Lidar Panoptic Segmentation in an Open World - Anirudh Srinivasan Chakravarthy; Meghana Reddy Ganesina; Peiyun Hu; Laura Leal-Taixé; Shu Kong; Deva Ramanan; Aljosa Osep (Int. J. Comput. Vis., 2025)

Cosmos World Foundation Model Platform for Physical AI - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Light3R-SfM: Towards Feed-forward Structure-from-Motion - Sven Elflein; Qunjie Zhou; Sérgio Agostinho; Laura Leal-Taixé (CoRR, 2025)

MATCHA:Towards Matching Anything - Fei Xue; Sven Elflein; Laura Leal-Taixé; Qunjie Zhou (CoRR, 2025)

SeMoLi: What Moves Together Belongs Together - Jenny Seidenschwarz; Aljosa Osep; Francesco Ferroni; Simon Lucey; Laura Leal-Taixé (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation - Aysim Toker; Marvin Eisenberger; Daniel Cremers; Laura Leal-Taixé (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

Better Call SAL: Towards Learning to Segment Anything in Lidar - Aljosa Osep; Tim Meinhardt; Francesco Ferroni; Neehar Peri; Deva Ramanan; Laura Leal-Taixé (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIX, 2024)

The NeRFect Match: Exploring NeRF Features for Visual Localization - Qunjie Zhou; Maxim Maximov; Or Litany; Laura Leal-Taixé (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXIV, 2024)

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation - Linyan Yang; Lukas Hoyer; Mark Weber; Tobias Fischer; Dengxin Dai; Laura Leal-Taixé; Marc Pollefeys; Daniel Cremers; Luc Van Gool (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXXIX, 2024)

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow - Orcun Cetintas; Tim Meinhardt; Guillem Brasó; Laura Leal-Taixé (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XII, 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 (18th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2024, Istanbul, Turkey, May 27-31, 2024, 2024)

SeMoLi: What Moves Together Belongs Together - Jenny Seidenschwarz; Aljosa Osep; Francesco Ferroni; Simon Lucey; Laura Leal-Taixé (CoRR, 2024)

The NeRFect Match: Exploring NeRF Features for Visual Localization - Qunjie Zhou; Maxim Maximov; Or Litany; Laura Leal-Taixé (CoRR, 2024)

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

SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation - Aysim Toker; Marvin Eisenberger; Daniel Cremers; Laura Leal-Taixé (CoRR, 2024)

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

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation - Linyan Yang; Lukas Hoyer; Mark Weber; Tobias Fischer; Dengxin Dai; Laura Leal-Taixé; Marc Pollefeys; Daniel Cremers; Luc Van Gool (CoRR, 2024)

DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction - Jenny Seidenschwarz; Qunjie Zhou; Bardienus Pieter Duisterhof; Deva Ramanan; Laura Leal-Taixé (CoRR, 2024)

Lidar Panoptic Segmentation in an Open World - Anirudh Srinivasan Chakravarthy; Meghana Reddy Ganesina; Peiyun Hu; Laura Leal-Taixé; Shu Kong; Deva Ramanan; Aljosa Osep (CoRR, 2024)

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

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; Laura Leal-Taixé (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Staged Contact-Aware Global Human Motion Forecasting - Luca Scofano; Alessio Sampieri; Elisabeth Schiele; Edoardo De Matteis; Laura Leal-Taixé; Fabio Galasso (34th British Machine Vision Conference 2023, BMVC 2023, Aberdeen, UK, November 20-24, 2023, 2023)

Simple Cues Lead to a Strong Multi-Object Tracker - Jenny Seidenschwarz; Guillem Brasó; Victor Castro Serrano; Ismail Elezi; Laura Leal-Taixé (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Soft Augmentation for Image Classification - Yang Liu; Shen Yan; Laura Leal-Taixé; James Hays; Deva Ramanan (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Unifying Short and Long-Term Tracking with Graph Hierarchies - Orcun Cetintas; Guillem Brasó; Laura Leal-Taixé (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023, Vancouver, BC, Canada, June 17-24, 2023, 2023)

Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation - Cristiano Saltori; Aljosa Osep; Elisa Ricci; Laura Leal-Taixé (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Lidar Panoptic Segmentation and Tracking without Bells and Whistles - Abhinav Agarwalla; Xuhua Huang; Jason Ziglar; Francesco Ferroni; Laura Leal-Taixé; James Hays; Aljosa Osep; Deva Ramanan (IROS, 2023)

Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation - Cristiano Saltori; Aljosa Osep; Elisa Ricci; Laura Leal-Taixé (CoRR, 2023)

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)

Staged Contact-Aware Global Human Motion Forecasting - Luca Scofano; Alessio Sampieri; Elisabeth Schiele; Edoardo De Matteis; Laura Leal-Taixé; Fabio Galasso (CoRR, 2023)

Lidar Panoptic Segmentation and Tracking without Bells and Whistles - Abhinav Agarwalla; Xuhua Huang; Jason Ziglar; Francesco Ferroni; Laura Leal-Taixé; James Hays; Aljosa Osep; Deva Ramanan (CoRR, 2023)

Multi-Object Tracking and Segmentation Via Neural Message Passing - Guillem Brasó; Orcun Cetintas; Laura Leal-Taixé (Int. J. Comput. Vis., 2022)

Learn to Predict Sets Using Feed-Forward Neural Networks - Hamid Rezatofighi; Tianyu Zhu; Roman Kaskman; Farbod T. Motlagh; Javen Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles - Lucas Nunes; Xieyuanli Chen; Rodrigo Marcuzzi; Aljosa Osep; Laura Leal-Taixé; Cyrill Stachniss; Jens Behley (IEEE Robotics Autom. Lett., 2022)

Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images - Lukas Kondmann; Aysim Toker; Sudipan Saha; Bernhard Schölkopf; Laura Leal-Taixé; Xiao Xiang Zhu (IEEE Trans. Geosci. Remote. Sens., 2022)

Decoupling Identity and Visual Quality for Image and Video Anonymization - Maxim Maximov; Ismail Elezi; Laura Leal-Taixé (Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VI, 2022)

A Unified Framework for Implicit Sinkhorn Differentiation - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Florian Bernard; Daniel Cremers (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization - Manuel Kolmet; Qunjie Zhou; Aljosa Osep; Laura Leal-Taixé (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

TrackFormer: Multi-Object Tracking with Transformers - Tim Meinhardt; Alexander Kirillov; Laura Leal-Taixé; Christoph Feichtenhofer (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection - Ismail Elezi; Zhiding Yu; Anima Anandkumar; Laura Leal-Taixé; José M. Álvarez (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Forecasting from LiDAR via Future Object Detection - Neehar Peri; Jonathon Luiten; Mengtian Li; Aljosa Osep; Laura Leal-Taixé; Deva Ramanan (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

Opening up Open World Tracking - Yang Liu; Idil Esen Zulfikar; Jonathon Luiten; Achal Dave; Deva Ramanan; Bastian Leibe; Aljosa Osep; Laura Leal-Taixé (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation - 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; et al. (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, 2022)

PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking? - Aleksandr Kim; Guillem Brasó; Aljosa Osep; Laura Leal-Taixé (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XXII, 2022)

Is Geometry Enough for Matching in Visual Localization? - Qunjie Zhou; Sérgio Agostinho; Aljosa Osep; Laura Leal-Taixé (Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part X, 2022)

DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment - Mariia Gladkova; Nikita Korobov; Nikolaus Demmel; Aljosa Osep; Laura Leal-Taixé; Daniel Cremers (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes - Peter Kocsis; Peter Súkeník; Guillem Brasó; Matthias Nießner; Laura Leal-Taixé; Ismail Elezi (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? - Patrick Dendorfer; Vladimir Yugay; Aljosa Osep; Laura Leal-Taixé (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Learning to Discover and Detect Objects - Vladimir Fomenko; Ismail Elezi; Deva Ramanan; Laura Leal-Taixé; Aljosa Osep (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation - 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; et al. (CoRR, 2022)

Is Geometry Enough for Matching in Visual Localization? - Qunjie Zhou; Sérgio Agostinho; Aljosa Osep; Laura Leal-Taixé (CoRR, 2022)

Text2Pos: Text-to-Point-Cloud Cross-Modal Localization - Manuel Kolmet; Qunjie Zhou; Aljosa Osep; Laura Leal-Taixé (CoRR, 2022)

Forecasting from LiDAR via Future Object Detection - Neehar Peri; Jonathon Luiten; Mengtian Li; Aljosa Osep; Laura Leal-Taixé; Deva Ramanan (CoRR, 2022)

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; Laura Leal-Taixé (CoRR, 2022)

A Unified Framework for Implicit Sinkhorn Differentiation - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Florian Bernard; Daniel Cremers (CoRR, 2022)

Simple Cues Lead to a Strong Multi-Object Tracker - Jenny Seidenschwarz; Guillem Brasó; Ismail Elezi; Laura Leal-Taixé (CoRR, 2022)

Multi-Object Tracking and Segmentation via Neural Message Passing - Guillem Brasó; Orcun Cetintas; Laura Leal-Taixé (CoRR, 2022)

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

PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? - Aleksandr Kim; Guillem Brasó; Aljosa Osep; Laura Leal-Taixé (CoRR, 2022)

DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment - Mariia Gladkova; Nikita Korobov; Nikolaus Demmel; Aljosa Osep; Laura Leal-Taixé; Daniel Cremers (CoRR, 2022)

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes - Peter Kocsis; Peter Súkeník; Guillem Brasó; Matthias Nießner; Laura Leal-Taixé; Ismail Elezi (CoRR, 2022)

Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? - Patrick Dendorfer; Vladimir Yugay; Aljosa Osep; Laura Leal-Taixé (CoRR, 2022)

Learning to Discover and Detect Objects - Vladimir Fomenko; Ismail Elezi; Deva Ramanan; Laura Leal-Taixé; Aljosa Osep (CoRR, 2022)

Soft Augmentation for Image Classification - Yang Liu; Shen Yan; Laura Leal-Taixé; James Hays; Deva Ramanan (CoRR, 2022)

G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (CoRR, 2022)

Unifying Short and Long-Term Tracking with Graph Hierarchies - Orcun Cetintas; Guillem Brasó; Laura Leal-Taixé (CoRR, 2022)

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking - Jonathon Luiten; Aljosa Osep; Patrick Dendorfer; Philip H. S. Torr; Andreas Geiger; Laura Leal-Taixé; Bastian Leibe (Int. J. Comput. Vis., 2021)

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking - Patrick Dendorfer; Aljosa Osep; Anton Milan; Konrad Schindler; Daniel Cremers; Ian Reid; Stefan Roth; Laura Leal-Taixé (Int. J. Comput. Vis., 2021)

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences - Qunjie Zhou; Torsten Sattler; Laura Leal-Taixé (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

4D Panoptic LiDAR Segmentation - Mehmet Aygun; Aljosa Osep; Mark Weber; Maxim Maximov; Cyrill Stachniss; Jens Behley; Laura Leal-Taixé (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization - Aysim Toker; Qunjie Zhou; Maxim Maximov; Laura Leal-Taixé (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021, 2021)

(Just) A Spoonful of Refinements Helps the Registration Error Go Down - Sérgio Agostinho; Aljosa Osep; Alessio Del Bue; Laura Leal-Taixé (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? - Matteo Fabbri; Guillem Brasó; Gianluca Maugeri; Orcun Cetintas; Riccardo Gasparini; Aljosa Osep; Simone Calderara; Laura Leal-Taixé; Rita Cucchiara (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation - Guillem Brasó; Nikita Kister; Laura Leal-Taixé (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction - Patrick Dendorfer; Sven Elflein; Laura Leal-Taixé (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings - Ali Athar; Sabarinath Mahadevan; Aljosa Osep; Laura Leal-Taixé; Bastian Leibe (IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, QC, Canada, October 11-17, 2021, 2021)

Learning Intra-Batch Connections for Deep Metric Learning - Jenny Denise Seidenschwarz; Ismail Elezi; Laura Leal-Taixé (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

EagerMOT: 3D Multi-Object Tracking via Sensor Fusion - Aleksandr Kim; Aljosa Osep; Laura Leal-Taixé (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning - Patrick Wenzel; Torsten Schön; Laura Leal-Taixé; Daniel Cremers (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 2021)

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; Pierre-Philippe Mathieu; Nicolas Longépé; Timothy Davis; Giovanni Marchisio; Laura Leal-Taixé; Xiaoxiang Zhu (Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021)

STEP: Segmenting and Tracking Every Pixel - 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; et al. (Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, 2021)

TrackFormer: Multi-Object Tracking with Transformers - Tim Meinhardt; Alexander Kirillov; Laura Leal-Taixé; Christoph Feichtenhofer (CoRR, 2021)

Learning Intra-Batch Connections for Deep Metric Learning - Jenny Seidenschwarz; Ismail Elezi; Laura Leal-Taixé (CoRR, 2021)

STEP: Segmenting and Tracking Every Pixel - 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; et al. (CoRR, 2021)

4D Panoptic LiDAR Segmentation - Mehmet Aygün; Aljosa Osep; Mark Weber; Maxim Maximov; Cyrill Stachniss; Jens Behley; Laura Leal-Taixé (CoRR, 2021)

Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning - Patrick Wenzel; Torsten Schön; Laura Leal-Taixé; Daniel Cremers (CoRR, 2021)

Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization - Aysim Toker; Qunjie Zhou; Maxim Maximov; Laura Leal-Taixé (CoRR, 2021)

Opening up Open-World Tracking - Yang Liu; Idil Esen Zulfikar; Jonathon Luiten; Achal Dave; Aljosa Osep; Deva Ramanan; Bastian Leibe; Laura Leal-Taixé (CoRR, 2021)

EagerMOT: 3D Multi-Object Tracking via Sensor Fusion - Aleksandr Kim; Aljosa Osep; Laura Leal-Taixé (CoRR, 2021)

The 2021 Image Similarity Dataset and Challenge - 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 (CoRR, 2021)

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-Taixé; Alan L. Yuille; et al. (CoRR, 2021)

Towards Reducing Labeling Cost in Deep Object Detection - Ismail Elezi; Zhiding Yu; Anima Anandkumar; Laura Leal-Taixé; José M. Álvarez (CoRR, 2021)

(Just) A Spoonful of Refinements Helps the Registration Error Go Down - Sérgio Agostinho; Aljosa Osep; Alessio Del Bue; Laura Leal-Taixé (CoRR, 2021)

MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction - Patrick Dendorfer; Sven Elflein; Laura Leal-Taixé (CoRR, 2021)

MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? - Matteo Fabbri; Guillem Brasó; Gianluca Maugeri; Orcun Cetintas; Riccardo Gasparini; Aljosa Osep; Simone Calderara; Laura Leal-Taixé; Rita Cucchiara (CoRR, 2021)

Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images - Lukas Kondmann; Aysim Toker; Sudipan Saha; Bernhard Schölkopf; Laura Leal-Taixé; Xiaoxiang Zhu (CoRR, 2021)

The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation - Guillem Brasó; Nikita Kister; Laura Leal-Taixé (CoRR, 2021)

Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning - Manu Tom; Rajanie Prabha; Tianyu Wu; Emmanuel Baltsavias; Laura Leal-Taixé; Konrad Schindler (Remote. Sens., 2020)

Learning temporal coherence via self-supervision for GAN-based video generation - Mengyu Chu; You Xie; Jonas Mayer; Laura Leal-Taixé; Nils Thuerey (ACM Trans. Graph., 2020)

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation - Patrick Dendorfer; Aljosa Osep; Laura Leal-Taixé (Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II, 2020)

Making a Case for 3D Convolutions for Object Segmentation in Videos - Sabarinath Mahadevan; Ali Athar; Aljosa Osep; Laura Leal-Taixé; Bastian Leibe; Sebastian Hennen (31st British Machine Vision Conference 2020, BMVC 2020, Virtual Event, UK, September 7-10, 2020, 2020)

Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation - Maxim Maximov; Kevin Galim; Laura Leal-Taixé (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks - Maxim Maximov; Ismail Elezi; Laura Leal-Taixé (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

Learning a Neural Solver for Multiple Object Tracking - Guillem Brasó; Laura Leal-Taixé (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

How to Train Your Deep Multi-Object Tracker - Yihong Xu; Aljosa Osep; Yutong Ban; Radu Horaud; Laura Leal-Taixé; Xavier Alameda-Pineda (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020, 2020)

STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos - Ali Athar; Sabarinath Mahadevan; Aljosa Osep; Laura Leal-Taixé; Bastian Leibe (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XI, 2020)

The Group Loss for Deep Metric Learning - Ismail Elezi; Sebastiano Vascon; Alessandro Torcinovich; Marcello Pelillo; Laura Leal-Taixé (Computer Vision - ECCV 2020 - 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part VII, 2020)

To Learn or Not to Learn: Visual Localization from Essential Matrices - Qunjie Zhou; Torsten Sattler; Marc Pollefeys; Laura Leal-Taixé (2020 IEEE International Conference on Robotics and Automation, ICRA 2020, Paris, France, May 31 - August 31, 2020, 2020)

Planning from Images with Deep Latent Gaussian Process Dynamics - Nathanael Bosch; Jan Achterhold; Laura Leal-Taixé; Jörg Stückler (Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020, 2020)

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

Make One-Shot Video Object Segmentation Efficient Again - Tim Meinhardt; Laura Leal-Taixé (Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual, 2020)

HistoNet: Predicting size histograms of object instances - Kishan Sharma; Moritz Gold; Christian Zurbruegg; Laura Leal-Taixé; Jan Dirk Wegner (IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, 2020)

Learn to Predict Sets Using Feed-Forward Neural Networks - Hamid Rezatofighi; Roman Kaskman; Farbod T. Motlagh; Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid (CoRR, 2020)

Lake Ice Monitoring with Webcams and Crowd-Sourced Images - Rajanie Prabha; Manu Tom; Mathias Rothermel; Emmanuel Baltsavias; Laura Leal-Taixé; Konrad Schindler (CoRR, 2020)

STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos - Ali Athar; Sabarinath Mahadevan; Aljosa Osep; Laura Leal-Taixé; Bastian Leibe (CoRR, 2020)

MOT20: A benchmark for multi object tracking in crowded scenes - Patrick Dendorfer; Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid; Stefan Roth; Konrad Schindler; Laura Leal-Taixé (CoRR, 2020)

Planning from Images with Deep Latent Gaussian Process Dynamics - Nathanael Bosch; Jan Achterhold; Laura Leal-Taixé; Jörg Stückler (CoRR, 2020)

CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks - Maxim Maximov; Ismail Elezi; Laura Leal-Taixé (CoRR, 2020)

Focus on defocus: bridging the synthetic to real domain gap for depth estimation - Maxim Maximov; Kevin Galim; Laura Leal-Taixé (CoRR, 2020)

Making a Case for 3D Convolutions for Object Segmentation in Videos - Sabarinath Mahadevan; Ali Athar; Aljosa Osep; Sebastian Hennen; Laura Leal-Taixé; Bastian Leibe (CoRR, 2020)

HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking - Jonathon Luiten; Aljosa Osep; Patrick Dendorfer; Philip H. S. Torr; Andreas Geiger; Laura Leal-Taixé; Bastian Leibe (CoRR, 2020)

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation - Patrick Dendorfer; Aljosa Osep; Laura Leal-Taixé (CoRR, 2020)

MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking - Patrick Dendorfer; Aljosa Osep; Anton Milan; Konrad Schindler; Daniel Cremers; Ian D. Reid; Stefan Roth; Laura Leal-Taixé (CoRR, 2020)

Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning - Manu Tom; Rajanie Prabha; Tianyu Wu; Emmanuel Baltsavias; Laura Leal-Taixé; Konrad Schindler (CoRR, 2020)

Deep Shells: Unsupervised Shape Correspondence with Optimal Transport - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Daniel Cremers (CoRR, 2020)

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

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences - Qunjie Zhou; Torsten Sattler; Laura Leal-Taixé (CoRR, 2020)

Video Object Segmentation without Temporal Information - Kevis-Kokitsi Maninis; Sergi Caelles; Yuhua Chen; Jordi Pont-Tuset; Laura Leal-Taixé; Daniel Cremers; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Understanding the Limitations of CNN-Based Absolute Camera Pose Regression - Torsten Sattler; Qunjie Zhou; Marc Pollefeys; Laura Leal-Taixé (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019, 2019)

Tracking Without Bells and Whistles - Philipp Bergmann; Tim Meinhardt; Laura Leal-Taixé (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Deep Appearance Maps - Maxim Maximov; Tobias Ritschel; Laura Leal-Taixé; Mario Fritz (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Towards Generalizing Sensorimotor Control Across Weather Conditions - Qadeer Khan; Patrick Wenzel; Daniel Cremers; Laura Leal-Taixé (2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, Macau, SAR, China, November 3-8, 2019, 2019)

Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I - Laura Leal-Taixé; Stefan Roth (Springer, 2019)

Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part II - Laura Leal-Taixé; Stefan Roth (Springer, 2019)

Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III - Laura Leal-Taixé; Stefan Roth (Springer, 2019)

Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part IV - Laura Leal-Taixé; Stefan Roth (Springer, 2019)

Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part V - Laura Leal-Taixé; Stefan Roth (Springer, 2019)

Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part VI - Laura Leal-Taixé; Stefan Roth (Springer, 2019)

Tracking without bells and whistles - Philipp Bergmann; Tim Meinhardt; Laura Leal-Taixé (CoRR, 2019)

Understanding the Limitations of CNN-based Absolute Camera Pose Regression - Torsten Sattler; Qunjie Zhou; Marc Pollefeys; Laura Leal-Taixé (CoRR, 2019)

CVPR19 Tracking and Detection Challenge: How crowded can it get? - Patrick Dendorfer; Seyed Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid; Stefan Roth; Konrad Schindler; Laura Leal-Taixé (CoRR, 2019)

Towards Generalizing Sensorimotor Control Across Weather Conditions - Qadeer Khan; Patrick Wenzel; Daniel Cremers; Laura Leal-Taixé (CoRR, 2019)

To Learn or Not to Learn: Visual Localization from Essential Matrices - Qunjie Zhou; Torsten Sattler; Marc Pollefeys; Laura Leal-Taixé (CoRR, 2019)

The Group Loss for Deep Metric Learning - Ismail Elezi; Sebastiano Vascon; Alessandro Torcinovich; Marcello Pelillo; Laura Leal-Taixé (CoRR, 2019)

HistoNet: Predicting size histograms of object instances - Kishan Sharma; Moritz Gold; Christian Zurbruegg; Laura Leal-Taixé; Jan Dirk Wegner (CoRR, 2019)

Learning a Neural Solver for Multiple Object Tracking - Guillem Brasó; Laura Leal-Taixé (CoRR, 2019)

Deep Depth from Focus - Caner Hazirbas; Sebastian Georg Soyer; Maximilian Christian Staab; Laura Leal-Taixé; Daniel Cremers (Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2-6, 2018, Revised Selected Papers, Part III, 2018)

Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs - Patrick Wenzel; Qadeer Khan; Daniel Cremers; Laura Leal-Taixé (2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings, 2018)

Fusion of Head and Full-Body Detectors for Multi-Object Tracking - Roberto Henschel; Laura Leal-Taixé; Daniel Cremers; Bodo Rosenhahn (2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs - Emanuel Laude; Jan-Hendrik Lange; Jonas Schüpfer; Csaba Domokos; Laura Leal-Taixé; Frank R. Schmidt; Bjoern Andres; Daniel Cremers (2018 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

Lifting Layers: Analysis and Applications - Peter Ochs; Tim Meinhardt; Laura Leal-Taixé; Michael Möller (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I, 2018)

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

Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks - Seyed Hamid Rezatofighi; Roman Kaskman; Farbod T. Motlagh; Qinfeng Shi; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid (CoRR, 2018)

Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs - Patrick Wenzel; Qadeer Khan; Daniel Cremers; Laura Leal-Taixé (CoRR, 2018)

Temporally Coherent GANs for Video Super-Resolution (TecoGAN) - Mengyu Chu; You Xie; Laura Leal-Taixé; Nils Thuerey (CoRR, 2018)

One-Shot Video Object Segmentation - Sergi Caelles; Kevis-Kokitsi Maninis; Jordi Pont-Tuset; Laura Leal-Taixé; Daniel Cremers; Luc Van Gool (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

Image-Based Localization Using LSTMs for Structured Feature Correlation - Florian Walch; Caner Hazirbas; Laura Leal-Taixé; Torsten Sattler; Sebastian Hilsenbeck; Daniel Cremers (IEEE International Conference on Computer Vision, ICCV 2017, Venice, Italy, October 22-29, 2017, 2017)

Deep Depth From Focus - Caner Hazirbas; Laura Leal-Taixé; Daniel Cremers (CoRR, 2017)

Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking - Laura Leal-Taixé; Anton Milan; Konrad Schindler; Daniel Cremers; Ian D. Reid; Stefan Roth (CoRR, 2017)

Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking - Roberto Henschel; Laura Leal-Taixé; Daniel Cremers; Bodo Rosenhahn (CoRR, 2017)

Automatic tracking of vessel-like structures from a single starting point - Dário Augusto Borges Oliveira; Laura Leal-Taixé; Raul Queiroz Feitosa; Bodo Rosenhahn (CoRR, 2017)

Video Object Segmentation Without Temporal Information - Kevis-Kokitsi Maninis; Sergi Caelles; Yuhua Chen; Jordi Pont-Tuset; Laura Leal-Taixé; Daniel Cremers; Luc Van Gool (CoRR, 2017)

Deep Learning for Computer Vision (Dagstuhl Seminar 17391) - Daniel Cremers; Laura Leal-Taixé; René Vidal (Dagstuhl Reports, 2017)

Automatic tracking of vessel-like structures from a single starting point - Dário Augusto Borges Oliveira; Laura Leal-Taixé; Raul Queiroz Feitosa; Bodo Rosenhahn (Comput. Medical Imaging Graph., 2016)

Learning by Tracking: Siamese CNN for Robust Target Association - Laura Leal-Taixé; Cristian Canton-Ferrer; Konrad Schindler (2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2016, Las Vegas, NV, USA, June 26 - July 1, 2016, 2016)

MOT16: A Benchmark for Multi-Object Tracking - Anton Milan; Laura Leal-Taixé; Ian D. Reid; Stefan Roth; Konrad Schindler (CoRR, 2016)

Learning by tracking: Siamese CNN for robust target association - Laura Leal-Taixé; Cristian Canton-Ferrer; Konrad Schindler (CoRR, 2016)

Tracking with multi-level features - Roberto Henschel; Laura Leal-Taixé; Bodo Rosenhahn; Konrad Schindler (CoRR, 2016)

One-Shot Video Object Segmentation - Sergi Caelles; Kevis-Kokitsi Maninis; Jordi Pont-Tuset; Laura Leal-Taixé; Daniel Cremers; Luc Van Gool (CoRR, 2016)

Image-based Localization with Spatial LSTMs - Florian Walch; Caner Hazirbas; Laura Leal-Taixé; Torsten Sattler; Sebastian Hilsenbeck; Daniel Cremers (CoRR, 2016)

Joint tracking and segmentation of multiple targets - Anton Milan; Laura Leal-Taixé; Konrad Schindler; Ian D. Reid (IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015, Boston, MA, USA, June 7-12, 2015, 2015)

Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors - Michele Fenzi; Laura Leal-Taixé; Jörn Ostermann; Tinne Tuytelaars (2015 IEEE International Conference on Computer Vision, ICCV 2015, Santiago, Chile, December 7-13, 2015, 2015)

Solving Multiple People Tracking in a Minimum Cost Arborescence - Roberto Henschel; Laura Leal-Taixé; Bodo Rosenhahn (2015 IEEE Winter Conference on Applications of Computer Vision Workshops, WACV Workshops 2015, Waikoloa, HI, USA, January 6-9, 2015, 2015)

Pose Estimation of Object Categories in Videos Using Linear Programming - Michele Fenzi; Laura Leal-Taixé; Konrad Schindler; Jörn Ostermann (2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, Waikoloa, HI, USA, January 5-9, 2015, 2015)

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking - Laura Leal-Taixé; Anton Milan; Ian D. Reid; Stefan Roth; Konrad Schindler (CoRR, 2015)

Holistic Scene Understanding (Dagstuhl Seminar 15081) - Jiri Matas; Vittorio Murino; Bodo Rosenhahn; Laura Leal-Taixé (Dagstuhl Reports, 2015)

Multiple object tracking with context awareness - Laura Leal-Taixé (University of Hanover, 2014)

Learning an Image-Based Motion Context for Multiple People Tracking - Laura Leal-Taixé; Michele Fenzi; Alina Kuznetsova; Bodo Rosenhahn; Silvio Savarese (2014 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, USA, June 23-28, 2014, 2014)

Efficient Multiple People Tracking Using Minimum Cost Arborescences - Roberto Henschel; Laura Leal-Taixé; Bodo Rosenhahn (Pattern Recognition - 36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, Proceedings, 2014)

Multiple object tracking with context awareness - Laura Leal-Taixé (CoRR, 2014)

Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories - Michele Fenzi; Laura Leal-Taixé; Bodo Rosenhahn; Jörn Ostermann (2013 IEEE Conference on Computer Vision and Pattern Recognition, Portland, OR, USA, June 23-28, 2013, 2013)

Real-Time Sign Language Recognition Using a Consumer Depth Camera - Alina Kuznetsova; Laura Leal-Taixé; Bodo Rosenhahn (2013 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2013, Sydney, Australia, December 1-8, 2013, 2013)

Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods - Laura Leal-Taixé; Bodo Rosenhahn (Modeling, Simulation and Visual Analysis of Crowds - A Multidisciplinary Perspective, 2013)

Branch-and-price global optimization for multi-view multi-target tracking - Laura Leal-Taixé; Gerard Pons-Moll; Bodo Rosenhahn (2012 IEEE Conference on Computer Vision and Pattern Recognition, Providence, RI, USA, June 16-21, 2012, 2012)

3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating - Michele Fenzi; Ralf Dragon; Laura Leal-Taixé; Bodo Rosenhahn; Jörn Ostermann (Pattern Recognition - Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012. Proceedings, 2012)

Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers - Frank Dellaert; Jan-Michael Frahm; Marc Pollefeys; Laura Leal-Taixé; Bodo Rosenhahn (Springer, 2012)

Efficient and Robust Shape Matching for Model Based Human Motion Capture - Gerard Pons-Moll; Laura Leal-Taixé; Tri Truong; Bodo Rosenhahn (Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011. Proceedings, 2011)

Outdoor human motion capture using inverse kinematics and von mises-fisher sampling - Gerard Pons-Moll; Andreas Baak; Juergen Gall; Laura Leal-Taixé; Meinard Müller; Hans-Peter Seidel; Bodo Rosenhahn (IEEE International Conference on Computer Vision, ICCV 2011, Barcelona, Spain, November 6-13, 2011, 2011)

Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker - Laura Leal-Taixé; Gerard Pons-Moll; Bodo Rosenhahn (IEEE International Conference on Computer Vision Workshops, ICCV 2011 Workshops, Barcelona, Spain, November 6-13, 2011, 2011)

Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors - Laura Leal-Taixé; Gerard Pons-Moll; Bodo Rosenhahn (Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers, 2011)

Data-Driven Manifolds for Outdoor Motion Capture - Gerard Pons-Moll; Laura Leal-Taixé; Juergen Gall; Bodo Rosenhahn (Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers, 2011)

Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data - Laura Leal-Taixé; Matthias Heydt; Sebastian Weiße; Axel Rosenhahn; Bodo Rosenhahn (Pattern Recognition - 32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010. Proceedings, 2010)

Understanding What we Cannot See: Automatic Analysis of 4D Digital In-Line Holographic Microscopy Data - Laura Leal-Taixé; Matthias Heydt; Axel Rosenhahn; Bodo Rosenhahn (Video Processing and Computational Video - International Seminar, Dagstuhl Castle, Germany, October 10-15, 2010. Revised Papers, 2010)