Leal-Taixe, Laura

60 publications

CVPR 2025 Light3R-SfM: Towards Feed-Forward Structure-from-Motion Sven Elflein, Qunjie Zhou, Laura Leal-Taixé

CVPR 2025 MATCHA: Towards Matching Anything Fei Xue, Sven Elflein, Laura Leal-Taixé, Qunjie Zhou

NeurIPS 2025 Native Segmentation Vision Transformers Guillem Braso, Aljosa Osep, Laura Leal-Taixé

ICML 2025 Towards Learning to Complete Anything in LiDAR Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo De Lutio, Laura Leal-Taixé, Aljosa Osep

ICCV 2025 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-Taixé, Xiao Xiang Zhu

CVPR 2025 Zero-Shot 4D LiDAR Panoptic Segmentation Yushan Zhang, Aljoša Ošep, Laura Leal-Taixé, Tim Meinhardt

ECCV 2024 Better Call SAL: Towards Learning to Segment Anything in LiDAR Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé

ECCV 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, Daniel Cremers, Marc Pollefeys, Luc Van Gool

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

CVPR 2024 SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé

CVPR 2024 SeMoLi: What Moves Together Belongs Together Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixe

ECCV 2024 The Nerfect Match: Exploring NeRF Features for Visual Localization Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé

CVPR 2023 G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers

CVPR 2023 Simple Cues Lead to a Strong Multi-Object Tracker Jenny Seidenschwarz, Guillem Brasó, Víctor Castro Serrano, Ismail Elezi, Laura Leal-Taixé

CVPR 2023 Soft Augmentation for Image Classification Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan

CVPR 2023 Unifying Short and Long-Term Tracking with Graph Hierarchies Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé

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

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

CVPR 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, Çağlar Şenaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé

CVPR 2022 Forecasting from LiDAR via Future Object Detection Neehar Peri, Jonathon Luiten, Mengtian Li, Aljoša Ošep, Laura Leal-Taixé, Deva Ramanan

ECCV 2022 Is Geometry Enough for Matching in Visual Localization? Qunjie Zhou, Sérgio Agostinho, Aljoša Ošep, Laura Leal-Taixé

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

CVPR 2022 Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez

CVPR 2022 Opening up Open World Tracking Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé

ECCV 2022 PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? Aleksandr Kim, Guillem Brasó, Aljoša Ošep, Laura Leal-Taixé

NeurIPSW 2022 PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? Aleksandr Kim, Guillem Braso, Aljosa Osep, Laura Leal-Taixé

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

CVPR 2022 Text2Pos: Text-to-Point-Cloud Cross-Modal Localization Manuel Kolmet, Qunjie Zhou, Aljoša Ošep, Laura Leal-Taixé

NeurIPS 2022 The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes Peter Kocsis, Peter Súkeník, Guillem Braso, Matthias Niessner, Laura Leal-Taixé, Ismail Elezi

CVPR 2022 TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer

ICCV 2021 (Just) a Spoonful of Refinements Helps the Registration Error Go Down Sérgio Agostinho, Aljoša Ošep, Alessio Del Bue, Laura Leal-Taixé

CVPR 2021 4D Panoptic LiDAR Segmentation Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixe

ICCVW 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

CVPR 2021 Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixe

ICML 2021 Learning Intra-Batch Connections for Deep Metric Learning Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé

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

ICCV 2021 MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljoša Ošep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara

CVPR 2021 Patch2Pix: Epipolar-Guided Pixel-Level Correspondences Qunjie Zhou, Torsten Sattler, Laura Leal-Taixe

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

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

WACV 2020 HistoNet: Predicting Size Histograms of Object Instances Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixe, Jan Dirk Wegner

NeurIPS 2020 Make One-Shot Video Object Segmentation Efficient Again Tim Meinhardt, Laura Leal-Taixé

L4DC 2020 Planning from Images with Deep Latent Gaussian Process Dynamics Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler

ECCV 2020 STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe

ECCV 2020 The Group Loss for Deep Metric Learning Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé

CVPRW 2018 Fusion of Head and Full-Body Detectors for Multi-Object Tracking Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn

ECCV 2018 Lifting Layers: Analysis and Applications Peter Ochs, Tim Meinhardt, Laura Leal-Taixe, Michael Moeller

CoRL 2018 Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixe

ICCV 2017 Image-Based Localization Using LSTMs for Structured Feature Correlation Florian Walch, Caner Hazirbas, Laura Leal-Taixe, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers

CVPR 2017 One-Shot Video Object Segmentation Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixe, Daniel Cremers, Luc Van Gool

CVPRW 2016 Learning by Tracking: Siamese CNN for Robust Target Association Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler

ICCV 2015 Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors Michele Fenzi, Laura Leal-Taixe, Jorn Ostermann, Tinne Tuytelaars

CVPR 2015 Joint Tracking and Segmentation of Multiple Targets Anton Milan, Laura Leal-Taixe, Konrad Schindler, Ian Reid

WACV 2015 Pose Estimation of Object Categories in Videos Using Linear Programming Michele Fenzi, Laura Leal-Taixé, Konrad Schindler, Jörn Ostermann

WACVW 2015 Solving Multiple People Tracking in a Minimum Cost Arborescence Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn

CVPR 2014 Learning an Image-Based Motion Context for Multiple People Tracking Laura Leal-Taixe, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese

CVPR 2013 Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories Michele Fenzi, Laura Leal-Taixe, Bodo Rosenhahn, Jorn Ostermann

ICCVW 2013 Real-Time Sign Language Recognition Using a Consumer Depth Camera Alina Kuznetsova, Laura Leal-Taixé, Bodo Rosenhahn

CVPR 2012 Branch-and-Price Global Optimization for Multi-View Multi-Target Tracking Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn

ICCV 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