Vladlen Koltun

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	All	Since 2016
Citations	25812	22646
h-index	72	64
i10-index	127	111

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Alexey DosovitskiyResearch Scientist, Google BrainVerified email at google.com
Qian-Yi ZhouIntel LabsVerified email at intel.com
Sergey LevineUC Berkeley, GoogleVerified email at eecs.berkeley.edu
Philipp KrähenbühlUT AustinVerified email at cs.utexas.edu
Rene RanftlIntel LabsVerified email at intel.com
Fisher YuETH ZurichVerified email at ethz.ch
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
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
Manolis SavvaSimon Fraser UniversityVerified email at sfu.ca
Jack M. WangVerified email at dgp.toronto.edu
Marco HutterAssistant Professor, ETH ZurichVerified email at ethz.ch
Jitendra MalikProfessor of EECS, UC BerkeleyVerified email at eecs.berkeley.edu

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	4314	2016
Efficient inference in fully connected CRFs with Gaussian edge potentials P Krähenbühl, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	2504	2011
Direct Sparse Odometry J Engel, V Koltun, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3), 2018	1263	2018
CARLA: An Open Urban Driving Simulator A Dosovitskiy, G Ros, F Codevilla, A López, V Koltun Conference on Robot Learning (CoRL), 2017	1135	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	1081	2018
Playing for Data: Ground Truth from Computer Games SR Richter, V Vineet, S Roth, V Koltun European Conference on Computer Vision (ECCV), 2016	888	2016
Guided Policy Search S Levine, V Koltun International Conference on Machine Learning (ICML), 2013	788	2013
Dilated Residual Networks F Yu, V Koltun, T Funkhouser Computer Vision and Pattern Recognition (CVPR), 2017	737	2017
Photographic Image Synthesis with Cascaded Refinement Networks Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2017	581	2017
Geodesic Object Proposals P Krähenbühl, V Koltun European Conference on Computer Vision (ECCV), 2014	417	2014
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	352	2018
Robust Reconstruction of Indoor Scenes S Choi, QY Zhou, V Koltun Computer Vision and Pattern Recognition (CVPR), 2015	343	2015
A probabilistic model for component-based shape synthesis E Kalogerakis, S Chaudhuri, D Koller, V Koltun ACM Transactions on Graphics (TOG) 31 (4), 2012	333	2012
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	322	2011
Learning to See in the Dark C Chen, Q Chen, J Xu, V Koltun Computer Vision and Pattern Recognition (CVPR), 2018	309	2018
Computer-generated residential building layouts P Merrell, E Schkufza, V Koltun ACM Transactions on Graphics (TOG) 29 (6), 2010	274	2010
Fast Global Registration QY Zhou, J Park, V Koltun European Conference on Computer Vision (ECCV), 2016	270	2016
Nonlinear inverse reinforcement learning with Gaussian processes S Levine, Z Popovic, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	269	2011
Learning Agile and Dynamic Motor Skills for Legged Robots J Hwangbo, J Lee, A Dosovitskiy, D Bellicoso, V Tsounis, V Koltun, ... Science Robotics 4 (26), 2019	254	2019
Probabilistic reasoning for assembly-based 3D modeling S Chaudhuri, E Kalogerakis, L Guibas, V Koltun ACM Transactions on Graphics (TOG) 30 (4), 2011	247	2011

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