Laura Leal-Taix
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
70
Venues
10
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
70 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Light3R-SfM: Towards Feed-forward Structure-from-Motion. | Sven Elflein, Qunjie Zhou, Laura Leal-Taix |
| 2025 | CVPR | MATCHA: Towards Matching Anything. | Fei Xue, Sven Elflein, Laura Leal-Taix, Qunjie Zhou |
| 2025 | CVPR | Zero-Shot 4D Lidar Panoptic Segmentation. | Yushan Zhang, Aljosa Osep, Laura Leal-Taix, Tim Meinhardt |
| 2025 | ICCV | MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos. | Yizhou Wang, Tim Meinhardt, Orcun Cetintas, Cheng-Yen Yang, Sameer Satish Pusegaonkar, Benjamin Missaoui, Sujit Biswas, Zheng Tang, Laura Leal-Taix |
| 2025 | ICCV | Towards a Unified Copernicus Foundation Model for Earth Vision. | Yi Wang, Zhitong Xiong, Chenying Liu, Adam J. Stewart, Thomas Dujardin, Nikolaos-Ioannis Bountos, Angelos Zavras, Franziska Gerken, Ioannis Papoutsis, Laura Leal-Taix, Xiao Xiang Zhu |
| 2025 | ICML | Towards Learning to Complete Anything in Lidar. | Aya Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taix, Aljosa Osep |
| 2024 | CVPR | SeMoLi: What Moves Together Belongs Together. | Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taix |
| 2024 | CVPR | SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation. | Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taix |
| 2024 | ECCV | SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. | Orcun Cetintas, Tim Meinhardt, Guillem Bras, Laura Leal-Taix |
| 2024 | ECCV | Better Call SAL: Towards Learning to Segment Anything in Lidar. | Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taix |
| 2024 | ECCV | 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-Taix, Marc Pollefeys, Daniel Cremers, Luc Van Gool |
| 2024 | ECCV | The NeRFect Match: Exploring NeRF Features for Visual Localization. | Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taix |
| 2023 | BMVC | Staged Contact-Aware Global Human Motion Forecasting. | Luca Scofano, Alessio Sampieri, Elisabeth Schiele, Edoardo De Matteis, Laura Leal-Taix, Fabio Galasso |
| 2023 | CVPR | Unifying Short and Long-Term Tracking with Graph Hierarchies. | Orcun Cetintas, Guillem Bras, Laura Leal-Taix |
| 2023 | CVPR | G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. | Marvin Eisenberger, Aysim Toker, Laura Leal-Taix, Daniel Cremers |
| 2023 | CVPR | Soft Augmentation for Image Classification. | Yang Liu, Shen Yan, Laura Leal-Taix, James Hays, Deva Ramanan |
| 2023 | CVPR | Simple Cues Lead to a Strong Multi-Object Tracker. | Jenny Seidenschwarz, Guillem Bras, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taix |
| 2023 | ICCV | Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. | Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taix |
| 2023 | IROS | Lidar Panoptic Segmentation and Tracking without Bells and Whistles. | Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taix, James Hays, Aljosa Osep, Deva Ramanan |
| 2022 | ACCV | Decoupling Identity and Visual Quality for Image and Video Anonymization. | Maxim Maximov, Ismail Elezi, Laura Leal-Taix |
| 2022 | CVPR | A Unified Framework for Implicit Sinkhorn Differentiation. | Marvin Eisenberger, Aysim Toker, Laura Leal-Taix, Florian Bernard, Daniel Cremers |
| 2022 | CVPR | Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. | Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taix, Jos M. lvarez |
| 2022 | CVPR | Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. | Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taix |
| 2022 | CVPR | Opening up Open World Tracking. | Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taix |
| 2022 | CVPR | TrackFormer: Multi-Object Tracking with Transformers. | Tim Meinhardt, Alexander Kirillov, Laura Leal-Taix, Christoph Feichtenhofer |
| 2022 | CVPR | Forecasting from LiDAR via Future Object Detection. | Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taix, Deva Ramanan |
| 2022 | CVPR | DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. | Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrs Camero, Jingliang Hu, Ariadna Pregel Hoderlein, aglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taix |
| 2022 | ECCV | PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking? | Aleksandr Kim, Guillem Bras, Aljosa Osep, Laura Leal-Taix |
| 2022 | ECCV | Is Geometry Enough for Matching in Visual Localization? | Qunjie Zhou, Srgio Agostinho, Aljosa Osep, Laura Leal-Taix |
| 2022 | IROS | DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. | Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taix, Daniel Cremers |
| 2021 | CVPR | 4D Panoptic LiDAR Segmentation. | Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taix |
| 2021 | CVPR | Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. | Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taix |
| 2021 | CVPR | Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. | Qunjie Zhou, Torsten Sattler, Laura Leal-Taix |
| 2021 | ICCV | (Just) A Spoonful of Refinements Helps the Registration Error Go Down. | Srgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taix |
| 2021 | ICCV | The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. | Guillem Bras, Nikita Kister, Laura Leal-Taix |
| 2021 | ICCV | MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. | Patrick Dendorfer, Sven Elflein, Laura Leal-Taix |
| 2021 | ICCV | MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? | Matteo Fabbri, Guillem Bras, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taix, Rita Cucchiara |
| 2021 | ICML | Learning Intra-Batch Connections for Deep Metric Learning. | Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taix |
| 2021 | ICRA | EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. | Aleksandr Kim, Aljosa Osep, Laura Leal-Taix |
| 2021 | ICRA | Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. | Patrick Wenzel, Torsten Schn, Laura Leal-Taix, Daniel Cremers |
| 2020 | ACCV | Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. | Patrick Dendorfer, Aljosa Osep, Laura Leal-Taix |
| 2020 | BMVC | Making a Case for 3D Convolutions for Object Segmentation in Videos. | Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Laura Leal-Taix, Bastian Leibe, Sebastian Hennen |
| 2020 | CVPR | Learning a Neural Solver for Multiple Object Tracking. | Guillem Bras, Laura Leal-Taix |
| 2020 | CVPR | CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. | Maxim Maximov, Ismail Elezi, Laura Leal-Taix |
| 2020 | CVPR | Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. | Maxim Maximov, Kevin Galim, Laura Leal-Taix |
| 2020 | CVPR | How to Train Your Deep Multi-Object Tracker. | Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taix, Xavier Alameda-Pineda |
| 2020 | ECCV | STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos. | Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taix, Bastian Leibe |
| 2020 | ECCV | The Group Loss for Deep Metric Learning. | Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taix |
| 2020 | ICRA | To Learn or Not to Learn: Visual Localization from Essential Matrices. | Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taix |
| 2020 | WACV | HistoNet: Predicting size histograms of object instances. | Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taix, Jan Dirk Wegner |
| 2019 | CVPR | Understanding the Limitations of CNN-Based Absolute Camera Pose Regression. | Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taix |
| 2019 | ICCV | Tracking Without Bells and Whistles. | Philipp Bergmann, Tim Meinhardt, Laura Leal-Taix |
| 2019 | ICCV | Deep Appearance Maps. | Maxim Maximov, Tobias Ritschel, Laura Leal-Taix, Mario Fritz |
| 2019 | IROS | Towards Generalizing Sensorimotor Control Across Weather Conditions. | Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taix |
| 2018 | ACCV | Deep Depth from Focus. | Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taix, Daniel Cremers |
| 2018 | CoRL | Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. | Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taix |
| 2018 | CVPR | Fusion of Head and Full-Body Detectors for Multi-Object Tracking. | Roberto Henschel, Laura Leal-Taix, Daniel Cremers, Bodo Rosenhahn |
| 2018 | CVPR | Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. | Emanuel Laude, Jan-Hendrik Lange, Jonas Schpfer, Csaba Domokos, Laura Leal-Taix, Frank R. Schmidt, Bjoern Andres, Daniel Cremers |
| 2018 | ECCV | Lifting Layers: Analysis and Applications. | Peter Ochs, Tim Meinhardt, Laura Leal-Taix, Michael Mller |
| 2017 | CVPR | One-Shot Video Object Segmentation. | Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taix, Daniel Cremers, Luc Van Gool |
| 2017 | ICCV | Image-Based Localization Using LSTMs for Structured Feature Correlation. | Florian Walch, Caner Hazirbas, Laura Leal-Taix, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers |
| 2016 | CVPR | Learning by Tracking: Siamese CNN for Robust Target Association. | Laura Leal-Taix, Cristian Canton-Ferrer, Konrad Schindler |
| 2015 | CVPR | Joint tracking and segmentation of multiple targets. | Anton Milan, Laura Leal-Taix, Konrad Schindler, Ian D. Reid |
| 2015 | ICCV | Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors. | Michele Fenzi, Laura Leal-Taix, Jrn Ostermann, Tinne Tuytelaars |
| 2015 | WACV | Pose Estimation of Object Categories in Videos Using Linear Programming. | Michele Fenzi, Laura Leal-Taix, Konrad Schindler, Jrn Ostermann |
| 2015 | WACV | Solving Multiple People Tracking in a Minimum Cost Arborescence. | Roberto Henschel, Laura Leal-Taix, Bodo Rosenhahn |
| 2014 | CVPR | Learning an Image-Based Motion Context for Multiple People Tracking. | Laura Leal-Taix, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese |
| 2013 | CVPR | Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories. | Michele Fenzi, Laura Leal-Taix, Bodo Rosenhahn, Jrn Ostermann |
| 2012 | CVPR | Branch-and-price global optimization for multi-view multi-target tracking. | Laura Leal-Taix, Gerard Pons-Moll, Bodo Rosenhahn |
| 2011 | ICCV | Outdoor human motion capture using inverse kinematics and von mises-fisher sampling. | Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taix, Meinard Mller, Hans-Peter Seidel, Bodo Rosenhahn |