Vladlen Koltun
Vladlen Koltun
Chief Scientist for Intelligent Systems, Intel
Bestätigte E-Mail-Adresse bei intel.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Multi-Scale Context Aggregation by Dilated Convolutions
F Yu, V Koltun
International Conference on Learning Representations (ICLR), 2016
36802016
Efficient inference in fully connected CRFs with Gaussian edge potentials
P Krähenbühl, V Koltun
Advances in Neural Information Processing Systems (NIPS), 2011
22732011
Direct Sparse Odometry
J Engel, V Koltun, D Cremers
IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (3), 2018
10962018
CARLA: An Open Urban Driving Simulator
A Dosovitskiy, G Ros, F Codevilla, A López, V Koltun
Conference on Robot Learning (CoRL), 2017
8652017
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
S Bai, JZ Kolter, V Koltun
arXiv preprint arXiv:1803.01271, 2018
8152018
Playing for Data: Ground Truth from Computer Games
SR Richter, V Vineet, S Roth, V Koltun
European Conference on Computer Vision (ECCV), 2016
7412016
Guided Policy Search
S Levine, V Koltun
International Conference on Machine Learning (ICML), 2013
7142013
Dilated Residual Networks
F Yu, V Koltun, T Funkhouser
Computer Vision and Pattern Recognition (CVPR), 2017
6132017
Photographic Image Synthesis with Cascaded Refinement Networks
Q Chen, V Koltun
International Conference on Computer Vision (ICCV), 2017
4912017
Geodesic Object Proposals
P Krähenbühl, V Koltun
European Conference on Computer Vision (ECCV), 2014
3792014
A probabilistic model for component-based shape synthesis
E Kalogerakis, S Chaudhuri, D Koller, V Koltun
ACM Transactions on Graphics (TOG) 31 (4), 2012
3072012
Robust Reconstruction of Indoor Scenes
S Choi, QY Zhou, V Koltun
Computer Vision and Pattern Recognition (CVPR), 2015
2992015
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
2912011
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
2862018
Nonlinear inverse reinforcement learning with Gaussian processes
S Levine, Z Popovic, V Koltun
Advances in Neural Information Processing Systems (NIPS), 2011
2562011
Computer-generated residential building layouts
P Merrell, E Schkufza, V Koltun
ACM Transactions on Graphics (TOG) 29 (6), 2010
2542010
Learning to See in the Dark
C Chen, Q Chen, J Xu, V Koltun
Computer Vision and Pattern Recognition (CVPR), 2018
2472018
Probabilistic reasoning for assembly-based 3D modeling
S Chaudhuri, E Kalogerakis, L Guibas, V Koltun
ACM Transactions on Graphics (TOG) 30 (4), 2011
2352011
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
2342012
Fast Global Registration
QY Zhou, J Park, V Koltun
European Conference on Computer Vision (ECCV), 2016
2262016
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