Laura Leal-Taixé

214 papers A* 50A 7B 1Misc 1Journal 116Unranked 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Depth Completion as Parameter-Efficient Test-Time Adaptation. CoRR Bingxin Ke, Qunjie Zhou, Jiahui Huang, Xuanchi Ren, Tianchang Shen, Konrad Schindler, Laura Leal-Taixé, Shengyu Huang
2026	J	`jnl`	Motion Attribution for Video Generation. CoRR Xindi Wu, Despoina Paschalidou, Jun Gao, Antonio Torralba, Laura Leal-Taixé, Olga Russakovsky, Sanja Fidler, Jonathan Lorraine
2026	J	`jnl`	VGG-T CoRR Sven Elflein, Ruilong Li, Sérgio Agostinho, Zan Gojcic, Laura Leal-Taixé, Qunjie Zhou, Aljosa Osep
2025	J	`jnl`	A Guide to Structureless Visual Localization. CoRR Vojtech Panek, Qunjie Zhou, Yaqing Ding, Sérgio Agostinho, Zuzana Kukelova, Torsten Sattler, Laura Leal-Taixé
2025	J	`jnl`	Cosmos World Foundation Model Platform for Physical AI. CoRR Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Yen-Chen Lin, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski
2025	J	`jnl`	Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. CoRR Xuanchi Ren, Yifan Lu, Tianshi Cao, Ruiyuan Gao, Shengyu Huang, Amirmojtaba Sabour, Tianchang Shen, Tobias Pfaff, Jay Zhangjie Wu, Runjian Chen, Seung Wook Kim, Jun Gao, Laura Leal-Taixé, Mike Chen, Sanja Fidler, Huan Ling
2025	—	`conf`	DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction. 3DV Jenny Seidenschwarz, Qunjie Zhou, Bardienus Pieter Duisterhof, Deva Ramanan, Laura Leal-Taixé
2025	J	`jnl`	Lidar Panoptic Segmentation in an Open World. Int. J. Comput. Vis. Anirudh Srinivasan Chakravarthy, Meghana Reddy Ganesina, Peiyun Hu, Laura Leal-Taixé, Shu Kong, Deva Ramanan, Aljosa Osep
2025	A*	`conf`	Light3R-SfM: Towards Feed-forward Structure-from-Motion. CVPR Sven Elflein, Qunjie Zhou, Laura Leal-Taixé
2025	J	`jnl`	Light3R-SfM: Towards Feed-forward Structure-from-Motion. CoRR Sven Elflein, Qunjie Zhou, Sérgio Agostinho, Laura Leal-Taixé
2025	J	`jnl`	LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception. CoRR Yuan-Hong Liao, Sven Elflein, Liu He, Laura Leal-Taixé, Yejin Choi, Sanja Fidler, David Acuna
2025	A*	`conf`	MATCHA: Towards Matching Anything. CVPR Fei Xue, Sven Elflein, Laura Leal-Taixé, Qunjie Zhou
2025	J	`jnl`	MATCHA:Towards Matching Anything. CoRR Fei Xue, Sven Elflein, Laura Leal-Taixé, Qunjie Zhou
2025	—	`conf`	MCBLT: Multi-Camera Multi-Object 3D Tracking in Long Videos. ICCVW Yizhou Wang, Tim Meinhardt, Orcun Cetintas, Cheng-Yen Yang, Sameer Satish Pusegaonkar, Benjamin Missaoui, Sujit Biswas, Zheng Tang, Laura Leal-Taixé
2025	J	`jnl`	NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking. CoRR Benjamin Missaoui, Orcun Cetintas, Guillem Brasó, Tim Meinhardt, Laura Leal-Taixé
2025	J	`jnl`	Native Segmentation Vision Transformers. CoRR Guillem Brasó, Aljosa Osep, Laura Leal-Taixé
2025	J	`jnl`	SVAG-Bench: A Large-Scale Benchmark for Multi-Instance Spatio-temporal Video Action Grounding. CoRR Tanveer Hannan, Shuaicong Wu, Mark Weber, Suprosanna Shit, Jindong Gu, Rajat Koner, Aljosa Osep, Laura Leal-Taixé, Thomas Seidl
2025	A*	`conf`	Towards Learning to Complete Anything in Lidar. ICML Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taixé, Aljosa Osep
2025	J	`jnl`	Towards Learning to Complete Anything in Lidar. CoRR Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taixé, Aljosa Osep
2025	J	`jnl`	Towards a Unified Copernicus Foundation Model for Earth Vision. CoRR 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
2025	J	`jnl`	ViPE: Video Pose Engine for 3D Geometric Perception. CoRR Jiahui Huang, Qunjie Zhou, Hesam Rabeti, Aleksandr Korovko, Huan Ling, Xuanchi Ren, Tianchang Shen, Jun Gao, Dmitry Slepichev, Chen-Hsuan Lin, Jiawei Ren, Kevin Xie, Joydeep Biswas, Laura Leal-Taixé, Sanja Fidler
2025	A*	`conf`	Zero-Shot 4D Lidar Panoptic Segmentation. CVPR Yushan Zhang, Aljosa Osep, Laura Leal-Taixé, Tim Meinhardt
2025	J	`jnl`	Zero-Shot 4D Lidar Panoptic Segmentation. CoRR Yushan Zhang, Aljosa Osep, Laura Leal-Taixé, Tim Meinhardt
2024	J	`jnl`	BEV-SUSHI: Multi-Target Multi-Camera 3D Detection and Tracking in Bird's-Eye View. CoRR Yizhou Wang, Tim Meinhardt, Orcun Cetintas, Cheng-Yen Yang, Sameer Satish Pusegaonkar, Benjamin Missaoui, Sujit Biswas, Zheng Tang, Laura Leal-Taixé
2024	—	`conf`	Better Call SAL: Towards Learning to Segment Anything in Lidar. ECCV (39) Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
2024	J	`jnl`	Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé
2024	B	`conf`	Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis. FG Maxim Maximov, Tim Meinhardt, Zoe Papakipos, Caner Hazirbas, Cristian Canton, Laura Leal-Taixé
2024	J	`jnl`	DynOMo: Online Point Tracking by Dynamic Online Monocular Gaussian Reconstruction. CoRR Jenny Seidenschwarz, Qunjie Zhou, Bardienus Pieter Duisterhof, Deva Ramanan, Laura Leal-Taixé
2024	J	`jnl`	Lidar Panoptic Segmentation in an Open World. CoRR Anirudh Srinivasan Chakravarthy, Meghana Reddy Ganesina, Peiyun Hu, Laura Leal-Taixé, Shu Kong, Deva Ramanan, Aljosa Osep
2024	—	`conf`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. ECCV (39) Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	J	`jnl`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. CoRR Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	—	`conf`	SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. ECCV (12) Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
2024	J	`jnl`	SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow. CoRR Orcun Cetintas, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
2024	A*	`conf`	SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation. CVPR Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé
2024	J	`jnl`	SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation. CoRR Aysim Toker, Marvin Eisenberger, Daniel Cremers, Laura Leal-Taixé
2024	A*	`conf`	SeMoLi: What Moves Together Belongs Together. CVPR Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé
2024	J	`jnl`	SeMoLi: What Moves Together Belongs Together. CoRR Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé
2024	—	`conf`	The NeRFect Match: Exploring NeRF Features for Visual Localization. ECCV (24) Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé
2024	J	`jnl`	The NeRFect Match: Exploring NeRF Features for Visual Localization. CoRR Qunjie Zhou, Maxim Maximov, Or Litany, Laura Leal-Taixé
2023	J	`jnl`	Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis. CoRR Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé
2023	A*	`conf`	G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors. CVPR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2023	A	`conf`	Lidar Panoptic Segmentation and Tracking without Bells and Whistles. IROS Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan
2023	J	`jnl`	Lidar Panoptic Segmentation and Tracking without Bells and Whistles. CoRR Abhinav Agarwalla, Xuhua Huang, Jason Ziglar, Francesco Ferroni, Laura Leal-Taixé, James Hays, Aljosa Osep, Deva Ramanan
2023	J	`jnl`	NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. CoRR Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan
2023	A*	`conf`	Simple Cues Lead to a Strong Multi-Object Tracker. CVPR Jenny Seidenschwarz, Guillem Brasó, Victor Castro Serrano, Ismail Elezi, Laura Leal-Taixé
2023	A*	`conf`	Soft Augmentation for Image Classification. CVPR Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan
2023	A	`conf`	Staged Contact-Aware Global Human Motion Forecasting. BMVC Luca Scofano, Alessio Sampieri, Elisabeth Schiele, Edoardo De Matteis, Laura Leal-Taixé, Fabio Galasso
2023	J	`jnl`	Staged Contact-Aware Global Human Motion Forecasting. CoRR Luca Scofano, Alessio Sampieri, Elisabeth Schiele, Edoardo De Matteis, Laura Leal-Taixé, Fabio Galasso
2023	J	`jnl`	The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2023	A*	`conf`	Unifying Short and Long-Term Tracking with Graph Hierarchies. CVPR Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé
2023	A*	`conf`	Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. ICCV Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé
2023	J	`jnl`	Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. CoRR Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé
2022	A*	`conf`	A Unified Framework for Implicit Sinkhorn Differentiation. CVPR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers
2022	J	`jnl`	A Unified Framework for Implicit Sinkhorn Differentiation. CoRR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers
2022	J	`jnl`	DeVIS: Making Deformable Transformers Work for Video Instance Segmentation. CoRR Adrià Caelles, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé
2022	—	`conf`	Decoupling Identity and Visual Quality for Image and Video Anonymization. ACCV (6) Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
2022	A	`conf`	DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. IROS Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixé, Daniel Cremers
2022	J	`jnl`	DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment. CoRR Mariia Gladkova, Nikita Korobov, Nikolaus Demmel, Aljosa Osep, Laura Leal-Taixé, Daniel Cremers
2022	A*	`conf`	DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CVPR 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
2022	J	`jnl`	DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. CoRR 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
2022	A*	`conf`	Forecasting from LiDAR via Future Object Detection. CVPR Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
2022	J	`jnl`	Forecasting from LiDAR via Future Object Detection. CoRR Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan
2022	J	`jnl`	G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors. CoRR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2022	—	`conf`	Is Geometry Enough for Matching in Visual Localization? ECCV (10) Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé
2022	J	`jnl`	Is Geometry Enough for Matching in Visual Localization? CoRR Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé
2022	J	`jnl`	Learn to Predict Sets Using Feed-Forward Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Hamid Rezatofighi, Tianyu Zhu, Roman Kaskman, Farbod T. Motlagh, Javen Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
2022	A*	`conf`	Learning to Discover and Detect Objects. NeurIPS Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
2022	J	`jnl`	Learning to Discover and Detect Objects. CoRR Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep
2022	J	`jnl`	Multi-Object Tracking and Segmentation Via Neural Message Passing. Int. J. Comput. Vis. Guillem Brasó, Orcun Cetintas, Laura Leal-Taixé
2022	J	`jnl`	Multi-Object Tracking and Segmentation via Neural Message Passing. CoRR Guillem Brasó, Orcun Cetintas, Laura Leal-Taixé
2022	A*	`conf`	Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. CVPR Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2022	A*	`conf`	Opening up Open World Tracking. CVPR Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taixé
2022	J	`jnl`	PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? CoRR Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé
2022	—	`conf`	PolarMOT: How Far Can Geometric Relations Take us in 3D Multi-object Tracking? ECCV (22) Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé
2022	A*	`conf`	Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? NeurIPS Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé
2022	J	`jnl`	Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? CoRR Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé
2022	J	`jnl`	Simple Cues Lead to a Strong Multi-Object Tracker. CoRR Jenny Seidenschwarz, Guillem Brasó, Ismail Elezi, Laura Leal-Taixé
2022	J	`jnl`	Soft Augmentation for Image Classification. CoRR Yang Liu, Shen Yan, Laura Leal-Taixé, James Hays, Deva Ramanan
2022	J	`jnl`	Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images. IEEE Trans. Geosci. Remote. Sens. Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu
2022	A*	`conf`	Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. CVPR Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé
2022	J	`jnl`	Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. CoRR Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé
2022	J	`jnl`	The Group Loss++: A deeper look into group loss for deep metric learning. CoRR Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2022	A*	`conf`	The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. NeurIPS Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
2022	J	`jnl`	The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes. CoRR Peter Kocsis, Peter Súkeník, Guillem Brasó, Matthias Nießner, Laura Leal-Taixé, Ismail Elezi
2022	A*	`conf`	TrackFormer: Multi-Object Tracking with Transformers. CVPR Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
2022	J	`jnl`	Unifying Short and Long-Term Tracking with Graph Hierarchies. CoRR Orcun Cetintas, Guillem Brasó, Laura Leal-Taixé
2022	J	`jnl`	Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles. IEEE Robotics Autom. Lett. Lucas Nunes, Xieyuanli Chen, Rodrigo Marcuzzi, Aljosa Osep, Laura Leal-Taixé, Cyrill Stachniss, Jens Behley
2021	A*	`conf`	(Just) A Spoonful of Refinements Helps the Registration Error Go Down. ICCV Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé
2021	J	`jnl`	(Just) A Spoonful of Refinements Helps the Registration Error Go Down. CoRR Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé
2021	A*	`conf`	4D Panoptic LiDAR Segmentation. CVPR Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
2021	J	`jnl`	4D Panoptic LiDAR Segmentation. CoRR Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé
2021	—	`conf`	A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings. ICCVW Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe
2021	A*	`conf`	Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. CVPR Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé
2021	J	`jnl`	Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. CoRR Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé
2021	—	`conf`	DENETHOR: The DynamicEarthNET dataset for Harmonized, inter-Operable, analysis-Ready, daily crop monitoring from space. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	DeepLab2: A TensorFlow Library for Deep Labeling. CoRR 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
2021	A*	`conf`	EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. ICRA Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé
2021	J	`jnl`	EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. CoRR Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé
2021	J	`jnl`	HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. Int. J. Comput. Vis. Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe
2021	A*	`conf`	Learning Intra-Batch Connections for Deep Metric Learning. ICML Jenny Denise Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
2021	J	`jnl`	Learning Intra-Batch Connections for Deep Metric Learning. CoRR Jenny Seidenschwarz, Ismail Elezi, Laura Leal-Taixé
2021	A*	`conf`	MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. ICCV Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
2021	J	`jnl`	MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. CoRR Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
2021	J	`jnl`	MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking. Int. J. Comput. Vis. Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian Reid, Stefan Roth, Laura Leal-Taixé
2021	A*	`conf`	MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? ICCV Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara
2021	J	`jnl`	MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? CoRR Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara
2021	J	`jnl`	Opening up Open-World Tracking. CoRR Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé
2021	A*	`conf`	Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. CVPR Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé
2021	—	`conf`	STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	STEP: Segmenting and Tracking Every Pixel. CoRR 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
2021	J	`jnl`	Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite Images. CoRR Lukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiaoxiang Zhu
2021	J	`jnl`	The 2021 Image Similarity Dataset and Challenge. CoRR 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
2021	A*	`conf`	The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. ICCV Guillem Brasó, Nikita Kister, Laura Leal-Taixé
2021	J	`jnl`	The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. CoRR Guillem Brasó, Nikita Kister, Laura Leal-Taixé
2021	J	`jnl`	Towards Reducing Labeling Cost in Deep Object Detection. CoRR Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez
2021	J	`jnl`	TrackFormer: Multi-Object Tracking with Transformers. CoRR Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
2021	A*	`conf`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. ICRA Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2021	J	`jnl`	Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning. CoRR Patrick Wenzel, Torsten Schön, Laura Leal-Taixé, Daniel Cremers
2020	A*	`conf`	CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CVPR Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
2020	J	`jnl`	CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks. CoRR Maxim Maximov, Ismail Elezi, Laura Leal-Taixé
2020	A*	`conf`	Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. NeurIPS Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2020	J	`jnl`	Deep Shells: Unsupervised Shape Correspondence with Optimal Transport. CoRR Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Daniel Cremers
2020	A*	`conf`	Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation. CVPR Maxim Maximov, Kevin Galim, Laura Leal-Taixé
2020	J	`jnl`	Focus on defocus: bridging the synthetic to real domain gap for depth estimation. CoRR Maxim Maximov, Kevin Galim, Laura Leal-Taixé
2020	—	`conf`	Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. ACCV (2) Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé
2020	J	`jnl`	Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. CoRR Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé
2020	J	`jnl`	HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking. CoRR Jonathon Luiten, Aljosa Osep, Patrick Dendorfer, Philip H. S. Torr, Andreas Geiger, Laura Leal-Taixé, Bastian Leibe
2020	A	`conf`	HistoNet: Predicting size histograms of object instances. WACV Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixé, Jan Dirk Wegner
2020	A*	`conf`	How to Train Your Deep Multi-Object Tracker. CVPR Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda
2020	J	`jnl`	Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning. Remote. Sens. Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler
2020	J	`jnl`	Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine Learning. CoRR Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler
2020	J	`jnl`	Lake Ice Monitoring with Webcams and Crowd-Sourced Images. CoRR Rajanie Prabha, Manu Tom, Mathias Rothermel, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler
2020	J	`jnl`	Learn to Predict Sets Using Feed-Forward Neural Networks. CoRR Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Anton Milan, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
2020	A*	`conf`	Learning a Neural Solver for Multiple Object Tracking. CVPR Guillem Brasó, Laura Leal-Taixé
2020	J	`jnl`	Learning temporal coherence via self-supervision for GAN-based video generation. ACM Trans. Graph. Mengyu Chu, You Xie, Jonas Mayer, Laura Leal-Taixé, Nils Thuerey
2020	J	`jnl`	MOT20: A benchmark for multi object tracking in crowded scenes. CoRR Patrick Dendorfer, Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé
2020	J	`jnl`	MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking. CoRR Patrick Dendorfer, Aljosa Osep, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth, Laura Leal-Taixé
2020	A*	`conf`	Make One-Shot Video Object Segmentation Efficient Again. NeurIPS Tim Meinhardt, Laura Leal-Taixé
2020	J	`jnl`	Make One-Shot Video Object Segmentation Efficient Again. CoRR Tim Meinhardt, Laura Leal-Taixé
2020	A	`conf`	Making a Case for 3D Convolutions for Object Segmentation in Videos. BMVC Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe, Sebastian Hennen
2020	J	`jnl`	Making a Case for 3D Convolutions for Object Segmentation in Videos. CoRR Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Sebastian Hennen, Laura Leal-Taixé, Bastian Leibe
2020	J	`jnl`	Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. CoRR Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé
2020	—	`conf`	Planning from Images with Deep Latent Gaussian Process Dynamics. L4DC Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
2020	J	`jnl`	Planning from Images with Deep Latent Gaussian Process Dynamics. CoRR Nathanael Bosch, Jan Achterhold, Laura Leal-Taixé, Jörg Stückler
2020	—	`conf`	STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos. ECCV (11) Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe
2020	J	`jnl`	STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos. CoRR Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe
2020	—	`conf`	The Group Loss for Deep Metric Learning. ECCV (7) Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2020	A*	`conf`	To Learn or Not to Learn: Visual Localization from Essential Matrices. ICRA Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixé
2019	J	`jnl`	CVPR19 Tracking and Detection Challenge: How crowded can it get? CoRR Patrick Dendorfer, Seyed Hamid Rezatofighi, Anton Milan, Javen Shi, Daniel Cremers, Ian D. Reid, Stefan Roth, Konrad Schindler, Laura Leal-Taixé
2019	—	`ed.`	Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part I ECCV Workshops (1) Laura Leal-Taixé, Stefan Roth
2019	—	`ed.`	Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part II ECCV Workshops (2) Laura Leal-Taixé, Stefan Roth
2019	—	`ed.`	Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part III ECCV Workshops (3) Laura Leal-Taixé, Stefan Roth
2019	—	`ed.`	Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part IV ECCV Workshops (4) Laura Leal-Taixé, Stefan Roth
2019	—	`ed.`	Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part V ECCV Workshops (5) Laura Leal-Taixé, Stefan Roth
2019	—	`ed.`	Computer Vision - ECCV 2018 Workshops - Munich, Germany, September 8-14, 2018, Proceedings, Part VI ECCV Workshops (6) Laura Leal-Taixé, Stefan Roth
2019	A*	`conf`	Deep Appearance Maps. ICCV Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz
2019	J	`jnl`	HistoNet: Predicting size histograms of object instances. CoRR Kishan Sharma, Moritz Gold, Christian Zurbruegg, Laura Leal-Taixé, Jan Dirk Wegner
2019	J	`jnl`	Learning a Neural Solver for Multiple Object Tracking. CoRR Guillem Brasó, Laura Leal-Taixé
2019	J	`jnl`	The Group Loss for Deep Metric Learning. CoRR Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé
2019	J	`jnl`	To Learn or Not to Learn: Visual Localization from Essential Matrices. CoRR Qunjie Zhou, Torsten Sattler, Marc Pollefeys, Laura Leal-Taixé
2019	A	`conf`	Towards Generalizing Sensorimotor Control Across Weather Conditions. IROS Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé
2019	J	`jnl`	Towards Generalizing Sensorimotor Control Across Weather Conditions. CoRR Qadeer Khan, Patrick Wenzel, Daniel Cremers, Laura Leal-Taixé
2019	A*	`conf`	Tracking Without Bells and Whistles. ICCV Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé
2019	J	`jnl`	Tracking without bells and whistles. CoRR Philipp Bergmann, Tim Meinhardt, Laura Leal-Taixé
2019	A*	`conf`	Understanding the Limitations of CNN-Based Absolute Camera Pose Regression. CVPR Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé
2019	J	`jnl`	Understanding the Limitations of CNN-based Absolute Camera Pose Regression. CoRR Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixé
2019	J	`jnl`	Video Object Segmentation without Temporal Information. IEEE Trans. Pattern Anal. Mach. Intell. Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2018	—	`conf`	Deep Depth from Focus. ACCV (3) Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taixé, Daniel Cremers
2018	J	`jnl`	Deep Perm-Set Net: Learn to predict sets with unknown permutation and cardinality using deep neural networks. CoRR Seyed Hamid Rezatofighi, Roman Kaskman, Farbod T. Motlagh, Qinfeng Shi, Daniel Cremers, Laura Leal-Taixé, Ian D. Reid
2018	A*	`conf`	Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs. CVPR Emanuel Laude, Jan-Hendrik Lange, Jonas Schüpfer, Csaba Domokos, Laura Leal-Taixé, Frank R. Schmidt, Bjoern Andres, Daniel Cremers
2018	—	`conf`	Fusion of Head and Full-Body Detectors for Multi-Object Tracking. CVPR Workshops Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
2018	—	`conf`	Lifting Layers: Analysis and Applications. ECCV (1) Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
2018	J	`jnl`	Lifting Layers: Analysis and Applications. CoRR Peter Ochs, Tim Meinhardt, Laura Leal-Taixé, Michael Möller
2018	Misc	`conf`	Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. CoRL Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé
2018	J	`jnl`	Modular Vehicle Control for Transferring Semantic Information to Unseen Weather Conditions using GANs. CoRR Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixé
2018	J	`jnl`	Temporally Coherent GANs for Video Super-Resolution (TecoGAN). CoRR Mengyu Chu, You Xie, Laura Leal-Taixé, Nils Thuerey
2017	J	`jnl`	Automatic tracking of vessel-like structures from a single starting point. CoRR Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn
2017	J	`jnl`	Deep Depth From Focus. CoRR Caner Hazirbas, Laura Leal-Taixé, Daniel Cremers
2017	J	`jnl`	Deep Learning for Computer Vision (Dagstuhl Seminar 17391). Dagstuhl Reports Daniel Cremers, Laura Leal-Taixé, René Vidal
2017	A*	`conf`	Image-Based Localization Using LSTMs for Structured Feature Correlation. ICCV Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers
2017	J	`jnl`	Improvements to Frank-Wolfe optimization for multi-detector multi-object tracking. CoRR Roberto Henschel, Laura Leal-Taixé, Daniel Cremers, Bodo Rosenhahn
2017	A*	`conf`	One-Shot Video Object Segmentation. CVPR Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2017	J	`jnl`	Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking. CoRR Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth
2017	J	`jnl`	Video Object Segmentation Without Temporal Information. CoRR Kevis-Kokitsi Maninis, Sergi Caelles, Yuhua Chen, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2016	J	`jnl`	Automatic tracking of vessel-like structures from a single starting point. Comput. Medical Imaging Graph. Dário Augusto Borges Oliveira, Laura Leal-Taixé, Raul Queiroz Feitosa, Bodo Rosenhahn
2016	J	`jnl`	Image-based Localization with Spatial LSTMs. CoRR Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck, Daniel Cremers
2016	—	`conf`	Learning by Tracking: Siamese CNN for Robust Target Association. CVPR Workshops Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler
2016	J	`jnl`	Learning by tracking: Siamese CNN for robust target association. CoRR Laura Leal-Taixé, Cristian Canton-Ferrer, Konrad Schindler
2016	J	`jnl`	MOT16: A Benchmark for Multi-Object Tracking. CoRR Anton Milan, Laura Leal-Taixé, Ian D. Reid, Stefan Roth, Konrad Schindler
2016	J	`jnl`	One-Shot Video Object Segmentation. CoRR Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, Luc Van Gool
2016	J	`jnl`	Tracking with multi-level features. CoRR Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn, Konrad Schindler
2015	A*	`conf`	Continuous Pose Estimation with a Spatial Ensemble of Fisher Regressors. ICCV Michele Fenzi, Laura Leal-Taixé, Jörn Ostermann, Tinne Tuytelaars
2015	J	`jnl`	Holistic Scene Understanding (Dagstuhl Seminar 15081). Dagstuhl Reports Jiri Matas, Vittorio Murino, Bodo Rosenhahn, Laura Leal-Taixé
2015	A*	`conf`	Joint tracking and segmentation of multiple targets. CVPR Anton Milan, Laura Leal-Taixé, Konrad Schindler, Ian D. Reid
2015	J	`jnl`	MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. CoRR Laura Leal-Taixé, Anton Milan, Ian D. Reid, Stefan Roth, Konrad Schindler
2015	A	`conf`	Pose Estimation of Object Categories in Videos Using Linear Programming. WACV Michele Fenzi, Laura Leal-Taixé, Konrad Schindler, Jörn Ostermann
2015	—	`conf`	Solving Multiple People Tracking in a Minimum Cost Arborescence. WACV Workshops Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn
2014	—	`conf`	Efficient Multiple People Tracking Using Minimum Cost Arborescences. GCPR Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn
2014	A*	`conf`	Learning an Image-Based Motion Context for Multiple People Tracking. CVPR Laura Leal-Taixé, Michele Fenzi, Alina Kuznetsova, Bodo Rosenhahn, Silvio Savarese
2014	J	`jnl`	Multiple object tracking with context awareness. CoRR Laura Leal-Taixé
2014	—	`—`	Multiple object tracking with context awareness. Laura Leal-Taixé
2013	A*	`conf`	Class Generative Models Based on Feature Regression for Pose Estimation of Object Categories. CVPR Michele Fenzi, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann
2013	—	`ch.`	Pedestrian Interaction in Tracking: The Social Force Model and Global Optimization Methods. Modeling, Simulation and Visual Analysis of Crowds Laura Leal-Taixé, Bodo Rosenhahn
2013	—	`conf`	Real-Time Sign Language Recognition Using a Consumer Depth Camera. ICCV Workshops Alina Kuznetsova, Laura Leal-Taixé, Bodo Rosenhahn
2012	—	`conf`	3D Object Recognition and Pose Estimation for Multiple Objects Using Multi-Prioritized RANSAC and Model Updating. DAGM/OAGM Symposium Michele Fenzi, Ralf Dragon, Laura Leal-Taixé, Bodo Rosenhahn, Jörn Ostermann
2012	A*	`conf`	Branch-and-price global optimization for multi-view multi-target tracking. CVPR Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn
2012	—	`ed.`	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 Theoretical Foundations of Computer Vision Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, Bodo Rosenhahn
2011	—	`conf`	Data-Driven Manifolds for Outdoor Motion Capture. Theoretical Foundations of Computer Vision Gerard Pons-Moll, Laura Leal-Taixé, Juergen Gall, Bodo Rosenhahn
2011	—	`conf`	Efficient and Robust Shape Matching for Model Based Human Motion Capture. DAGM-Symposium Gerard Pons-Moll, Laura Leal-Taixé, Tri Truong, Bodo Rosenhahn
2011	—	`conf`	Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker. ICCV Workshops Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn
2011	—	`conf`	Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors. Theoretical Foundations of Computer Vision Laura Leal-Taixé, Gerard Pons-Moll, Bodo Rosenhahn
2011	A*	`conf`	Outdoor human motion capture using inverse kinematics and von mises-fisher sampling. ICCV Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taixé, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn
2010	—	`conf`	Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data. DAGM-Symposium Laura Leal-Taixé, Matthias Heydt, Sebastian Weiße, Axel Rosenhahn, Bodo Rosenhahn
2010	—	`conf`	Understanding What we Cannot See: Automatic Analysis of 4D Digital In-Line Holographic Microscopy Data. Video Processing and Computational Video Laura Leal-Taixé, Matthias Heydt, Axel Rosenhahn, Bodo Rosenhahn