Vladlen Koltun - Google Scholar

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	All	Since 2015
Citations	22278	20293
h-index	68	62
i10-index	121	106

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Alexey DosovitskiyResearch Scientist, Google BrainVerified email at google.com
Philipp KrähenbühlUT AustinVerified email at cs.utexas.edu
Qian-Yi ZhouIntel LabsVerified email at intel.com
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Rene RanftlIntel LabsVerified email at intel.com
Fisher YuUC BerkeleyVerified email at berkeley.edu
Shaojie BaiMachine Learning Department, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
Jaesik ParkPOSTECHVerified email at postech.ac.kr
Felipe CodevillaMilaVerified email at cvc.uab.es
Antonio Manuel LopezUniversitat Autònoma de Barcelona (UAB) // Computer Science Dpt & Computer Vision Center (CVC)Verified email at cvc.uab.es
Jia XuHuya AIVerified email at huya.com
Siddhartha ChaudhuriAssistant Professor, IIT Bombay and Senior Research Scientist, AdobeVerified email at cse.iitb.ac.in
Vibhav VineetMicrosoft ResearchVerified email at microsoft.com
Stephan R. RichterIntelVerified email at intel.com
Jack M. WangVerified email at dgp.toronto.edu
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
Manolis SavvaSimon Fraser UniversityVerified email at sfu.ca
Evangelos KalogerakisAssociate Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Jakob EngelPhD Student, Computer Vision and Pattern Recognition Group, Technical University of MunichVerified email at in.tum.de

Vladlen Koltun

Chief Scientist for Intelligent Systems, Intel

Verified email at intel.com - Homepage

computer vision machine learning robotics computer graphics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multi-Scale Context Aggregation by Dilated Convolutions F Yu, V Koltun International Conference on Learning Representations (ICLR), 2016	3738	2016
Efficient inference in fully connected CRFs with Gaussian edge potentials P Krähenbühl, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	2281	2011
Direct Sparse Odometry J Engel, V Koltun, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3), 2018	1108	2018
CARLA: An Open Urban Driving Simulator A Dosovitskiy, G Ros, F Codevilla, A López, V Koltun Conference on Robot Learning (CoRL), 2017	884	2017
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling S Bai, JZ Kolter, V Koltun arXiv preprint arXiv:1803.01271, 2018	838	2018
Playing for Data: Ground Truth from Computer Games SR Richter, V Vineet, S Roth, V Koltun European Conference on Computer Vision (ECCV), 2016	749	2016
Guided Policy Search S Levine, V Koltun International Conference on Machine Learning (ICML), 2013	714	2013
Dilated Residual Networks F Yu, V Koltun, T Funkhouser Computer Vision and Pattern Recognition (CVPR), 2017	621	2017
Photographic Image Synthesis with Cascaded Refinement Networks Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2017	496	2017
Geodesic Object Proposals P Krähenbühl, V Koltun European Conference on Computer Vision (ECCV), 2014	380	2014
A probabilistic model for component-based shape synthesis E Kalogerakis, S Chaudhuri, D Koller, V Koltun ACM Transactions on Graphics (TOG) 31 (4), 2012	307	2012
Robust Reconstruction of Indoor Scenes S Choi, QY Zhou, V Koltun Computer Vision and Pattern Recognition (CVPR), 2015	300	2015
Interactive furniture layout using interior design guidelines P Merrell, E Schkufza, Z Li, M Agrawala, V Koltun ACM Transactions on Graphics (TOG) 30 (4), 2011	292	2011
End-to-end Driving via Conditional Imitation Learning F Codevilla, M Müller, A López, V Koltun, A Dosovitskiy International Conference on Robotics and Automation (ICRA), 2018	287	2018
Nonlinear inverse reinforcement learning with Gaussian processes S Levine, Z Popovic, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	258	2011
Computer-generated residential building layouts P Merrell, E Schkufza, V Koltun ACM Transactions on Graphics (TOG) 29 (6), 2010	256	2010
Learning to See in the Dark C Chen, Q Chen, J Xu, V Koltun Computer Vision and Pattern Recognition (CVPR), 2018	250	2018
Probabilistic reasoning for assembly-based 3D modeling S Chaudhuri, E Kalogerakis, L Guibas, V Koltun ACM Transactions on Graphics (TOG) 30 (4), 2011	235	2011
Optimizing locomotion controllers using biologically-based actuators and objectives JM Wang, SR Hamner, SL Delp, V Koltun ACM Transactions on Graphics (TOG) 31 (4), 2012	234	2012
Fast Global Registration QY Zhou, J Park, V Koltun European Conference on Computer Vision (ECCV), 2016	231	2016

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