| Computer vision for autonomous vehicles: Problems, datasets and state of the art J Janai, F Güney, A Behl, A Geiger Foundations and Trends® in Computer Graphics and Vision 12 (1–3), 1-308, 2020 | 889 | 2020 |
| Bounding boxes, segmentations and object coordinates: How important is recognition for 3d scene flow estimation in autonomous driving scenarios? A Behl, O Hosseini Jafari, S Karthik Mustikovela, H Abu Alhaija, C Rother, ... Proceedings of the IEEE International Conference on Computer Vision, 2574-2583, 2017 | 158 | 2017 |
| Pointflownet: Learning representations for rigid motion estimation from point clouds A Behl, D Paschalidou, S Donné, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 121 | 2019 |
| Exploring data aggregation in policy learning for vision-based urban autonomous driving A Prakash, A Behl, E Ohn-Bar, K Chitta, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 71 | 2020 |
| Learning situational driving E Ohn-Bar, A Prakash, A Behl, K Chitta, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 66 | 2020 |
| Label efficient visual abstractions for autonomous driving A Behl, K Chitta, A Prakash, E Ohn-Bar, A Geiger 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 38 | 2020 |
| Optimizing average precision using weakly supervised data A Behl, CV Jawahar, M Pawan Kumar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 27 | 2014 |
| Learning to rank using high-order information PK Dokania, A Behl, CV Jawahar, MP Kumar Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 12 | 2014 |
| A Corpus Linguistic Study of Bollywood Song Lyrics in the Framework of Complex Network Theory A Behl, M Choudhury International Conference on Natural Language Processing, 2011 | 11 | 2011 |
| Monocular vision based road marking recognition for driver assistance and safety M Sukhwani, S Singh, A Goyal, A Behl, P Mohapatra, BK Bharti, ... 2014 IEEE International Conference on Vehicular Electronics and Safety, 11-16, 2014 | 5 | 2014 |
| Towards recognition as a regularizer in autonomous driving A Behl Universität Tübingen, 2022 | | 2022 |
| 2015 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 37 RP Adams, K Aftab, N Ahuja, K Alahari, WBH Ali, S An, C Archambeau, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (1), 1, 2016 | | 2016 |
| Supplementary Material for Learning Situational Driving E Ohn-Bar, A Prakash, A Behl, K Chitta, A Geiger | | |
| Supplementary Material for Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving A Prakash, A Behl, E Ohn-Bar, K Chitta, A Geiger | | |
| Supplementary Material for Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? A Behl, OH Jafari, SK Mustikovela, HA Alhaija, C Rother, A Geiger | | |
| Optimizing Average Precision using Weakly Supervised Data MP Kumar | | |
| Technical Report: Learning to Rank using High-Order Information PK Dokania, A Behl, CV Jawahar, MP Kumar | | |
| Supplementary Material-Optimizing Average Precision using Weakly Supervised Data A Behl, CV Jawahar, MP Kumar | | |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI CenterVerified email at uni-tuebingen.de
