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]
|
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DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space.
Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressutti, Grega Milcinski, Nicolas Longépé, Pierre-Philippe Mathieu, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, and Xiao Xiang Zhu.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks,
2021.
[pdf]
[code]
|
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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]
|
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MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction.
Patrick Dendorfer*, Sven Elflein*, and Laura Leal-Taixé.
International Conference on Computer Vision (ICCV),
2021.
[pdf]
[code]
[Project Page]
|
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(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]
|
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MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?.
Matteo Fabbri, Guillem Braso, Gianluca Maugeri, Aljosa Osep, Riccardo Gasparini, Orcun Cetintas, Simone Calderara, Laura Leal-Taixe, and Rita Cucchiara.
International Conference on Computer Vision (ICCV),
2021.
[pdf]
[Project Page]
|
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Opening up Open-World Tracking.
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, and Laura Leal-Taixe.
arxiv preprint arXiv:2104.11221,
2021.
[pdf]
[code]
|
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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]
|
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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]
|
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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]
|
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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]
|
|
Learning Intra-Batch Connections for Deep Metric Learning.
Jenny Seidenschwarz, Ismail Elezi, and Laura Leal-Taixe.
International Conference on Machine Learning (ICML),
2021.
[pdf]
|
|
2020
|
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]
|
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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]
|
|
Single-shot Panoptic Segmentation.
Mark Weber, Jonathon Luiten, and Bastian Leibe.
International Conference on Intelligent Robots and Systems (IROS),
2020.
[pdf]
|
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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]
|
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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]
|
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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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
ID-Reveal: Identity-aware DeepFake Video Detection.
Davide Cozzolino, Andreas Roessler, Justus Thies, Matthias Niessner, and Luisa Verdoliva.
arXiv,
2020.
[pdf]
[Project Page]
|
|
Exploiting Contextual Information with Deep Neural Networks.
Ismail Elezi.
PhD Thesis,
2020.
[pdf]
|
|
2019
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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,
2019.
[pdf]
|
|
FaceForensics++: Learning to Detect Manipulated Facial Images.
Andreas Roessler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Niessner.
ICCV,
2019.
[pdf]
[Project Page]
|
|
SpoC: Spoofing camera fingerprints.
Davide Cozzolino, Justus Thies, Andreas Roessler, Matthias Niessner, and Luisa Verdoliva.
arXiv,
2019.
[pdf]
[Project Page]
|
|
2018
|
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]
|
|
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]
|
|
Deep Depth from Focus.
C. Hazirbas, L. Leal-Taixe, and D. Cremers.
Asian Conference in Computer Vision (ACCV),
2018.
[pdf]
[challenge]
|
|
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]
|
|
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]
|
|
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]
|
|
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection.
Davide Cozzolino, Justus Thies, Andreas Rössler, Christian Riess, Matthias Nießner, and Luisa Verdoliva.
arXiv,
2018.
[pdf]
[Project Page]
|
|
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces.
Andreas Roessler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Niessner.
arXiv,
2018.
[pdf]
[Project Page]
|
|
Deep Watershed Detector for Music Object Recognition.
Lukas Tuggener, Ismail Elezi, J{\"{u}}rgen Schmidhuber, and Thilo Stadelmann.
International Society for Music Information Retrieval Conference (ISMIR),
2018.
[pdf]
|
|
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Object.
Lukas Tuggener, Ismail Elezi, J{\"{u}}rgen Schmidhuber, Marcello Pelillo, and Thilo Stadelmann.
International Conference on Pattern Recognition (ICPR),
2018.
[pdf]
|
|
Transductive Label Augmentation for Improved Deep Network Learning.
Ismail Elezi*, Alessandro Torcinovich*, Sebastiano Vascon*, and Marcello Pelillo (* equal contribution).
International Conference on Pattern Recognition (ICPR),
2018.
[pdf]
|
|
Deep Learning in the Wild.
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert Fran{\c{c}}ois Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan L{\"{o}}rwald, Benjamin Bruno Meier, Katharina Rombach, and Lukas Tuggener.
Artificial Neural Networks in Pattern Recognition (ANNPR),
2018.
[pdf]
|
|
Learning Neural Models for End-to-End Clustering.
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver D{\"{u}}rr, and Thilo Stadelmann.
Artificial Neural Networks in Pattern Recognition (ANNPR),
2018.
[pdf]
|
|
DeepScores and Deep Watershed Detection: current state and open issues.
Ismail Elezi*, Lukas Tuggener*, Marcello Pelillo, and Thilo Stadelmann (* equal contribution).
International Society for Music Information Retrieval Conference Workshops (ISMIRW),
2018.
[pdf]
|
|
2017
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
Revealing structure in large graphs: Szemer\'edi's regularity lemma and its use in pattern recognition.
Marcello Pelillo, Ismail Elezi, and Marco Fiorucci.
Pattern Recognit. Lett.,
2017.
[pdf]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
2012
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
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]
|
|
2011
|
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]
|
|
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]
|
|
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]
|
|
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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