Dynamic Vision and Learning: Code

G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors. Marvin Eisenberger, Aysim Toker, Laura Leal-Taixe, and Daniel Cremers. Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [code] [pdf]
Simple Cues Lead to a Strong Multi-Object Tracker. Jenny Seidenschwarz, Guillem Braso, Victor Castro Serrano, Ismail Elezi, and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [code] [pdf]
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?. Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, and Laura Leal-Taixe. Neural Information Processing Systems (NeurIPS), 2022. [code] [pdf]
Learning to Discover and Detect Objects. Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixe, and Aljosa Osep. Neural Information Processing Systems (NeurIPS), 2022. [code] [pdf]
Multi-Object Tracking and Segmentation Via Neural Message Passing. Guillem Braso, Orcun Cetintas, and Laura Leal-Taixe. International Journal of Computer Vision (IJCV), 2022. [code] [pdf]
Is Geometry Enough for Matching in Visual Localization?. Qunjie Zhou, Sergio Agostinho, Aljosa Osep, and Laura Leal-Taixe. European Conference on Computer Vision (ECCV), 2022. [code] [pdf]
TrackFormer: Multi-Object Tracking with Transformers. Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, and Christoph Feichtenhofer. Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [code] [pdf]
A Unified Framework for Implicit Sinkhorn Differentiation. Marvin Eisenberger, Aysim Toker, Laura Leal-Taixe, Florian Bernard, and Daniel Cremers. Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [code] [pdf]
Opening up Open-World Tracking. Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [code] [pdf]
STEP: Segmenting and Tracking Every Pixel. Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, and Liang-Chieh Chen. Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021. [code] [pdf]
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. Lukas Kondmann, Aysim Toker, Marc Ru{\ss}wurm, Andr{\'e}s Camero, Devis Peressutti, Grega Milcinski, Nicolas Long{\'e}p{\'e}, Pierre-Philippe Mathieu, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixe, and Xiao Xiang Zhu. Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021. [code] [pdf]
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. Patrick Dendorfer, Sven Elflein, and Laura Leal-Taix{\'e}. International Conference on Computer Vision (ICCV), 2021. [code] [pdf]
The Center of Attention: Center-Keypoint Grouping Attention for Multi-Person Pose Estimation. Guillem Braso, Nikita Kister, and Laura Leal-Taixe. International Conference on Computer Vision (ICCV), 2021. [code] [pdf] [video]
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. Sergio Agostinho, Aljosa Osep, Alessio Del Bue, and Laura Leal-Taixe. International Conference on Computer Vision (ICCV) (oral), 2021. [code] [pdf]
Learnning Intra-Batch Connections for Deep Metric Learning. Jenny Seidenschwarz, Ismail Elezi, and Laura Leal-Taixe. International Conference on Machine Learning (ICML), 2021. [code] [pdf]
DeepLab2: A TensorFlow Library for Deep Labeling. Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixe, Alan L. Yuille, Florian Schroff, Hartwig Adam, and Liang-Chieh Chen. arXiv: 2106.09748, 2021. [code] [pdf]
4D Panoptic LiDAR Segmentation. Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [code] [pdf]
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. Qunjie Zhou, Torsten Sattler, and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [code] [pdf] [video]
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. Aysim Toker, Qunjie Zhou, Maxim Maximov, and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [code] [pdf] [video]
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. Aleksandr Kim, Aljosa Osep, and Laura Leal-Taixe. IEEE International Conference on Robotics and Automation (ICRA), 2021. [code] [pdf]
Make One-Shot Video Object Segmentation Efficient Again. Tim Meinhardt and Laura Leal-Taixe. Neural Information Processing Systems (NeurIPS), 2020. [code] [pdf]
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. Marvin Eisenberger, Aysim Toker, Laura Leal-Taixe, and Daniel Cremers. Neural Information Processing Systems (NeurIPS), 2020. [code] [pdf]
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. Patrick Dendorfer, Aljosa Osep, and Laura Leal-Taixe. Asian Conference on Computer Vision (ACCV), 2020. [code] [pdf] [video]
The Group Loss for Deep Metric Learning. Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, and Laura Leal-Taixe. European Conference on Computer Vision (ECCV), 2020. [code] [pdf]
Learning a Neural Solver for Multiple Object Tracking. Guillem Braso and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR) (oral), 2020. [code] [pdf] [video]
Focus on defocus: bridging the synthetic to real domain gap for depth estimation. Maxim Maximov, Kevin Galim, and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [code] [pdf] [video]
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. Maxim Maximov, Ismail Elezi, and Laura Leal-Taixe. Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [code] [pdf] [video]
To Learn or Not to Learn: Visual Localization from Essential Matrices. Qunjie Zhou, Torsten Sattler, Marc Pollefeys, and Laura Leal-Taixe. IEEE International Conference on Robotics and Automation (ICRA), 2020. [code] [pdf]
AlignNet-3D for Fast Point Cloud Registration of Partially Observed Objects. Johannes Gross, Aljosa Osep, and Bastian Leibe. International Conference on 3D Vision (3DV), 2019. [code] [pdf]
Tracking without bells and whistles. Philipp Bergmann, Tim Meinhardt, and Laura Leal-Taixe. IEEE International Conference on Computer Vision (ICCV), 2019. [code] [pdf]
MOTS: Multi-Object Tracking and Segmentation. Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, and Bastian Leibe. Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [code] [pdf]
Lifting Layers: Analysis and Applications. Peter Ochs, Tim Meinhardt, Laura Leal-Taixe, and Michael Moeller. IEEE European Conference on Computer Vision (ECCV), 2018. [code] [pdf]
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems. Tim Meinhardt, Michael Moeller, Caner Hazirbas, and Daniel Cremers. IEEE International Conference on Computer Vision (ICCV), 2017. [code] [pdf]
Combined Image- and World-Space Tracking in Traffic Scenes. Aljosa Osep, Wolfgang Mehner, Markus Mathias, and Bastian Leibe. International Conference on Robotics and Automation (ICRA), 2017. [code] [pdf]
One-Shot Video Object Segmentation. S. Caelles, K.-K. Maninis, J. Pont-Tuset, L. Leal-Taixe, D. Cremers, and L. Van Gool. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [code] [pdf]
Joint Tracking and Segmentation of Multiple Targets. A. Milan, L. Leal-Taixe, K. Schindler, and I. Reid. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [code] [pdf]
Learning an image-based motion context for multiple people tracking. L. Leal-Taixe, M. Fenzi, A. Kuznetsova, B. Rosenhahn, and S. Savarese. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [code] [pdf]
Branch-and-price global optimization for multi-view multi-target tracking. L. Leal-Taixe, G. Pons-Moll, and B. Rosenhahn. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [code] [pdf] [poster] [video]
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker. L. Leal-Taixe, G. Pons-Moll, and B. Rosenhahn. IEEE International Conference on Computer Vision (ICCV) Workshops. 1st Workshop on Modeling, Simulation and Visual Analysis of Large Crowds, 2011. [code] [pdf] [video]