Aljosa Osep, Ph.D.

A. Chakravarthy, M. Ganesina, P. Hu, L. Leal-Taixe, S. Kong, D. Ramanan, A. Ošep: Lidar Panoptic Segmentation in an Open World, International Journal of Computer Vision (IJCV), 2024.
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A. Ošep, T. Meinhardt, F. Ferroni, N. Peri, D. Ramanan, L. Leal-Taixe: Better Call SAL: Towards Learning to Segment Anything in Lidar, European Conference on Computer Vision (ECCV), 2024.
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J. Seidenschwarz, A. Ošep, F. Ferroni, S. Lucey, L. Leal-Taixe: What Moves Together Belongs Together, Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
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C. Saltori, A. Ošep, E. Ricci, L. Leal-Taixé: Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation, International Conference on Computer Vision (ICCV), 2023.
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A. Agarwalla, X. Huang, J. Ziglar, F. Ferroni, L. Leal-Taixé, J. Hays, A. Ošep, D. Ramanan: Lidar Panoptic Segmentation and Tracking without Bells and Whistles, International Conference on Intelligent Robots and Systems (IROS), 2023.
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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: Text2Pos: Text-to-point-cloud cross-modal localization, 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.
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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.
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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.
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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.
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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.
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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.
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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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