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ORCIDAljosa Osep
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- affiliation: Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
[c35]Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey, Laura Leal-Taixé:
SeMoLi: What Moves Together Belongs Together. CVPR 2024: 14685-14694- [c34]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. ECCV (39) 2024: 71-90 - [i32]Jenny Seidenschwarz, Aljosa Osep, Francesco Ferroni, Simon Lucey
, Laura Leal-Taixé:
SeMoLi: What Moves Together Belongs Together. CoRR abs/2402.19463 (2024) - [i31]Aljosa Osep, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé:
Better Call SAL: Towards Learning to Segment Anything in Lidar. CoRR abs/2403.13129 (2024) - [i30]Anirudh S. Chakravarthy, Meghana Reddy Ganesina, Peiyun Hu, Laura Leal-Taixé, Shu Kong, Deva Ramanan, Aljosa Osep:
Lidar Panoptic Segmentation in an Open World. CoRR abs/2409.14273 (2024) - 2023
- [c33]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. CVPR 2023: 17514-17523 - [c32]Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé:
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. ICCV 2023: 196-206 - [c31]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: 7667-7674 - [i29]Xindi Wu, KwunFung Lau, Francesco Ferroni, Aljosa Osep, Deva Ramanan:
Pix2Map: Cross-modal Retrieval for Inferring Street Maps from Images. CoRR abs/2301.04224 (2023) - [i28]Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé:
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. CoRR abs/2304.11705 (2023) - [i27]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 abs/2310.12464 (2023) - 2022
- [j3]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): 8713-8720 (2022) - [c30]Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé:
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. CVPR 2022: 6677-6686 - [c29]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CVPR 2022: 17181-17190 - [c28]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: 19023-19033 - [c27]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: 41-58 - [c26]Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé:
Is Geometry Enough for Matching in Visual Localization? ECCV (10) 2022: 407-425 - [c25]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: 3777-3784 - [c24]Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé:
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? NeurIPS 2022 - [c23]Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep:
Learning to Discover and Detect Objects. NeurIPS 2022 - [i26]Qunjie Zhou, Sérgio Agostinho, Aljosa Osep, Laura Leal-Taixé:
Is Geometry Enough for Matching in Visual Localization? CoRR abs/2203.12979 (2022) - [i25]Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé:
Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. CoRR abs/2203.15125 (2022) - [i24]Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan:
Forecasting from LiDAR via Future Object Detection. CoRR abs/2203.16297 (2022) - [i23]Aleksandr Kim, Guillem Brasó, Aljosa Osep, Laura Leal-Taixé:
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking? CoRR abs/2208.01957 (2022) - [i22]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 abs/2209.14965 (2022) - [i21]Patrick Dendorfer, Vladimir Yugay, Aljosa Osep, Laura Leal-Taixé:
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking? CoRR abs/2210.07681 (2022) - [i20]Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep:
Learning to Discover and Detect Objects. CoRR abs/2210.10774 (2022) - 2021
- [j2]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): 548-578 (2021) - [j1]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): 845-881 (2021) - [c22]Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CVPR 2021: 5527-5537 - [c21]Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé:
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. ICCV 2021: 6088-6097 - [c20]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: 10829-10839 - [c19]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: 3851-3855 - [c18]Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé:
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. ICRA 2021: 11315-11321 - [c17]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 - [i19]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 abs/2102.11859 (2021) - [i18]Mehmet Aygün, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé:
4D Panoptic LiDAR Segmentation. CoRR abs/2102.12472 (2021) - [i17]Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Aljosa Osep, Deva Ramanan, Bastian Leibe, Laura Leal-Taixé:
Opening up Open-World Tracking. CoRR abs/2104.11221 (2021) - [i16]Aleksandr Kim, Aljosa Osep, Laura Leal-Taixé:
EagerMOT: 3D Multi-Object Tracking via Sensor Fusion. CoRR abs/2104.14682 (2021) - [i15]Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé:
(Just) A Spoonful of Refinements Helps the Registration Error Go Down. CoRR abs/2108.03257 (2021) - [i14]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 abs/2108.09518 (2021) - 2020
- [c16]Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé:
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. ACCV (2) 2020: 405-420 - [c15]Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe, Sebastian Hennen:
Making a Case for 3D Convolutions for Object Segmentation in Videos. BMVC 2020 - [c14]Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud, Laura Leal-Taixé, Xavier Alameda-Pineda:
How to Train Your Deep Multi-Object Tracker. CVPR 2020: 6786-6795 - [c13]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos. ECCV (11) 2020: 158-177 - [c12]Aljosa Osep, Paul Voigtlaender, Mark Weber, Jonathon Luiten, Bastian Leibe:
4D Generic Video Object Proposals. ICRA 2020: 10031-10037 - [i13]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos. CoRR abs/2003.08429 (2020) - [i12]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 abs/2008.11516 (2020) - [i11]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 abs/2009.07736 (2020) - [i10]Patrick Dendorfer, Aljosa Osep, Laura Leal-Taixé:
Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation. CoRR abs/2010.01114 (2020) - [i9]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 abs/2010.07548 (2020)
2010 – 2019
- 2019
- [b1]Aljosa Osep:
Vision-based category agnostic object tracking for mobile robots and intelligent vehicles / Aljose Osep ; Bastian Leibe, David Held. RWTH Aachen University, Germany, 2019 - [c11]Johannes Groß, Aljosa Osep, Bastian Leibe:
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects. 3DV 2019: 623-632 - [c10]Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe:
MOTS: Multi-Object Tracking and Segmentation. CVPR 2019: 7942-7951 - [c9]Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe:
Large-Scale Object Mining for Object Discovery from Unlabeled Video. ICRA 2019: 5502-5508 - [i8]Aljosa Osep, Paul Voigtlaender, Mark Weber, Jonathon Luiten, Bastian Leibe:
4D Generic Video Object Proposals. CoRR abs/1901.09260 (2019) - [i7]Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe:
MOTS: Multi-Object Tracking and Segmentation. CoRR abs/1902.03604 (2019) - [i6]Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe:
Large-Scale Object Mining for Object Discovery from Unlabeled Video. CoRR abs/1903.00362 (2019) - [i5]Johannes Groß, Aljosa Osep, Bastian Leibe:
AlignNet-3D: Fast Point Cloud Registration of Partially Observed Objects. CoRR abs/1910.04668 (2019) - 2018
- [c8]Aljosa Osep, Wolfgang Mehner, Paul Voigtlaender, Bastian Leibe:
Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking. ICRA 2018: 1-8 - [i4]Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe:
Towards Large-Scale Video Video Object Mining. CoRR abs/1809.07316 (2018) - [i3]Aljosa Osep, Wolfgang Mehner, Markus Mathias, Bastian Leibe:
Combined Image- and World-Space Tracking in Traffic Scenes. CoRR abs/1809.07357 (2018) - 2017
- [c7]Aljosa Osep, Wolfgang Mehner, Markus Mathias, Bastian Leibe:
Combined image- and world-space tracking in traffic scenes. ICRA 2017: 1988-1995 - [i2]Aljosa Osep, Wolfgang Mehner, Paul Voigtlaender, Bastian Leibe:
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking. CoRR abs/1712.07920 (2017) - [i1]Aljosa Osep, Paul Voigtlaender, Jonathon Luiten, Stefan Breuers, Bastian Leibe:
Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video. CoRR abs/1712.08832 (2017) - 2016
- [c6]Dirk Klostermann, Aljosa Osep, Jörg Stückler, Bastian Leibe:
Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes. BMVC 2016 - [c5]Aljosa Osep, Alexander Hermans, Francis Engelmann, Dirk Klostermann, Markus Mathias, Bastian Leibe:
Multi-scale object candidates for generic object tracking in street scenes. ICRA 2016: 3180-3187 - [c4]Deyvid Kochanov, Aljosa Osep, Jörg Stückler, Bastian Leibe:
Scene flow propagation for semantic mapping and object discovery in dynamic street scenes. IROS 2016: 1785-1792 - 2015
- [c3]Dennis Mitzel, Jasper Diesel, Aljosa Osep, Umer Rafi, Bastian Leibe:
A fixed-dimensional 3D shape representation for matching partially observed objects in street scenes. ICRA 2015: 1336-1343 - 2013
- [c2]Michael Weinmann, Aljosa Osep, Roland Ruiters, Reinhard Klein:
Multi-view Normal Field Integration for 3D Reconstruction of Mirroring Objects. ICCV 2013: 2504-2511 - 2012
- [c1]Michael Weinmann, Roland Ruiters, Aljosa Osep, Christopher Schwartz, Reinhard Klein:
Fusing Structured Light Consistency and Helmholtz Normals for 3D Reconstruction. BMVC 2012: 1-12
Coauthor Index
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last updated on 2024-10-16 21:26 CEST by the dblp team
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