Laura Leal-Taixé

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 158

Top Venues

University of Hanover (PHD)

Education History

University of Hanover

PHD

Publications

Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé
SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation. CoRR (2024)
Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. CoRR (2024)
Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR (2024)
Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé
SeMoLi: What Moves Together Belongs Together. CoRR (2024)
Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé
The NeRFect Match: Exploring NeRF Features for Visual Localization. CoRR (2024)
Maxim Maximov, Tim Meinhardt, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis. FG (2024)
Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixé
Simple Cues Lead to a Strong Multi-Object Tracker. CVPR (2023)
Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. CoRR (2023)
Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. CoRR (2023)
Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan
Lidar Panoptic Segmentation and Tracking without Bells and Whistles. IROS (2023)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. CVPR (2023)
Luca Scofano, Alessio Sampieri, Elisabeth Schiele, Edoardo De Matteis, Laura Leal-Taixé, Fabio Galasso
Staged Contact-Aware Global Human Motion Forecasting. CoRR (2023)
Luca Scofano, Alessio Sampieri, Elisabeth Schiele, Edoardo De Matteis, Laura Leal-Taixé, Fabio Galasso
Staged Contact-Aware Global Human Motion Forecasting. BMVC (2023)
Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé
Unifying Short and Long-Term Tracking with Graph Hierarchies. CVPR (2023)
Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. CoRR (2023)
Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. ICCV (2023)
Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis. CoRR (2023)
Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan
Soft Augmentation for Image Classification. CVPR (2023)
Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? CoRR (2022)
Guillem Brasó, Orcun Cetintas, Laura Leal-Taixé
Multi-Object Tracking and Segmentation Via Neural Message Passing. Int. J. Comput. Vis. 130 (12) (2022)
Jenny Seidenschwarz, Guillem Brasó, Ismail Elezi, Laura Leal-Taixé
Simple Cues Lead to a Strong Multi-Object Tracker. CoRR (2022)
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
Forecasting from LiDAR via Future Object Detection. CVPR (2022)
Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
Learning to Discover and Detect Objects. CoRR (2022)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers
A Unified Framework for Implicit Sinkhorn Differentiation. CVPR (2022)
Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé
PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking? ECCV (22) (2022)
Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
Learning to Discover and Detect Objects. NeurIPS (2022)
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, Laura Leal-Taixé
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CoRR (2022)
Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS (2022)
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR (2022)
Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
Forecasting from LiDAR via Future Object Detection. CoRR (2022)
Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? CoRR (2022)
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taixé
Opening up Open World Tracking. CVPR (2022)
Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan
Soft Augmentation for Image Classification. CoRR (2022)
Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? NeurIPS (2022)
Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixé, Daniel Cremers
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. CoRR (2022)
Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
The Group Loss++: A deeper look into group loss for deep metric learning. CoRR (2022)
Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, Jens Behley
Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles. IEEE Robotics Autom. Lett. 7 (4) (2022)
Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
Learn to Predict Sets Using Feed-Forward Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors. CoRR (2022)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers
A Unified Framework for Implicit Sinkhorn Differentiation. CoRR (2022)
Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé
Unifying Short and Long-Term Tracking with Graph Hierarchies. CoRR (2022)
Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. CVPR (2022)
Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixé, Daniel Cremers
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. IROS (2022)
Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé
Is Geometry Enough for Matching in Visual Localization? ECCV (10) (2022)
Adrià Caelles, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation. CoRR (2022)
Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
Decoupling Identity and Visual Quality for Image and Video Anonymization. ACCV (6) (2022)
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, Laura Leal-Taixé
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CVPR (2022)
Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé
Is Geometry Enough for Matching in Visual Localization? CoRR (2022)
Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR (2022)
Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. CoRR (2022)
Guillem Brasó, Orcun Cetintas, Laura Leal-Taixé
Multi-Object Tracking and Segmentation via Neural Message Passing. CoRR (2022)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CVPR (2022)
Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé
Opening up Open-World Tracking. CoRR (2021)
Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, Jose M. Alvarez
Towards Reducing Labeling Cost in Deep Object Detection. CoRR (2021)
Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR (2021)
Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. CoRR (2021)
Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
Learning Intra-Batch Connections for Deep Metric Learning. ICML (2021)
Lukas Kondmann, Aysim Toker, Marc Rußwurm, Andrés Camero, Devis Peressuti, Grega Milcinski, Pierre-Philippe Mathieu, Nicolas Longépé, Timothy Davis, Giovanni Marchisio, Laura Leal-Taixé, Xiaoxiang Zhu
DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. NeurIPS Datasets and Benchmarks (2021)
Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA (2021)
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, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR (2021)
Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiaoxiang Zhu
Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images. CoRR (2021)
Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
4D Panoptic LiDAR Segmentation. CVPR (2021)
Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? CoRR (2021)
Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? ICCV (2021)
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. Int. J. Comput. Vis. 129 (2) (2021)
Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe
A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings. ICCVW (2021)
Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
Learning Intra-Batch Connections for Deep Metric Learning. CoRR (2021)
Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. CoRR (2021)
Guillem Brasó, Nikita Kister, Laura Leal-Taixé
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. ICCV (2021)
Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. ICCV (2021)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CoRR (2021)
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, Liang-Chieh Chen
STEP: Segmenting and Tracking Every Pixel. CoRR (2021)
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. ICCV (2021)
Guillem Brasó, Nikita Kister, Laura Leal-Taixé
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. CoRR (2021)
Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. CoRR (2021)
Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé
MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. 129 (4) (2021)
Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé
Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. CVPR (2021)
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
The 2021 Image Similarity Dataset and Challenge. CoRR (2021)
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, Liang-Chieh Chen
STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks (2021)
Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
4D Panoptic LiDAR Segmentation. CoRR (2021)
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. CoRR (2021)
Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. ICRA (2021)
Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé
Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. CVPR (2021)
Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CVPR (2020)
Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning. CoRR (2020)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. NeurIPS (2020)
Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking. CoRR (2020)
Tim Meinhardt, Laura Leal-Taixé
Make One-Shot Video Object Segmentation Efficient Again. CoRR (2020)
Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda
How to Train Your Deep Multi-Object Tracker. CVPR (2020)
Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC (2020)
Rajanie Prabha, Manu Tom, Mathias Rothermel, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler
Lake Ice Monitoring with Webcams and Crowd-Sourced Images. CoRR (2020)
Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé
MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR (2020)
Guillem Brasó, Laura Leal-Taixé
Learning a Neural Solver for Multiple Object Tracking. CVPR (2020)
Maxim Maximov, Kevin Galim, Laura Leal-Taixé
Focus on defocus: bridging the synthetic to real domain gap for depth estimation. CoRR (2020)
Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. CoRR (2020)
Maxim Maximov, Kevin Galim, Laura Leal-Taixé
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. CVPR (2020)
Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Sebastian Hennen, Laura Leal-Taixé, Bastian Leibe
Making a Case for 3D Convolutions for Object Segmentation in Videos. CoRR (2020)
Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. ACCV (2) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Laura Leal-Taixé