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Aseem Behl
Aseem Behl
University of Tübingen
uni-tuebingen.de üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
11682020
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
1802017
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
1492019
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
1022020
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
892020
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
482020
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
312014
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
142011
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
122014
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
52014
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
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