2023
|
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.
[pdf]
[code]
|
|
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.
[pdf]
|
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Unifying Short and Long-Term Tracking with Graph Hierarchies.
Orcun Cetintas*, Guillem Braso*, and Laura Leal-Taixe (* equal contribution).
Conference on Computer Vision and Pattern Recognition (CVPR),
2023.
[pdf]
|
|
2022
|
Decoupling identity and visual quality for image and video anonymization.
Maxim Maximov, Ismail Elezi, and Laura Leal-Taixe.
Asian Conference on Computer Vision (ACCV),
2022.
[pdf coming soon]
|
|
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.
[pdf]
[code]
|
|
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes.
Peter Kocsis, Peter Sukenik, Guillem Braso, Matthias Niessner, Laura Leal-Taixe, and Ismail Elezi.
Advances in Neural Information and Processing Systems (NeurIPS),
2022.
[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.
[pdf]
[code]
|
|
Multi-Object Tracking and Segmentation Via Neural Message Passing.
Guillem Braso*, Orcun Cetintas*, and Laura Leal-Taixe (* equal contribution).
International Journal of Computer Vision (IJCV),
2022.
[pdf]
[code]
|
|
Decoding semantic concepts from neuronal population activity in the human medial temporal lobe in response to dynamic visual stimulation.
Franziska Gerken*, Alana Darcher*, Pedro Goncalves, Rachel Rapp, Ismail Elezi, Johannes Niediek, Stefanie Liebe, Jakob H. Macke, Florian Mormann, and Laura Leal-Taixe (* equal contribution).
Bernstein Conference 2022,
2022.
[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.
[pdf]
[code]
|
|
How far can geometric relations take us in 3D multi-object tracking?.
Aleksandr Kim, Guillem Braso, Aljosa Osep, and Laura Leal-Taixe.
European Conference on Computer Vision (ECCV),
2022.
[pdf]
|
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Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles.
Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixe, Cyrill Stachniss, and Jens Behley.
IEEE Robotics and Automation Letters (RA-L),
2022.
[pdf]
|
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DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment.
Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixe, and Daniel Cremers.
International Conference on Intelligent Robots and Systems (IROS),
2022.
[pdf]
|
|
Deep Vehicle Detection in Satellite Video.
Roman Pflugfelder, Axel Weissenfeld, and Julian Wagner.
arXiv,
2022.
[pdf]
|
|
The Group Loss++: A deeper look into group loss for deep metric learning.
Ismail Elezi*, Jenny Seidenschwarz*, Laurin Wagner*, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, and Laura Leal-Taixe (* equal contribution).
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),
2022.
[pdf]
|
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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.
[pdf]
[code]
|
|
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation.
Aysim Toker*, Lukas Kondmann*, Mark Weber, Marvin Eisenberger, Andres Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Caglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiaoxiang Zhu, and Laura Leal-Taixe (* equal contribution).
Conference on Computer Vision and Pattern Recognition (CVPR),
2022.
[pdf]
[Project Page]
|
|
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.
[pdf]
[code]
|
|
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection.
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixe, and Jose M. Alvarez.
Conference on Computer Vision and Pattern Recognition (CVPR),
2022.
[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.
[pdf]
[code]
|
|
Forecasting from LiDAR via Future Object Detection.
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixe, and Deva Ramanan.
Conference on Computer Vision and Pattern Recognition (CVPR),
2022.
[pdf coming soon]
|
|
Towards cross-modal pose localization from text-based position descriptions.
Manuel Kolmet, Qunjie Zhou, Aljosa Osep, and Laura Leal-Taixe.
Conference on Computer Vision and Pattern Recognition (CVPR),
2022.
[pdf]
[Project Page]
|
|
2021
|
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.
[pdf]
[code]
|
|
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.
[pdf]
[code]
|
|
Id-reveal: Identity-aware deepfake video detection.
Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Niessner, and Luisa Verdoliva.
ICCV,
2021.
[pdf]
[video]
|
|
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.
[pdf]
[code]
[Project Page]
|
|
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.
[pdf]
[code]
[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.
[pdf]
[code]
|
|
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?.
Matteo Fabbri, Guillem Braso, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixe, and Rita Cucchiara.
International Conference on Computer Vision (ICCV),
2021.
[pdf]
[Project Page]
|
|
Active Learning for Deep Object Detection via Probabilistic Modeling.
Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clement Farabet, and Jose M. Alvarez.
International Conference on Computer Vision (ICCV),
2021.
[pdf]
|
|
Learnning Intra-Batch Connections for Deep Metric Learning.
Jenny Seidenschwarz, Ismail Elezi, and Laura Leal-Taixe.
International Conference on Machine Learning (ICML),
2021.
[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.
[pdf]
[code]
|
|
SpoC: Spoofing camera fingerprints.
Davide Cozzolino, Justus Thies, Andreas Rössler, Matthias Niessner, and Luisa Verdoliva.
CVPR Workshop,
2021.
[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.
[pdf]
[code]
|
|
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences.
Qunjie Zhou, Torsten Sattler, and Laura Leal-Taixe.
Conference on Computer Vision and Pattern Recognition (CVPR),
2021.
[pdf]
[code]
[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.
[pdf]
[code]
[video]
[CVPR daily]
|
|
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.
[pdf]
[code]
|
|
2020
|
Single-shot Panoptic Segmentation.
Mark Weber, Jonathon Luiten, and Bastian Leibe.
International Conference on Intelligent Robots and Systems (IROS),
2020.
[pdf]
|
|
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking.
Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, and Laura Leal-Taixe.
International Journal of Computer Vision (IJCV),
2020.
[pdf]
|
|
Make One-Shot Video Object Segmentation Efficient Again.
Tim Meinhardt and Laura Leal-Taixe.
Neural Information Processing Systems (NeurIPS),
2020.
[pdf]
[code]
|
|
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport.
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixe, and Daniel Cremers.
Neural Information Processing Systems (NeurIPS),
2020.
[pdf]
[code]
|
|
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.
[pdf]
[code]
[video]
[Project Page]
|
|
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking.
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip Torr, Andreas Geiger, Laura Leal-Taixe, and Bastian Leibe.
International Journal of Computer Vision (IJCV),
2020.
[pdf]
|
|
Making a Case for 3D Convolutions for Object Segmentation in Videos.
Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Sebastian Hennen, Laura Leal-Taixe, and Bastian Leibe.
British Machine Vision Conference (BMVC),
2020.
[pdf]
|
|
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos.
Ali Athar*, Sabarinath Mahadevan*, Aljosa Osep, Laura Leal-Taixe, and Bastian Leibe (* equal contribution).
European Conference on Computer Vision (ECCV),
2020.
[pdf]
|
|
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.
[pdf]
[code]
|
|
HOLISMOKES -- II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks.
Raoul Canameras, Stefan Schuldt, Sherry H. Suyu, Stefan Taubenberger, Tim Meinhardt, Laura Leal-Taixe, Cameron Lemon, Karina Rojas, and Elodie Savary.
Astronomy and Astrophysics,
2020.
[pdf]
|
|
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation.
Mengyu Chu, You Xie, J. Meyer Laura Leal-Taixe, and Nils Thuerey.
SIGGRAPH,
2020.
[pdf]
|
|
MOT20: A benchmark for multi object tracking in crowded scenes.
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, and Laura Leal-Taixe.
arXiv:2003.09003,
2020.
[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.
[pdf]
[code]
[video]
[CVPR daily]
|
|
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.
[pdf]
[code]
[video]
|
|
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks.
Maxim Maximov*, Ismail Elezi*, and Laura Leal-Taixe (* equal contribution).
Conference on Computer Vision and Pattern Recognition (CVPR),
2020.
[pdf]
[code]
[video]
|
|
How To Train Your Deep Multi-Object Tracker.
Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixe, and Xavier Alameda-Pineda.
Conference on Computer Vision and Pattern Recognition (CVPR),
2020.
[pdf]
|
|
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.
[pdf]
[code]
|
|
4D Generic Video Object Proposals.
Aljosa Osep, Paul Voigtlaender, Mark Weber, Jonathon Luiten, and Bastian Leibe.
International Conference on Robotics and Automation (ICRA),
2020.
[pdf]
|
|
HistoNet: Predicting size histograms of object instances.
Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixe, and Jan Wegner.
Winter Conference on Applications of Computer Vision (WACV),
2020.
[pdf]
|
|
2019
|
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection.
Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Niessner, and Luisa Verdoliva.
arXiv,
2019.
[pdf]
[Project Page]
|
|
Visual Person Understanding Through Multi-task and Multi-dataset Learning.
Kilian Pfeiffer, Alexander Hermans, Istvan Sarandi, Mark Weber, and Bastian Leibe.
German Conference on Pattern Recognition (GCPR),
2019.
[pdf]
|
|
FaceForensics++: Learning to Detect Manipulated Facial Images.
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Niessner.
ICCV,
2019.
[pdf]
[video]
[Project Page]
|
|
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.
[pdf]
[code]
|
|
Tracking without bells and whistles.
Philipp Bergmann*, Tim Meinhardt*, and Laura Leal-Taixe (* equal contribution).
IEEE International Conference on Computer Vision (ICCV),
2019.
[pdf]
[code]
|
|
Deep Appearance Maps.
Maxim Maximov, Tobias Ritschel, Laura Leal-Taixe, and Mario Fritz.
International Conference on Computer Vision (ICCV),
2019.
[pdf]
|
|
Towards Generalizing Sensorimotor Control Across Weather Conditions.
Qadeer Khan, Patrick Wenzel, Daniel Cremers, and Laura Leal-Taixe.
International Conference on Intelligent Robots and Systems (IROS),
2019.
[pdf]
|
|
CVPR19 Tracking and Detection Challenge: How crowded can it get?.
Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian Reid, Stefan Roth, Konrad Schindler, and Laura Leal-Taixe.
arXiv:1906.04567,
2019.
[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.
[pdf]
[code]
|
|
Understanding the Limitations of CNN-based Absolute Camera Pose Regression.
Torsten Sattler, Qunjie Zhou, Marc Pollefeys, and Laura Leal-Taixe.
Conference on Computer Vision and Pattern Recognition (CVPR),
2019.
[pdf]
|
|
Large-Scale Object Mining for Object Discovery from Unlabeled Video.
Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, and Bastian Leibe.
International Conference on Robotics and Automation (ICRA),
2019.
[pdf]
|
|
2018
|
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs.
Patrick Wenzel, Qadeer Khan, Daniel Cremers, and Laura Leal-Taixe.
Conference on Robot Learning (CoRL),
2018.
[pdf]
[video]
|
|
Lifting Layers: Analysis and Applications.
Peter Ochs, Tim Meinhardt, Laura Leal-Taixe, and Michael Moeller.
IEEE European Conference on Computer Vision (ECCV),
2018.
[pdf]
[code]
|
|
Deep Perm-Set Net: Learn to Predict Sets with Unknown Permutation and Cardinality Using Deep Neural Networks.
S. Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixe, and Ian Reid.
arxiv:1805.00613,
2018.
[pdf]
|
|
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces.
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Niessner.
arXiv,
2018.
[pdf]
[video]
[Project Page]
|
|
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs.
Emanuel Laude, Jan-Hendrik Lange, Jonas Schuepfer, Csaba Domokos, L. Leal-Taixe, Frank R. Schmidt, Bjoern Andres, and Daniel Cremers.
Conference on Computer Vision and Pattern Recognition (CVPR),
2018.
[pdf]
|
|
LIME: Live Intrinsic Material Estimation.
Abhimitra Meka, Maxim Maximov, Michael Zollhoefer, Avishek Chatterjee, Hans-Peter Seidel, Christian Richardt, and Christian Theobalt.
Conference on Computer Vision and Pattern Recognition (CVPR),
2018.
[pdf]
|
|
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking.
Aljosa Osep, Wolfgang Mehner, Paul Voigtlaender, and Bastian Leibe.
International Conference on Robotics and Automation (ICRA),
2018.
[pdf]
|
|
Video Object Segmentation Without Temporal Information.
K.-K. Maninis, S. Caelles, Y. Chen, J. Pont-Tuset, L. Leal-Taixe, D. Cremers, and L. Van Gool.
Transactions on Pattern Analysis and Machine Intelligence (TPAMI),
2018.
[pdf]
|
|
Fusion of Head and Full-Body Detectors for Multi-Object Tracking.
R. Henschel, L. Leal-Taixe, D. Cremers, and B. Rosenhahn.
Computer Vision and Pattern Recognition Workshops (CVPRW),
2018.
[pdf]
|
|
2017
|
Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking.
L. Leal-Taixe, A. Milan, K. Schindler, D. Cremers, I. Reid, and S. Roth.
arXiv:1704.02781,
2017.
[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.
[pdf]
[code]
|
|
Image-based localization using LSTMs for structured feature correlation.
F. Walch, C. Hazirbas, L. Leal-Taixe, T. Sattler, S. Hilsenbeck, and D. Cremers.
IEEE International Conference on Computer Vision (ICCV),
2017.
[pdf]
[challenge]
|
|
Deep Depth from Focus.
C. Hazirbas, L. Leal-Taixe, and D. Cremers.
Asian Conference in Computer Vision (ACCV),
2017.
[pdf]
[challenge]
|
|
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.
[pdf]
[code]
|
|
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.
[pdf]
[code]
[CVPR daily]
|
|
2016
|
Tracking with multi-level features.
R. Henschel, L. Leal-Taixe, B. Rosenhahn, and K. Schindler.
arXiv:1607.07304,
2016.
[pdf]
|
|
Learning by tracking: siamese CNN for robust target association.
L. Leal-Taixe, C. Canton-Ferrer, and K. Schindler.
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR). DeepVision: Deep Learning for Computer Vision.,
2016.
[pdf]
|
|
MOT16: A benchmark for multi-object tracking.
A. Milan, L. Leal-Taixe, I. Reid, S. Roth, and K. Schindler.
arXiv:1603.00831,
2016.
[pdf]
[challenge]
|
|
Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes.
Dirk Klostermann, Aljosa Osep, Joerg Stueckler, and Bastian Leibe.
British Machine Vision Conference (BMVC),
2016.
[pdf]
|
|
Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes.
Deyvid Kochanov, Aljosa Osep, Joerg Stueckler, and Bastian Leibe.
International Conference on Intelligent Robots and Systems (IROS),
2016.
[pdf]
|
|
Multi-Scale Object Candidates for Generic Object Tracking in Street Scenes.
Aljosa Osep, Alexander Hermans, Francis Engelmann, Dirk Klostermann, Markus Mathias, and Bastian Leibe.
International Conference on Robotics and Automation (ICRA),
2016.
[pdf]
|
|
2015
|
Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors.
M. Fenzi, L. Leal-Taixe, J. Ostermann, and T. Tuytelaars.
IEEE International Conference on Computer Vision (ICCV),
2015.
[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.
[pdf]
[code]
|
|
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking.
L. Leal-Taixe, A. Milan, I. Reid, S. Roth, and K. Schindler.
arXiv:1504.01942,
2015.
[pdf]
[challenge]
|
|
Automatic tracking of vessel-like structures from a single starting point.
D.A.B. Oliveria, L. Leal-Taixe, R.Q. Feitosa, and B. Rosenhahn.
Computerized Medical Imaging and Graphics,
2015.
[pdf]
|
|
Pose Estimation of Object Categories in Videos Using Linear Programming.
M. Fenzi, L. Leal-Taixe, K. Schindler, and B. Rosenhahn.
IEEE Winter Conference on Applications of Computer Vision (WACV),
2015.
[pdf]
|
|
A Fixed-Dimensional 3D Shape Representation for Matching Partially Observed Objects in Street Scenes.
Dennis Mitzel, Jasper Diesel, Aljosa Osep, Umer Rafi, and Bastian Leibe.
International Conference on Robotics and Automation (ICRA),
2015.
[pdf]
|
|
2014
|
Efficient multiple people tracking using minimum cost arborescences.
R. Henschel, L. Leal-Taixe, and B. Rosenhahn.
German Conference on Pattern Recognition (GCPR),
2014.
[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.
[pdf]
[code]
|
|
Multiple object tracking with context awareness.
L. Leal-Taixe.
PhD Thesis,
2014.
[pdf]
|
|
2013
|
Class generative models based on feature regression for pose estimation of object categories.
M. Fenzi, L. Leal-Taixe, B. Rosenhahn, and J. Ostermann.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
2013.
[pdf]
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Real-time sign language recognition using a consumer depth camera.
A. Kuznetsova, L. Leal-Taixe, and B. Rosenhahn.
IEEE International Conference on Computer Vision (ICCV) Workshops. 3rd Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV),
2013.
[pdf]
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Pedestrian interaction in tracking: the social force model and global optimization methods.
L. Leal-Taixe and B. Rosenhahn.
Modeling, Simulation and Visual Analysis of Crowds: A multidisciplinary perspective,
Springer Berlin Heidelberg,
2013.
[pdf]
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Multi-View Normal Field Integration for 3D Reconstruction of Mirroring Objects.
Michael Weinmann, Aljosa Osep, Roland Ruiters, and Reinhard Klein.
International Conference on Computer Vision (ICCV),
2013.
[pdf]
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2012
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3D Object Recognition and Pose Estimation for Multiple Objects using Multi-Prioritized RANSAC and Model Updating.
M. Fenzi, R. Dragon, L. Leal-Taixe, B. Rosenhahn, and J. Ostermann.
German Conference on Pattern Recognition (GCPR),
2012.
[pdf]
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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.
[pdf]
[code]
[poster]
[video]
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Outdoor and Large-Scale Real-World Scene Analysis.
F. Dellaert, J.-M. Frahm, M. Pollefeys, L. Leal-Taixe, and B. Rosenhahn.
Springer Berlin Heidelberg,
2012.
[pdf]
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Exploiting pedestrian interaction via global optimization and social behaviors.
L. Leal-Taixe, G. Pons-Moll, and B. Rosenhahn.
Outdoor and Large-Scale Real-World Scene Analysis,
Springer Berlin Heidelberg,
2012.
[pdf]
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Three dimensional tracking of exploratory behavior of barnacle cyprids using stereoscopy.
S. Maleschlijski, G. H. Sendra, A. Di Fino, L. Leal-Taixe, I. Thome, A. Terfort, N. Aldred, M. Grunze, A. S. Clare, B. Rosenhahn, and A. Rosenhahn.
Biointerphases,
2012.
[pdf]
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Data-driven Manifolds for Outdoor Motion Capture.
G. Pons-Moll, L. Leal-Taixe, J. Gall, and B. Rosenhahn.
Outdoor and Large-Scale Real-World Scene Analysis,
Springer Berlin Heidelberg,
2012.
[pdf]
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Fusing Structured Light Consistency and Helmholtz Normals for 3D Reconstruction.
Michael Weinmann, Roland Ruiters, Aljosa Osep, Christopher Schwartz, and Reinhard Klein.
British Machine Vision Conference (BMVC),
2012.
[pdf]
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2011
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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.
[pdf]
[code]
[video]
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A stereoscopic approach for three dimensional tracking of marine biofouling microorganisms.
S. Maleschlijski, L. Leal-Taixe, S. Weisse, A. Di Fino, N. Aldred, A. S. Clare, G. H. Sendra, B. Rosenhahn, and A. Rosenhahn.
Microscopic Image Analysis with Applications in Biology (MIAAB),
2011.
[pdf]
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Efficient and robust shape matching for model based human motion capture.
G. Pons-Moll, L. Leal-Taixe, T. Truong, and B. Rosenhahn.
German Conference on Pattern Recognition (GCPR),
2011.
[pdf]
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Outdoor human motion capture using inverse kinematics and von Mises-Fisher sampling.
G. Pons-Moll, A. Baak, J. Gall, L. Leal-Taixe, M. Mueller, H.-P.Seidel, and B. Rosenhahn.
IEEE International Conference on Computer Vision (ICCV),
2011.
[pdf]
[supplementary]
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Understanding what we cannot see: automatic analysis of 4D digital in-line holographic microscopy data.
L. Leal-Taixe, M. Heydt, A. Rosenhahn, and B. Rosenhahn.
Video Processing and Computational Video,
Springer Berlin Heidelberg,
2011.
[pdf]
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2010
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Classification of swimming microorganisms motion patterns in 4D digital in-line holography data.
L. Leal-Taixe, M. Heydt, S. Weisse, A. Rosenhahn, and B. Rosenhahn.
German Conference on Pattern Recognition (GCPR),
2010.
[pdf]
[video]
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2009
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Automatic tracking of swimming microorganisms in 4D digital in-line holography data.
L. Leal-Taixe, M. Heydt, A. Rosenhahn, and B. Rosenhahn.
IEEE Workshops on Motion and Video Computing (WMVC),
2009.
[pdf]
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Automatic segmentation of multi-stain histology images of arteries.
L. Leal-Taixe.
Master Thesis,
2009.
[pdf]
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Automatic segmentation of arteries in multi-stain histology images.
L. Leal-Taixe, A. U. Coskun, B. Rosenhahn, and D. Brooks.
World Congress on Medical Physics and Biomedical Engineering,
2009.
[pdf]
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