| Real-time grasp detection using convolutional neural networks J Redmon, A Angelova 2015 IEEE international conference on robotics and automation (ICRA), 1316-1322, 2015 | 778 | 2015 |
| Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints R Mahjourian, M Wicke, A Angelova Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 715 | 2018 |
| Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos V Casser, S Pirk, R Mahjourian, A Angelova Proceedings of the AAAI conference on artificial intelligence 33 (01), 8001-8008, 2019 | 426 | 2019 |
| Depth from videos in the wild: Unsupervised monocular depth learning from unknown cameras A Gordon, H Li, R Jonschkowski, A Angelova Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 320 | 2019 |
| Real-time pedestrian detection with deep network cascades A Angelova, A Krizhevsky, V Vanhoucke, A Ogale, D Ferguson | 300 | 2015 |
| Computer vision on Mars L Matthies, M Maimone, A Johnson, Y Cheng, R Willson, C Villalpando, ... International Journal of Computer Vision 75, 67-92, 2007 | 282 | 2007 |
| Efficient object detection and segmentation for fine-grained recognition A Angelova, S Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 264 | 2013 |
| Pruning training sets for learning of object categories A Angelova, Y Abu-Mostafam, P Perona 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 188 | 2005 |
| Learning and prediction of slip from visual information A Angelova, L Matthies, D Helmick, P Perona Journal of Field Robotics 24 (3), 205-231, 2007 | 172 | 2007 |
| Terrain adaptive navigation for planetary rovers D Helmick, A Angelova, L Matthies Journal of Field Robotics 26 (4), 391-410, 2009 | 135 | 2009 |
| Pedestrian detection with a large-field-of-view deep network A Angelova, A Krizhevsky, V Vanhoucke 2015 IEEE international conference on robotics and automation (ICRA), 704-711, 2015 | 132 | 2015 |
| Evolving losses for unsupervised video representation learning AJ Piergiovanni, A Angelova, MS Ryoo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 131 | 2020 |
| What matters in unsupervised optical flow R Jonschkowski, A Stone, JT Barron, A Gordon, K Konolige, A Angelova Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 124 | 2020 |
| Shapemask: Learning to segment novel objects by refining shape priors W Kuo, A Angelova, J Malik, TY Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 116 | 2019 |
| Probabilistic object detection: Definition and evaluation D Hall, F Dayoub, J Skinner, H Zhang, D Miller, P Corke, G Carneiro, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 112 | 2020 |
| Fast terrain classification using variable-length representation for autonomous navigation A Angelova, L Matthies, D Helmick, P Perona 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 107 | 2007 |
| Learning to predict slip for ground robots A Angelova, L Matthies, D Helmick, G Sibley, P Perona Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006 | 102 | 2006 |
| Assemblenet: Searching for multi-stream neural connectivity in video architectures MS Ryoo, AJ Piergiovanni, M Tan, A Angelova arXiv preprint arXiv:1905.13209, 2019 | 94 | 2019 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... arXiv preprint arXiv:2209.06794, 2022 | 92 | 2022 |
| Towards learned traversability for robot navigation: From underfoot to the far field A Howard, M Turmon, L Matthies, B Tang, A Angelova, E Mjolsness Journal of Field Robotics 23 (11‐12), 1005-1017, 2006 | 86 | 2006 |
Daniel HelmickToyota Research InstituteVerified email at tri.global
