| Bayesian geometric modeling of indoor scenes L Del Pero, J Bowdish, D Fried, B Kermgard, E Hartley, K Barnard 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2719-2726, 2012 | 162 | 2012 |
| Understanding bayesian rooms using composite 3d object models L Del Pero, J Bowdish, B Kermgard, E Hartley, K Barnard Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 110 | 2013 |
| Sampling bedrooms L Del Pero, J Guan, E Brau, J Schlecht, K Barnard CVPR 2011, 2009-2016, 2011 | 75 | 2011 |
| Simnet: Learning reactive self-driving simulations from real-world observations L Bergamini, Y Ye, O Scheel, L Chen, C Hu, L Del Pero, B Osiński, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 5119-5125, 2021 | 56 | 2021 |
| Visual tracking of small animals in cluttered natural environments using a freely moving camera B Risse, M Mangan, L Del Pero, B Webb Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 45 | 2017 |
| Articulated motion discovery using pairs of trajectories L Del Pero, S Ricco, R Sukthankar, V Ferrari Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 44 | 2015 |
| Autonomy 2.0: Why is self-driving always 5 years away? A Jain, L Del Pero, H Grimmett, P Ondruska arXiv preprint arXiv:2107.08142, 2021 | 32 | 2021 |
| Bayesian 3D tracking from monocular video E Brau, J Guan, K Simek, L Del Pero, CR Dawson, K Barnard Proceedings of the IEEE International Conference on Computer Vision, 3368-3375, 2013 | 25 | 2013 |
| Behavior discovery and alignment of articulated object classes from unstructured video L Del Pero, S Ricco, R Sukthankar, V Ferrari International Journal of Computer Vision 121, 303-325, 2017 | 17 | 2017 |
| Collaborative augmented reality on smartphones via life-long city-scale maps L Platinsky, M Szabados, F Hlasek, R Hemsley, L Del Pero, A Pancik, ... 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2020 | 16 | 2020 |
| Discovering the physical parts of an articulated object class from multiple videos L Del Pero, S Ricco, R Sukthankar, V Ferrari Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 11 | 2016 |
| What data do we need for training an av motion planner? L Chen, L Platinsky, S Speichert, B Osiński, O Scheel, Y Ye, H Grimmett, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 1066-1072, 2021 | 7 | 2021 |
| Systems and methods for generating lane data using vehicle trajectory sampling L Del Pero, R Kesten, S Simsa, M Szabados US Patent App. 16/917,680, 2021 | 3 | 2021 |
| Multi-Collect Fusion L Del Pero, KTMEA Shaban US Patent App. 16/917,793, 2021 | 3 | 2021 |
| Video temporal alignment for object viewpoint A Papazoglou, L Del Pero, V Ferrari Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 3 | 2017 |
| Recovering spatiotemporal correspondence between deformable objects by exploiting consistent foreground motion in video L Del Pero, S Ricco, R Sukthankar, V Ferrari arXiv preprint arXiv:1412.0477, 2014 | 3 | 2014 |
| Systems and methods for calibration of sensors on a vehicle DTZ Lu, CF Cull, L Del Pero, JM Dyer, CJ Richey US Patent App. 17/075,569, 2022 | 2 | 2022 |
| Guided batching L Chen, BA Haines, L Del Pero US Patent 10,914,605, 2021 | 2 | 2021 |
| Discovering object aspects from video A Papazoglou, L Del Pero, V Ferrari Image and Vision Computing 52, 206-217, 2016 | 2 | 2016 |
| Guided batching L Chen, BA Haines, L Del Pero US Patent 11,651,513, 2023 | 1 | 2023 |
Kobus BarnardProfessor of Computer Science, University of ArizonaVerified email at cs.arizona.edu
