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ORCIDLaura Leal-Taixé
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- affiliation: Technical University of Munich, Department of Informatics, Germany
- affiliation: Leibniz University of Hannover, TNT, Germany
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2020 – today
- 2022
[j7]Lukas Kondmann
, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu:
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)- [i63]Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé:
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CoRR abs/2203.12560 (2022) - [i62]Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé:
Is Geometry Enough for Matching in Visual Localization? CoRR abs/2203.12979 (2022) - [i61]Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé:
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. CoRR abs/2203.15125 (2022) - [i60]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CoRR abs/2203.16297 (2022) - [i59]Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss++: A deeper look into group loss for deep metric learning. CoRR abs/2204.01509 (2022) - [i58]Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers:
A Unified Framework for Implicit Sinkhorn Differentiation. CoRR abs/2205.06688 (2022) - 2021
- [j6]Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. Int. J. Comput. Vis. 129(2): 548-578 (2021) - [j5]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. 129(4): 845-881 (2021) - [c55]Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé:
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. CVPR 2021: 4669-4678 - [c54]Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CVPR 2021: 5527-5537 - [c53]Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé:
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. CVPR 2021: 6488-6497 - [c52]Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé:
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. ICCV 2021: 6088-6097 - [c51]Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara:
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? ICCV 2021: 10829-10839 - [c50]Guillem Brasó, Nikita Kister, Laura Leal-Taixé:
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. ICCV 2021: 11833-11843 - [c49]Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé:
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. ICCV 2021: 13138-13147 - [c48]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings. ICCVW 2021: 3851-3855 - [c47]Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé:
Learning Intra-Batch Connections for Deep Metric Learning. ICML 2021: 9410-9421 - [c46]Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé:
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. ICRA 2021: 11315-11321 - [c45]Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers:
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA 2021: 14360-14366 - [c44]Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu:
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. NeurIPS Datasets and Benchmarks 2021 - [c43]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks 2021 - [i57]Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. CoRR abs/2101.02702 (2021) - [i56]Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé:
Learning Intra-Batch Connections for Deep Metric Learning. CoRR abs/2102.07753 (2021) - [i55]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. CoRR abs/2102.11859 (2021) - [i54]Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CoRR abs/2102.12472 (2021) - [i53]Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers:
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR abs/2103.04727 (2021) - [i52]Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé:
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. CoRR abs/2103.06818 (2021) - [i51]Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé:
Opening up Open-World Tracking. CoRR abs/2104.11221 (2021) - [i50]Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé:
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. CoRR abs/2104.14682 (2021) - [i49]Matthijs Douze, Giorgos Tolias, Ed Pizzi, Zoë Papakipos, Lowik Chanussot, Filip Radenovic, Tomás Jenícek, Maxim Maximov, Laura Leal-Taixé, Ismail Elezi, Ondrej Chum, Cristian Canton-Ferrer:
The 2021 Image Similarity Dataset and Challenge. CoRR abs/2106.09672 (2021) - [i48]Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen:
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR abs/2106.09748 (2021) - [i47]Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez:
Towards Reducing Labeling Cost in Deep Object Detection. CoRR abs/2106.11921 (2021) - [i46]Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé:
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. CoRR abs/2108.03257 (2021) - [i45]Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé:
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. CoRR abs/2108.09274 (2021) - [i44]Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara:
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? CoRR abs/2108.09518 (2021) - [i43]Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiaoxiang Zhu:
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images. CoRR abs/2110.02068 (2021) - [i42]Guillem Brasó, Nikita Kister, Laura Leal-Taixé:
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. CoRR abs/2110.05132 (2021) - 2020
- [j4]Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler:
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning. Remote. Sens. 12(21): 3555 (2020) - [j3]Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey:
Learning temporal coherence via self-supervision for GAN-based video generation. ACM Trans. Graph. 39(4): 75 (2020) - [c42]Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé:
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. ACCV (2) 2020: 405-420 - [c41]Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe, Sebastian Hennen:
Making a Case for 3D Convolutions for Object Segmentation in Videos. BMVC 2020 - [c40]Maxim Maximov, Kevin Galim, Laura Leal-Taixé:
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. CVPR 2020: 1068-1077 - [c39]Maxim Maximov, Ismail Elezi, Laura Leal-Taixé:
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CVPR 2020: 5446-5455 - [c38]Guillem Brasó, Laura Leal-Taixé:
Learning a Neural Solver for Multiple Object Tracking. CVPR 2020: 6246-6256 - [c37]Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda:
How to Train Your Deep Multi-Object Tracker. CVPR 2020: 6786-6795 - [c36]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos. ECCV (11) 2020: 158-177 - [c35]Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. ECCV (7) 2020: 277-294 - [c34]Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixé:
To Learn or Not to Learn: Visual Localization from Essential Matrices. ICRA 2020: 3319-3326 - [c33]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC 2020: 640-650 - [c32]Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers:
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. NeurIPS 2020 - [c31]Tim Meinhardt, Laura Leal-Taixé:
Make One-Shot Video Object Segmentation Efficient Again. NeurIPS 2020 - [c30]Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixé, Jan Dirk Wegner:
HistoNet: Predicting size histograms of object instances. WACV 2020: 3626-3634 - [i41]Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR abs/2001.11845 (2020) - [i40]Rajanie Prabha, Manu Tom, Mathias Rothermel, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler:
Lake Ice Monitoring with Webcams and Crowd-Sourced Images. CoRR abs/2002.07875 (2020) - [i39]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos. CoRR abs/2003.08429 (2020) - [i38]Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
MOT20: A benchmark for multi object tracking in crowded scenes. CoRR abs/2003.09003 (2020) - [i37]Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler:
Planning from Images with Deep Latent Gaussian Process Dynamics. CoRR abs/2005.03770 (2020) - [i36]Maxim Maximov, Ismail Elezi, Laura Leal-Taixé:
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CoRR abs/2005.09544 (2020) - [i35]Maxim Maximov, Kevin Galim, Laura Leal-Taixé:
Focus on defocus: bridging the synthetic to real domain gap for depth estimation. CoRR abs/2005.09623 (2020) - [i34]Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Sebastian Hennen, Laura Leal-Taixé, Bastian Leibe:
Making a Case for 3D Convolutions for Object Segmentation in Videos. CoRR abs/2008.11516 (2020) - [i33]Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking. CoRR abs/2009.07736 (2020) - [i32]Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé:
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. CoRR abs/2010.01114 (2020) - [i31]Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé:
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR abs/2010.07548 (2020) - [i30]Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler:
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning. CoRR abs/2010.14300 (2020) - [i29]Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers:
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. CoRR abs/2010.15261 (2020) - [i28]Tim Meinhardt, Laura Leal-Taixé:
Make One-Shot Video Object Segmentation Efficient Again. CoRR abs/2012.01866 (2020) - [i27]Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé:
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. CoRR abs/2012.01909 (2020)
2010 – 2019
- 2019
- [j2]Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
Video Object Segmentation without Temporal Information. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1515-1530 (2019) - [c29]Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé:
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression. CVPR 2019: 3302-3312 - [c28]Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé:
Tracking Without Bells and Whistles. ICCV 2019: 941-951 - [c27]Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz:
Deep Appearance Maps. ICCV 2019: 8728-8737 - [c26]Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé:
Towards Generalizing Sensorimotor Control Across Weather Conditions. IROS 2019: 4497-4503 - [e7]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11129, Springer 2019, ISBN 978-3-030-11008-6 [contents] - [e6]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11130, Springer 2019, ISBN 978-3-030-11011-6 [contents] - [e5]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11131, Springer 2019, ISBN 978-3-030-11014-7 [contents] - [e4]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11132, Springer 2019, ISBN 978-3-030-11017-8 [contents] - [e3]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part V. Lecture Notes in Computer Science 11133, Springer 2019, ISBN 978-3-030-11020-8 [contents] - [e2]Laura Leal-Taixé, Stefan Roth:
Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part VI. Lecture Notes in Computer Science 11134, Springer 2019, ISBN 978-3-030-11023-9 [contents] - [i26]Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé:
Tracking without bells and whistles. CoRR abs/1903.05625 (2019) - [i25]Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé:
Understanding the Limitations of CNN-based Absolute Camera Pose Regression. CoRR abs/1903.07504 (2019) - [i24]Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé:
CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR abs/1906.04567 (2019) - [i23]Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé:
Towards Generalizing Sensorimotor Control Across Weather Conditions. CoRR abs/1907.11025 (2019) - [i22]Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixé:
To Learn or Not to Learn: Visual Localization from Essential Matrices. CoRR abs/1908.01293 (2019) - [i21]Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. CoRR abs/1912.00385 (2019) - [i20]Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixé, Jan Dirk Wegner:
HistoNet: Predicting size histograms of object instances. CoRR abs/1912.05227 (2019) - [i19]Guillem Brasó, Laura Leal-Taixé:
Learning a Neural Solver for Multiple Object Tracking. CoRR abs/1912.07515 (2019) - 2018
- [c25]Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taixé, Daniel Cremers:
Deep Depth from Focus. ACCV (3) 2018: 525-541 - [c24]Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé:
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. CoRL 2018: 253-269 - [c23]Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn:
Fusion of Head and Full-Body Detectors for Multi-Object Tracking. CVPR Workshops 2018: 1428-1437 - [c22]Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers:
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. CVPR 2018: 1614-1624 - [c21]Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller:
Lifting Layers: Analysis and Applications. ECCV (1) 2018: 53-68 - [i18]Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller:
Lifting Layers: Analysis and Applications. CoRR abs/1803.08660 (2018) - [i17]Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid:
Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. CoRR abs/1805.00613 (2018) - [i16]Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé:
Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs. CoRR abs/1807.01001 (2018) - [i15]Mengyu Chu, You Xie, Laura Leal-Taixé, Nils Thuerey:
Temporally Coherent GANs for Video Super-Resolution (TecoGAN). CoRR abs/1811.09393 (2018) - 2017
- [c20]Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. CVPR 2017: 5320-5329 - [c19]Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers:
Image-Based Localization Using LSTMs for Structured Feature Correlation. ICCV 2017: 627-637 - [i14]Caner Hazirbas, Laura Leal-Taixé, Daniel Cremers:
Deep Depth From Focus. CoRR abs/1704.01085 (2017) - [i13]Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth:
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. CoRR abs/1704.02781 (2017) - [i12]Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn:
Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. CoRR abs/1705.08314 (2017) - [i11]Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn:
Automatic tracking of vessel-like structures from a single starting point. CoRR abs/1706.02434 (2017) - [i10]Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
Video Object Segmentation Without Temporal Information. CoRR abs/1709.06031 (2017) - [i9]Daniel Cremers, Laura Leal-Taixé, René Vidal:
Deep Learning for Computer Vision (Dagstuhl Seminar 17391). Dagstuhl Reports 7(9): 109-125 (2017) - 2016
- [j1]Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn:
Automatic tracking of vessel-like structures from a single starting point. Comput. Medical Imaging Graph. 47: 1-15 (2016) - [c18]Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler:
Learning by Tracking: Siamese CNN for Robust Target Association. CVPR Workshops 2016: 418-425 - [i8]Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOT16: A Benchmark for Multi-Object Tracking. CoRR abs/1603.00831 (2016) - [i7]Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler:
Learning by tracking: Siamese CNN for robust target association. CoRR abs/1604.07866 (2016) - [i6]Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn, Konrad Schindler:
Tracking with multi-level features. CoRR abs/1607.07304 (2016) - [i5]Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool:
One-Shot Video Object Segmentation. CoRR abs/1611.05198 (2016) - [i4]Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers:
Image-based Localization with Spatial LSTMs. CoRR abs/1611.07890 (2016) - 2015
- [c17]Anton Milan, Laura Leal-Taixé, Konrad Schindler, Ian D. Reid:
Joint tracking and segmentation of multiple targets. CVPR 2015: 5397-5406 - [c16]Michele Fenzi, Laura Leal-Taixé, Jörn Ostermann, Tinne Tuytelaars:
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors. ICCV 2015: 1035-1043 - [c15]Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn:
Solving Multiple People Tracking in a Minimum Cost Arborescence. WACV Workshops 2015: 71-72 - [c14]Michele Fenzi, Laura Leal-Taixé, Konrad Schindler, Jörn Ostermann:
Pose Estimation of Object Categories in Videos Using Linear Programming. WACV 2015: 821-828 - [i3]Laura Leal-Taixé, Anton Milan, Ian D. Reid, Stefan Roth, Konrad Schindler:
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. CoRR abs/1504.01942 (2015) - [i2]Jiri Matas, Vittorio Murino, Bodo Rosenhahn, Laura Leal-Taixé:
Holistic Scene Understanding (Dagstuhl Seminar 15081). Dagstuhl Reports 5(2): 80-108 (2015) - 2014
- [b1]Laura Leal-Taixé:
Multiple object tracking with context awareness. University of Hanover, 2014 - [c13]Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese:
Learning an Image-Based Motion Context for Multiple People Tracking. CVPR 2014: 3542-3549 - [c12]Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn:
Efficient Multiple People Tracking Using Minimum Cost Arborescences. GCPR 2014: 265-276 - [i1]Laura Leal-Taixé:
Multiple object tracking with context awareness. CoRR abs/1411.7935 (2014) - 2013
- [c11]Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann:
Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories. CVPR 2013: 755-762 - [c10]Alina Kuznetsova, Laura Leal-Taixé, Bodo Rosenhahn:
Real-Time Sign Language Recognition Using a Consumer Depth Camera. ICCV Workshops 2013: 83-90 - [p1]Laura Leal-Taixé, Bodo Rosenhahn:
Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods. Modeling, Simulation and Visual Analysis of Crowds 2013: 267-294 - 2012
- [c9]