Aljosa Osep, Ph.D.

X. Wu, K. Lau, F. Ferroni, A. Ošep, D. Ramanan: Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images, Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
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V. Fomenko, I. Elezi, D. Ramanan, L. Leal-Taixé, A. Ošep: Learning to Discover and Detect Objects, Neural Information Processing Systems (NeurIPS), 2022.
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P. Dendorfer, V. Yugay, A. Ošep, L. Leal-Taixé: Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?, Neural Information Processing Systems (NeurIPS), 2022.
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A. Kim, G. Brasó, A. Ošep, L. Leal-Taixé: PolarMOT: How far can geometric relations take us in 3D multi-object tracking?, European Conference on Computer Vision (ECCV), 2022.
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Q. Zhou, S. Agostinho, A. Ošep, L. Leal-Taixé: Is Geometry Enough for Matching in Visual Localization?, European Conference on Computer Vision (ECCV), 2022.
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L. Nunes, X. Chen, R. Marcuzzi, A. Ošep, L. Leal-Taixé, C. Stachniss, J. Behley: Unsupervised Class-Agnostic Instance Segmentation of 3D LiDAR Data for Autonomous Vehicles, IEEE Robotics and Automation Letters (RA-L), 2022.
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M. Gladkova, N. Korobov, N. Demmel, A. Ošep, L. Leal-Taixé, D. Cremers: DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment, International Conference on Intelligent Robots and Systems (IROS), 2022.
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N. Peri, J. Luiten, M. Li, A. Ošep, L. Leal-Taixé, D. Ramanan: Forecasting from LiDAR via Future Object Detection, Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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M. Kolmet, Q. Zhou, A. Ošep, L. Leal-Taixé: Towards cross-modal pose localization from text-based position descriptions, Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
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Y. Liu, I. Zulfikar, J. Luiten, A. Dave, D. Ramanan, B. Leibe, A. Ošep, L. Leal-Taixé: Opening up Open-World Tracking, Conference on Computer Vision and Pattern Recognition (CVPR), oral, 2022.
code paper

S. Agostinho, A. Ošep, A. Del Bue, L. Leal-Taixé: (Just) A Spoonful of Refinements Helps the Registration Error Go Down, International Conference on Computer Vision (ICCV) (oral), 2021.
code paper

M. Fabbri, G. Brasó, G. Maugeri, A. Ošep, R. Gasparini, O. Cetintas, S. Calderara, L. Leal-Taixé, R. Cucchiara: MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?, International Conference on Computer Vision (ICCV), 2021.
video paper

M. Aygün, A. Ošep, M. Weber, M. Maximov, C. Stachniss, J. Behley, L. Leal-Taixé: 4D Panoptic LiDAR Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
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A. Kim, A. Ošep, L. Leal-Taixé: EagerMOT: 3D Multi-Object Tracking via Sensor Fusion, IEEE International Conference on Robotics and Automation (ICRA), 2021.
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M. Weber, J. Xie, M. Collins, Y. Zhu, P. Voigtlaender, H. Adam, B. Green, A. Geiger, B. Leibe, D. Cremers, A. Os̆ep, L. Leal-Taixé, L. Chen: STEP: Segmenting and Tracking Every Pixel, NeurIPS Benchmarks and Datasets, 2022.
code paper

P. Dendorfer, A. Ošep, L. Leal-Taixé: Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation, Asian Conference on Computer Vision (ACCV), 2020.
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P. Dendorfer, A. Ošep, A. Milan, K. Schindler, D. Cremers, I. Reid, S. Leal-Taixé: MOTChallenge: A Benchmark for Single-camera Multiple Target Tracking, International Journal of Computer Vision (IJCV), 2020.
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J. Luiten, A. Ošep, P. Dendorfer, P. Torr, A. Geiger, L. Leal-Taixé, B. Leibe: HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking, International Journal of Computer Vision (IJCV), 2020.
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S. Mahadevan*, A. Athar*, A. Ošep, S. Hennen, L. Leal-Taixé, B. Leibe: Making a Case for 3D Convolutions for Object Segmentation in Videos, British Machine Vision Conference (BMVC), 2020.
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A. Athar*, S. Mahadevan*, A. Ošep, L. Leal-Taixé, B. Leibe: STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos, European Conference on Computer Vision (ECCV), 2020.
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Y. Xu, A. Ošep, Y. Ban, R. Horaud, L. Leal-Taixé, X. Alameda-Pineda: How To Train Your Deep Multi-Object Tracker, Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
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J. Gross, A. Ošep, B. Leibe: AlignNet-3D for Fast Point Cloud Registration of Partially Observed Objects, International Conference on 3D Vision (3DV), 2019.
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P. Voigtlaender, M. Krause, A. Ošep, J. Luiten, B. Sekar, A. Geiger, B. Leibe: {MOTS}: Multi-Object Tracking and Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
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A. Ošep, P. Voigtlaender, M. Weber, J. Luiten, B. Leibe: 4D Generic Video Object Proposals, International Conference on Robotics and Automation (ICRA), 2020.
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A. Ošep, P. Voigtlaender, J. Luiten, S. Breuers, B. Leibe: Large-Scale Object Mining for Object Discovery from Unlabeled Video, International Conference on Robotics and Automation (ICRA), 2019.
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A. Ošep, W. Mehner, P. Voigtlaender, B. Leibe: Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking, International Conference on Robotics and Automation (ICRA), 2018.
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A. Ošep, P. Voigtlaender, J. Luiten, S. Breuers, B. Leibe: Towards Large-Scale Video Object Mining, ECCV 2018 Workshop on Interactive and Adaptive Learning in an Open World, 2018.
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A. Ošep, W. Mehner, M. Mathias, B. Leibe: Combined Image- and World-Space Tracking in Traffic Scenes, International Conference on Robotics and Automation (ICRA), 2017.
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D. Klostermann, A. Ošep, J. Stueckler, B. Leibe: Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes, British Machine Vision Conference (BMVC), 2016.
video paper

D. Kochanov, A. Ošep, J. Stueckler, B. Leibe: Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes, International Conference on Intelligent Robots and Systems (IROS), 2016.
video paper

A. Ošep, A. Hermans, F. Engelmann, D. Klostermann, M. Mathias, B. Leibe: Multi-Scale Object Candidates for Generic Object Tracking in Street Scenes, International Conference on Robotics and Automation (ICRA), 2016.
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D. Mitzel, J. Diesel, A. Ošep, U. Rafi, B. Leibe: A Fixed-Dimensional 3D Shape Representation for Matching Partially Observed Objects in Street Scenes, International Conference on Robotics and Automation (ICRA), 2015.
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M. Weinmann, A. Ošep, R. Ruiters, R. Klein: Multi-View Normal Field Integration for 3D Reconstruction of Mirroring Objects, International Conference on Computer Vision (ICCV), 2013.
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M. Weinmann, R. Ruiters, A. Ošep, C. Schwartz, R. Klein: Fusing Structured Light Consistency and Helmholtz Normals for 3D Reconstruction, British Machine Vision Conference (BMVC), 2012.
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