2019 J jnl
Tracking without bells and whistles.
CoRR
Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé
2018 — conf
Lifting Layers: Analysis and Applications.
ECCV (1)
Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
2018 J jnl
Lifting Layers: Analysis and Applications.
CoRR
Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
2017 A* conf
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems.
ICCV
Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers
2017 J jnl
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems.
CoRR
Tim Meinhardt, Michael Möller, Caner Hazirbas, Daniel Cremers