Vladlen Koltun - Google Scholar Citations

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	All	Since 2014
Citations	15427	14118
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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 YuUC BerkeleyVerified email at berkeley.edu
Jaesik ParkPOSTECHVerified email at postech.ac.kr
Vibhav VineetMicrosoft ResearchVerified email at microsoft.com
Stephan R. RichterIntelVerified email at intel.com
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
Jack M. WangVerified email at dgp.toronto.edu
Siddhartha ChaudhuriAssistant Professor, IIT Bombay and Senior Research Scientist, AdobeVerified email at cse.iitb.ac.in
Jia XuHuya Inc.Verified email at huya.com
Evangelos KalogerakisUniversity 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
Daniel CremersTechnical University of MunichVerified email at tum.de
Manolis SavvaSimon Fraser University and Facebook AI ResearchVerified email at cs.stanford.edu
Qixing HuangAssistant Professor of Computer Science, UT AustinVerified email at cs.utexas.edu
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de
Scott DelpProfessor of Bioengineering and Mechanical Engineering, Stanford UniversityVerified email at stanford.edu

Vladlen Koltun

Chief Scientist for Intelligent Systems, Intel

Verified email at intel.com - Homepage

computer vision machine learning computer graphics robotics


Title	Cited by	Year
Multi-Scale Context Aggregation by Dilated Convolutions F Yu, V Koltun International Conference on Learning Representations (ICLR), 2016	2477	2016
Efficient inference in fully connected CRFs with Gaussian edge potentials P Krähenbühl, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	1779	2011
Direct Sparse Odometry J Engel, V Koltun, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3), 2018	724	2018
Guided Policy Search S Levine, V Koltun International Conference on Machine Learning (ICML), 2013	533	2013
Playing for Data: Ground Truth from Computer Games SR Richter, V Vineet, S Roth, V Koltun European Conference on Computer Vision (ECCV), 2016	505	2016
CARLA: An Open Urban Driving Simulator A Dosovitskiy, G Ros, F Codevilla, A López, V Koltun Conference on Robot Learning (CoRL), 2017	448	2017
Dilated Residual Networks F Yu, V Koltun, T Funkhouser Computer Vision and Pattern Recognition (CVPR), 2017	389	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	382	2018
Geodesic Object Proposals P Krähenbühl, V Koltun European Conference on Computer Vision (ECCV), 2014	343	2014
Photographic Image Synthesis with Cascaded Refinement Networks Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2017	328	2017
A probabilistic model for component-based shape synthesis E Kalogerakis, S Chaudhuri, D Koller, V Koltun ACM Transactions on Graphics (TOG) 31 (4), 2012	275	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	254	2011
Robust Reconstruction of Indoor Scenes S Choi, QY Zhou, V Koltun Computer Vision and Pattern Recognition (CVPR), 2015	230	2015
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	217	2012
Computer-generated residential building layouts P Merrell, E Schkufza, V Koltun ACM Transactions on Graphics (TOG) 29 (6), 2010	207	2010
Probabilistic reasoning for assembly-based 3D modeling S Chaudhuri, E Kalogerakis, L Guibas, V Koltun ACM Transactions on Graphics (TOG) 30 (4), 2011	204	2011
Metropolis procedural modeling JO Talton, Y Lou, S Lesser, J Duke, R Měch, V Koltun ACM Transactions on Graphics (TOG) 30 (2), 2011	202	2011
Nonlinear inverse reinforcement learning with Gaussian processes S Levine, Z Popovic, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	201	2011
Dense scene reconstruction with points of interest QY Zhou, V Koltun ACM Transactions on Graphics (TOG) 32 (4), 2013	180	2013
Continuous inverse optimal control with locally optimal examples S Levine, V Koltun International Conference on Machine Learning (ICML), 2012	177	2012

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