Vladlen Koltun - Google Scholar Citations

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	All	Since 2015
Citations	20125	18156
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i10-index	116	100

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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
Jaesik ParkPOSTECHVerified email at postech.ac.kr
Fisher YuUC BerkeleyVerified email at berkeley.edu
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
Vibhav VineetMicrosoft ResearchVerified email at microsoft.com
Stephan R. RichterIntelVerified email at intel.com
Jack M. WangVerified email at dgp.toronto.edu
Siddhartha ChaudhuriAssistant Professor, IIT Bombay and Senior Research Scientist, AdobeVerified email at cse.iitb.ac.in
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
Jia XuHuya AIVerified email at huya.com
Evangelos KalogerakisUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Manolis SavvaSimon Fraser UniversityVerified email at sfu.ca
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
German RosResearch Scientist, Intel Labs, CA, USVerified email at intel.com
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de

Vladlen Koltun

Chief Scientist for Intelligent Systems, Intel

Verified email at intel.com - Homepage

computer vision machine learning computer graphics robotics


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	3333	2016
Efficient inference in fully connected CRFs with Gaussian edge potentials P Krähenbühl, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	2154	2011
Direct Sparse Odometry J Engel, V Koltun, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3), 2018	980	2018
CARLA: An Open Urban Driving Simulator A Dosovitskiy, G Ros, F Codevilla, A López, V Koltun Conference on Robot Learning (CoRL), 2017	731	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	688	2018
Playing for Data: Ground Truth from Computer Games SR Richter, V Vineet, S Roth, V Koltun European Conference on Computer Vision (ECCV), 2016	674	2016
Guided Policy Search S Levine, V Koltun International Conference on Machine Learning (ICML), 2013	671	2013
Dilated Residual Networks F Yu, V Koltun, T Funkhouser Computer Vision and Pattern Recognition (CVPR), 2017	561	2017
Photographic Image Synthesis with Cascaded Refinement Networks Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2017	451	2017
Geodesic Object Proposals P Krähenbühl, V Koltun European Conference on Computer Vision (ECCV), 2014	375	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	295	2012
Robust Reconstruction of Indoor Scenes S Choi, QY Zhou, V Koltun Computer Vision and Pattern Recognition (CVPR), 2015	282	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	282	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	250	2018
Nonlinear inverse reinforcement learning with Gaussian processes S Levine, Z Popovic, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	243	2011
Computer-generated residential building layouts P Merrell, E Schkufza, V Koltun ACM Transactions on Graphics (TOG) 29 (6), 2010	242	2010
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	227	2012
Probabilistic reasoning for assembly-based 3D modeling S Chaudhuri, E Kalogerakis, L Guibas, V Koltun ACM Transactions on Graphics (TOG) 30 (4), 2011	223	2011
Metropolis procedural modeling JO Talton, Y Lou, S Lesser, J Duke, R Měch, V Koltun ACM Transactions on Graphics (TOG) 30 (2), 2011	211	2011
Continuous inverse optimal control with locally optimal examples S Levine, V Koltun International Conference on Machine Learning (ICML), 2012	207	2012

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