Vladlen Koltun - Google Scholar Citations

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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
Jaesik ParkPOSTECHVerified email at postech.ac.kr
Vibhav VineetMicrosoft ResearchVerified email at microsoft.com
Zico KolterCarnegie Mellon UniversityVerified email at cs.cmu.edu
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
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
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
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	Cited by	Year
Multi-Scale Context Aggregation by Dilated Convolutions F Yu, V Koltun International Conference on Learning Representations (ICLR), 2016	2622	2016
Efficient inference in fully connected CRFs with Gaussian edge potentials P Krähenbühl, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	1866	2011
Direct Sparse Odometry J Engel, V Koltun, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3), 2018	782	2018
Guided Policy Search S Levine, V Koltun International Conference on Machine Learning (ICML), 2013	559	2013
Playing for Data: Ground Truth from Computer Games SR Richter, V Vineet, S Roth, V Koltun European Conference on Computer Vision (ECCV), 2016	528	2016
CARLA: An Open Urban Driving Simulator A Dosovitskiy, G Ros, F Codevilla, A López, V Koltun Conference on Robot Learning (CoRL), 2017	504	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	440	2018
Dilated Residual Networks F Yu, V Koltun, T Funkhouser Computer Vision and Pattern Recognition (CVPR), 2017	419	2017
Photographic Image Synthesis with Cascaded Refinement Networks Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2017	351	2017
Geodesic Object Proposals P Krähenbühl, V Koltun European Conference on Computer Vision (ECCV), 2014	348	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	278	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	262	2011
Robust Reconstruction of Indoor Scenes S Choi, QY Zhou, V Koltun Computer Vision and Pattern Recognition (CVPR), 2015	242	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	215	2010
Nonlinear inverse reinforcement learning with Gaussian processes S Levine, Z Popovic, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	207	2011
Probabilistic reasoning for assembly-based 3D modeling S Chaudhuri, E Kalogerakis, L Guibas, V Koltun ACM Transactions on Graphics (TOG) 30 (4), 2011	207	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
Dense scene reconstruction with points of interest QY Zhou, V Koltun ACM Transactions on Graphics (TOG) 32 (4), 2013	184	2013
Continuous inverse optimal control with locally optimal examples S Levine, V Koltun International Conference on Machine Learning (ICML), 2012	184	2012

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