Vladlen Koltun

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Fisher YuETH ZurichVerified email at ethz.ch
Alexey DosovitskiyResearch Scientist, Google BrainVerified email at google.com
Philipp KrähenbühlUT AustinVerified email at cs.utexas.edu
Rene RanftlIntel LabsVerified email at intel.com
Qian-Yi ZhouIntel LabsVerified email at intel.com
Sergey LevineUC Berkeley, GoogleVerified email at eecs.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
Antonio Manuel LopezUniversitat Autònoma de Barcelona (UAB) // Computer Science Dpt & Computer Vision Center (CVC)Verified email at cvc.uab.es
Felipe CodevillaMilaVerified email at cvc.uab.es
Manolis SavvaSimon Fraser UniversityVerified email at sfu.ca
Jia XuHuya AIVerified email at huya.com
Daniel CremersTechnical University of MunichVerified email at tum.de
Davide ScaramuzzaProfessor of Robotics and Perception, University of ZurichVerified email at ifi.uzh.ch
Stephan R. RichterIntelVerified email at intel.com
Vibhav VineetMicrosoft ResearchVerified email at microsoft.com
Siddhartha ChaudhuriAssistant Professor, IIT Bombay and Senior Research Scientist, AdobeVerified email at cse.iitb.ac.in
Jack M. WangVerified email at dgp.toronto.edu
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	4921	2016
Efficient inference in fully connected CRFs with Gaussian edge potentials P Krähenbühl, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	2640	2011
Direct Sparse Odometry J Engel, V Koltun, D Cremers IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3), 2018	1416	2018
CARLA: An Open Urban Driving Simulator A Dosovitskiy, G Ros, F Codevilla, A López, V Koltun Conference on Robot Learning (CoRL), 2017	1359	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	1346	2018
Playing for Data: Ground Truth from Computer Games SR Richter, V Vineet, S Roth, V Koltun European Conference on Computer Vision (ECCV), 2016	987	2016
Dilated Residual Networks F Yu, V Koltun, T Funkhouser Computer Vision and Pattern Recognition (CVPR), 2017	850	2017
Guided Policy Search S Levine, V Koltun International Conference on Machine Learning (ICML), 2013	850	2013
Photographic Image Synthesis with Cascaded Refinement Networks Q Chen, V Koltun International Conference on Computer Vision (ICCV), 2017	636	2017
Geodesic Object Proposals P Krähenbühl, V Koltun European Conference on Computer Vision (ECCV), 2014	426	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	407	2018
Learning to See in the Dark C Chen, Q Chen, J Xu, V Koltun Computer Vision and Pattern Recognition (CVPR), 2018	389	2018
Robust Reconstruction of Indoor Scenes S Choi, QY Zhou, V Koltun Computer Vision and Pattern Recognition (CVPR), 2015	365	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	348	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	342	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	316	2019
Computer-generated residential building layouts P Merrell, E Schkufza, V Koltun ACM Transactions on Graphics (TOG) 29 (6), 2010	296	2010
Fast Global Registration QY Zhou, J Park, V Koltun European Conference on Computer Vision (ECCV), 2016	295	2016
Nonlinear inverse reinforcement learning with Gaussian processes S Levine, Z Popovic, V Koltun Advances in Neural Information Processing Systems (NIPS), 2011	291	2011
Open3D: A Modern Library for 3D Data Processing QY Zhou, J Park, V Koltun arXiv preprint arXiv:1801.09847, 2018	278	2018

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