Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. - Tim Meinhardt; Michael Möller 001; Caner Hazirbas; Daniel Cremers (ICCV, 2017)

Lifting Layers: Analysis and Applications. - Peter Ochs; Tim Meinhardt; Laura Leal-Taixé; Michael Möller 001 (ECCV (1), 2018)

Tracking Without Bells and Whistles. - Philipp Bergmann; Tim Meinhardt; Laura Leal-Taixé (ICCV, 2019)

Make One-Shot Video Object Segmentation Efficient Again. - Tim Meinhardt; Laura Leal-Taixé (NeurIPS, 2020)

TrackFormer: Multi-Object Tracking with Transformers. - Tim Meinhardt; Alexander Kirillov; Laura Leal-Taixé; Christoph Feichtenhofer (CVPR, 2022)

DeVIS: Making Deformable Transformers Work for Video Instance Segmentation. - Adrià Caelles; Tim Meinhardt; Guillem Brasó; Laura Leal-Taixé (CoRR, 2022)

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)

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)

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. - Orcun Cetintas; Tim Meinhardt; Guillem Brasó; Laura Leal-Taixé (ECCV (12), 2024)

Better Call SAL: Towards Learning to Segment Anything in Lidar. - Aljosa Osep; Tim Meinhardt; Francesco Ferroni; Neehar Peri; Deva Ramanan; Laura Leal-Taixé (ECCV (39), 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 (FG, 2024)

BEV-SUSHI: Multi-Target Multi-Camera 3D Detection and Tracking in Bird's-Eye View. - Yizhou Wang 001; Tim Meinhardt; Orcun Cetintas; Cheng-Yen Yang; Sameer Satish Pusegaonkar; Benjamin Missaoui; Sujit Biswas; Zheng Tang; Laura Leal-Taixé (CoRR, 2024)

Zero-Shot 4D Lidar Panoptic Segmentation. - Yushan Zhang; Aljosa Osep; Laura Leal-Taixé; Tim Meinhardt (CVPR, 2025)

Towards Learning to Complete Anything in Lidar. - Ayca Takmaz; Cristiano Saltori; Neehar Peri; Tim Meinhardt; Riccardo de Lutio; Laura Leal-Taixé; Aljosa Osep (CoRR, 2025)