Aseem Behl

Cited by

	All	Since 2016
Citations	588	574
h-index	8	7
i10-index	6	5

280

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201420152016201720182019202020215 7 7 17 113 150 269 15

Co-authors

Andreas GeigerProfessor of Computer Science, University of Tübingen and MPI-ISVerified email at uni-tuebingen.de
Joel JanaiRobert Bosch GmbHVerified email at de.bosch.com
C. V. JawaharCVIT, IIIT Hyderabad, IndiaVerified email at iiit.ac.in
M. Pawan KumarUniversity of Oxford; DeepMindVerified email at robots.ox.ac.uk
Fatma GuneyUniversity of OxfordVerified email at robots.ox.ac.uk
Hassan Abu AlhaijaUniversity of HeidelbergVerified email at iwr.uni-heidelberg.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Kashyap ChittaMax Planck Institute for Intelligent Systems, TübingenVerified email at tue.mpg.de
Eshed Ohn-BarAssistant Professor, Boston UniversityVerified email at bu.edu
Simon Donnémax Planck institute for intelligent systems - autonomous vision groupVerified email at tue.mpg.de
Despoina PaschalidouPhD Candidate in Max Planck Institute for Intelligent Systems and ETH ZürichVerified email at tuebingen.mpg.de
Omid Hosseini JafariPhD candidate at University of HeidelbergVerified email at iwr.uni-heidelberg.de
Siva Karthik MustikovelaPhD candidate at University of HeidelbergVerified email at iwr.uni-heidelberg.de
Aditya PrakashAutonomous Vision Group, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Puneet K. DokaniaUniversity of Oxford | Five AIVerified email at robots.ox.ac.uk
Monojit ChoudhuryPrincipal Researcher, Microsoft Research Lab IndiaVerified email at microsoft.com
Anirudh GoyalMila, Université de MontréalVerified email at umontreal.ca
Pritish MohapatraAI/ML Scientist, AI Innovation Lab, Verisk Analystics

Aseem Behl

Max Planck Institute for Intelligent Systems

Verified email at tuebingen.mpg.de - Homepage

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	299	2020
Flownet3d: Learning scene flow in 3d point clouds X Liu, CR Qi, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	99	2019
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	84	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	48*	2019
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	22	2014
Learning to rank using high-order information PK Dokania, A Behl, CV Jawahar, MP Kumar European Conference on Computer Vision, 609-623, 2014	11	2014
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	8	2020
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	8	2011
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	4	2020
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	3	2014
Label efficient visual abstractions for autonomous driving A Behl, K Chitta, A Prakash, E Ohn-Bar, A Geiger arXiv preprint arXiv:2005.10091, 2020	2*	2020
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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