Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data. - Laura Leal-Taixé; Matthias Heydt; Sebastian Weiße; Axel Rosenhahn; Bodo Rosenhahn (DAGM-Symposium, 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, 2010)

Efficient and Robust Shape Matching for Model Based Human Motion Capture. - Gerard Pons-Moll; Laura Leal-Taixé; Tri Truong; Bodo Rosenhahn (DAGM-Symposium, 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 (ICCV, 2011)

Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker. - Laura Leal-Taixé; Gerard Pons-Moll; Bodo Rosenhahn (ICCV Workshops, 2011)

Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors. - Laura Leal-Taixé; Gerard Pons-Moll; Bodo Rosenhahn (Theoretical Foundations of Computer Vision, 2011)

Data-Driven Manifolds for Outdoor Motion Capture. - Gerard Pons-Moll; Laura Leal-Taixé; Juergen Gall; Bodo Rosenhahn (Theoretical Foundations of Computer Vision, 2011)

Branch-and-price global optimization for multi-view multi-target tracking. - Laura Leal-Taixé; Gerard Pons-Moll; Bodo Rosenhahn (CVPR, 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 (DAGM/OAGM Symposium, 2012)

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

Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories. - Michele Fenzi; Laura Leal-Taixé; Bodo Rosenhahn; Jörn Ostermann (CVPR, 2013)

Real-Time Sign Language Recognition Using a Consumer Depth Camera. - Alina Kuznetsova; Laura Leal-Taixé; Bodo Rosenhahn (ICCV Workshops, 2013)

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

Efficient Multiple People Tracking Using Minimum Cost Arborescences. - Roberto Henschel; Laura Leal-Taixé; Bodo Rosenhahn (GCPR, 2014)

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

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

Joint tracking and segmentation of multiple targets. - Anton Milan; Laura Leal-Taixé; Konrad Schindler; Ian D. Reid 001 (CVPR, 2015)

Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors. - Michele Fenzi; Laura Leal-Taixé; Jörn Ostermann; Tinne Tuytelaars (ICCV, 2015)

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

Solving Multiple People Tracking in a Minimum Cost Arborescence. - Roberto Henschel; Laura Leal-Taixé; Bodo Rosenhahn (WACV Workshops, 2015)

MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. - Laura Leal-Taixé; Anton Milan; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler (CoRR, 2015)

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

Learning by Tracking: Siamese CNN for Robust Target Association. - Laura Leal-Taixé; Cristian Canton-Ferrer; Konrad Schindler (CVPR Workshops, 2016)

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)

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

MOT16: A Benchmark for Multi-Object Tracking. - Anton Milan; Laura Leal-Taixé; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler (CoRR, 2016)

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

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

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

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

Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. - Roberto Henschel; Laura Leal-Taixé; Daniel Cremers; Bodo Rosenhahn (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 001; Stefan Roth 001 (CoRR, 2017)

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

Deep Depth from Focus. - Caner Hazirbas; Sebastian Georg Soyer; Maximilian Christian Staab; Laura Leal-Taixé; Daniel Cremers (ACCV (3), 2018)

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

Fusion of Head and Full-Body Detectors for Multi-Object Tracking. - Roberto Henschel; Laura Leal-Taixé; Daniel Cremers; Bodo Rosenhahn (CVPR Workshops, 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 (CVPR, 2018)

Lifting Layers: Analysis and Applications. - Peter Ochs; Tim Meinhardt; Laura Leal-Taixé; Michael Möller 001 (ECCV (1), 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 001 (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)

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

Tracking Without Bells and Whistles. - Philipp Bergmann; Tim Meinhardt; Laura Leal-Taixé (ICCV, 2019)

Deep Appearance Maps. - Maxim Maximov; Tobias Ritschel 001; Laura Leal-Taixé; Mario Fritz (ICCV, 2019)

Towards Generalizing Sensorimotor Control Across Weather Conditions. - Qadeer Khan; Patrick Wenzel; Daniel Cremers; Laura Leal-Taixé (IROS, 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 001; Stefan Roth 001; Konrad Schindler; Laura Leal-Taixé (CoRR, 2019)

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)

Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. - Patrick Dendorfer; Aljosa Osep; Laura Leal-Taixé (ACCV (2), 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 (BMVC, 2020)

Learning a Neural Solver for Multiple Object Tracking. - Guillem Brasó; Laura Leal-Taixé (CVPR, 2020)

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

Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. - Maxim Maximov; Kevin Galim; Laura Leal-Taixé (CVPR, 2020)

How to Train Your Deep Multi-Object Tracker. - Yihong Xu; Aljosa Osep; Yutong Ban; Radu Horaud; Laura Leal-Taixé; Xavier Alameda-Pineda (CVPR, 2020)

STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos. - Ali Athar; Sabarinath Mahadevan; Aljosa Osep; Laura Leal-Taixé; Bastian Leibe (ECCV (11), 2020)

The Group Loss for Deep Metric Learning. - Ismail Elezi; Sebastiano Vascon; Alessandro Torcinovich; Marcello Pelillo; Laura Leal-Taixé (ECCV (7), 2020)

To Learn or Not to Learn: Visual Localization from Essential Matrices. - Qunjie Zhou; Torsten Sattler; Marc Pollefeys; Laura Leal-Taixé (ICRA, 2020)

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

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

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

HistoNet: Predicting size histograms of object instances. - Kishan Sharma; Moritz Gold; Christian Zurbruegg; Laura Leal-Taixé; Jan Dirk Wegner (WACV, 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 001 (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)

MOT20: A benchmark for multi object tracking in crowded scenes. - Patrick Dendorfer; Hamid Rezatofighi; Anton Milan; Javen Shi; Daniel Cremers; Ian D. Reid 001; Stefan Roth 001; Konrad Schindler; 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 (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)

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

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

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. - Qunjie Zhou; Torsten Sattler; Laura Leal-Taixé (CVPR, 2021)

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

The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. - Guillem Brasó; Nikita Kister; 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; Aljosa Osep; Simone Calderara; Laura Leal-Taixé; Rita Cucchiara (ICCV, 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 (ICCVW, 2021)

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

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

Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. - Patrick Wenzel; Torsten Schön; Laura Leal-Taixé; Daniel Cremers (ICRA, 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 001 (NeurIPS Datasets and Benchmarks, 2021)

STEP: Segmenting and Tracking Every Pixel. - Mark Weber; Jun Xie; Maxwell D. Collins; Yukun Zhu; Paul Voigtlaender; Hartwig Adam; Bradley Green; Andreas Geiger 001; Bastian Leibe; Daniel Cremers; Aljosa Osep; Laura Leal-Taixé; et al. (NeurIPS Datasets and Benchmarks, 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 004 (CoRR, 2021)

MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. - Patrick Dendorfer; Aljosa Osep; Anton Milan; Konrad Schindler; Daniel Cremers; Ian Reid 001; Stefan Roth 001; Laura Leal-Taixé (Int. J. Comput. Vis., 2021)

HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. - Jonathon Luiten; Aljosa Osep; Patrick Dendorfer; Philip H. S. Torr; Andreas Geiger 001; Laura Leal-Taixé; Bastian Leibe (Int. J. Comput. Vis., 2021)

Decoupling Identity and Visual Quality for Image and Video Anonymization. - Maxim Maximov; Ismail Elezi; Laura Leal-Taixé (ACCV (6), 2022)

A Unified Framework for Implicit Sinkhorn Differentiation. - Marvin Eisenberger; Aysim Toker; Laura Leal-Taixé; Florian Bernard; Daniel Cremers (CVPR, 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 004 (CVPR, 2022)

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

Opening up Open World Tracking. - Yang Liu; Idil Esen Zulfikar; Jonathon Luiten; Achal Dave; Deva Ramanan; Bastian Leibe; Aljosa Osep; Laura Leal-Taixé (CVPR, 2022)

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

Forecasting from LiDAR via Future Object Detection. - Neehar Peri; Jonathon Luiten; Mengtian Li; Aljosa Osep; Laura Leal-Taixé; Deva Ramanan (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; Çaglar Senaras; Timothy Davis; Daniel Cremers; Giovanni Marchisio; Xiao Xiang Zhu 001; et al. (CVPR, 2022)

PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking? - Aleksandr Kim; Guillem Brasó; Aljosa Osep; Laura Leal-Taixé (ECCV (22), 2022)

Is Geometry Enough for Matching in Visual Localization? - Qunjie Zhou; Sérgio Agostinho; Aljosa Osep; Laura Leal-Taixé (ECCV (10), 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 (IROS, 2022)

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. - Peter Kocsis 001; Peter Súkeník; Guillem Brasó; Matthias Nießner; Laura Leal-Taixé; Ismail Elezi (NeurIPS, 2022)

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

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

Simple Cues Lead to a Strong Multi-Object Tracker. - Jenny Seidenschwarz; Guillem Brasó; Ismail Elezi; 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)

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 001; Roman Kaskman; Farbod T. Motlagh; Javen Qinfeng Shi; Anton Milan; Daniel Cremers; Laura Leal-Taixé; Ian D. Reid 001 (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 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

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

Unifying Short and Long-Term Tracking with Graph Hierarchies. - Orcun Cetintas; Guillem Brasó; 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)

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

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

Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. - Cristiano Saltori; Aljosa Osep; Elisa Ricci 001; Laura Leal-Taixé (ICCV, 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)

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)

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)

SeMoLi: What Moves Together Belongs Together. - Jenny Seidenschwarz; Aljosa Osep; Francesco Ferroni; Simon Lucey; 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)

SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. - Orcun Cetintas; Tim Meinhardt; Guillem Brasó; Laura Leal-Taixé (ECCV (12), 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 (39), 2024)

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. - Linyan Yang; Lukas Hoyer; Mark Weber; Tobias Fischer 004; Dengxin Dai; Laura Leal-Taixé; Marc Pollefeys; Daniel Cremers; Luc Van Gool (ECCV (39), 2024)

The NeRFect Match: Exploring NeRF Features for Visual Localization. - Qunjie Zhou; Maxim Maximov; Or Litany; Laura Leal-Taixé (ECCV (24), 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 (FG, 2024)

BEV-SUSHI: Multi-Target Multi-Camera 3D Detection and Tracking in Bird's-Eye View. - Yizhou Wang 001; Tim Meinhardt; Orcun Cetintas; Cheng-Yen Yang; Sameer Satish Pusegaonkar; Benjamin Missaoui; Sujit Biswas; Zheng Tang; Laura Leal-Taixé (CoRR, 2024)

DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction. - Jenny Seidenschwarz; Qunjie Zhou; Bardienus Pieter Duisterhof; Deva Ramanan; Laura Leal-Taixé (3DV, 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 (CVPR, 2025)

Zero-Shot 4D Lidar Panoptic Segmentation. - Yushan Zhang; Aljosa Osep; Laura Leal-Taixé; Tim Meinhardt (CVPR, 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)

Towards a Unified Copernicus Foundation Model for Earth Vision. - Yi Wang 072; Zhitong Xiong; Chenying Liu 001; Adam J. Stewart; Thomas Dujardin; Nikolaos-Ioannis Bountos; Angelos Zavras; Franziska Gerken; Ioannis Papoutsis; Laura Leal-Taixé; Xiao Xiang Zhu 001 (CoRR, 2025)

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)

Towards Learning to Complete Anything in Lidar. - Ayca Takmaz; Cristiano Saltori; Neehar Peri; Tim Meinhardt; Riccardo de Lutio; Laura Leal-Taixé; Aljosa Osep (CoRR, 2025)

LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception. - Yuan-Hong Liao; Sven Elflein; Liu He; Laura Leal-Taixé; Yejin Choi 001; Sanja Fidler; David Acuna (CoRR, 2025)

A Guide to Structureless Visual Localization. - Vojtech Panek; Qunjie Zhou; Yaqing Ding 001; Sérgio Agostinho; Zuzana Kukelova; Torsten Sattler; Laura Leal-Taixé (CoRR, 2025)

Native Segmentation Vision Transformers. - Guillem Brasó; Aljosa Osep; Laura Leal-Taixé (CoRR, 2025)

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. - Xuanchi Ren; Yifan Lu; Tianshi Cao; Ruiyuan Gao 003; Shengyu Huang; Amirmojtaba Sabour; Tianchang Shen; Tobias Pfaff; Jay Zhangjie Wu; Runjian Chen; Seung Wook Kim 001; Jun Gao 004; et al. (CoRR, 2025)

ViPE: Video Pose Engine for 3D Geometric Perception. - Jiahui Huang; Qunjie Zhou; Hesam Rabeti; Aleksandr Korovko; Huan Ling; Xuanchi Ren; Tianchang Shen; Jun Gao 004; Dmitry Slepichev; Chen-Hsuan Lin 001; Jiawei Ren 001; Kevin Xie; et al. (CoRR, 2025)