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ORCIDVladlen Koltun
Person information
- affiliation: Intel Labs, Santa Clara, CA, USA
- affiliation: Adobe Research, San Francisco, CA, USA
- affiliation: Stanford University, Computer Science Department, CA, USA
- affiliation: University of California, Berkeley, CA, USA
- affiliation (PhD 2002): Tel Aviv University, Israel
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2020 – today
- 2022
[i94]Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl:
Language-driven Semantic Segmentation. CoRR abs/2201.03546 (2022)- 2021
- [j51]Henri Rebecq
, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1964-1980 (2021) - [j50]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning high-speed flight in the wild. Sci. Robotics 6(59) (2021) - [c117]Gernot Riegler, Vladlen Koltun:
Stable View Synthesis. CVPR 2021: 12216-12225 - [c116]Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun:
Self-Supervised Geometric Perception. CVPR 2021: 14350-14361 - [c115]Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian:
Large Batch Simulation for Deep Reinforcement Learning. ICLR 2021 - [c114]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. ICML 2021: 554-565 - [c113]Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun:
Training Graph Neural Networks with 1000 Layers. ICML 2021: 6437-6449 - [c112]Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun:
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. ICML 2021: 8556-8566 - [c111]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. ICML 2021: 8661-8671 - [c110]Matthias Müller, Vladlen Koltun:
OpenBot: Turning Smartphones into Robots. ICRA 2021: 9305-9311 - [c109]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics (Extended Abstract). IJCAI 2021: 4780-4783 - [i93]Vladlen Koltun, David Hafner:
The h-index is no longer an effective correlate of scientific reputation. CoRR abs/2102.03234 (2021) - [i92]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Simple multi-dataset detection. CoRR abs/2102.13086 (2021) - [i91]Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun:
Self-supervised Geometric Perception. CoRR abs/2103.03114 (2021) - [i90]Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian:
Large Batch Simulation for Deep Reinforcement Learning. CoRR abs/2103.07013 (2021) - [i89]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Probabilistic two-stage detection. CoRR abs/2103.07461 (2021) - [i88]René Ranftl, Alexey Bochkovskiy, Vladlen Koltun:
Vision Transformers for Dense Prediction. CoRR abs/2103.13413 (2021) - [i87]Dian Chen, Vladlen Koltun, Philipp Krähenbühl:
Learning to drive from a world on rails. CoRR abs/2105.00636 (2021) - [i86]Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun:
Enhancing Photorealism Enhancement. CoRR abs/2105.04619 (2021) - [i85]Vladlen Koltun, David Hafner:
A Measure of Research Taste. CoRR abs/2105.08089 (2021) - [i84]Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun:
Training Graph Neural Networks with 1000 Layers. CoRR abs/2106.07476 (2021) - [i83]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. CoRR abs/2106.14342 (2021) - [i82]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR abs/2106.14405 (2021) - [i81]Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun:
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. CoRR abs/2107.08170 (2021) - [i80]Zhipeng Cai, Ozan Sener, Vladlen Koltun:
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. CoRR abs/2108.09020 (2021) - [i79]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. CoRR abs/2109.07719 (2021) - [i78]Philipp Holl, Vladlen Koltun, Nils Thuerey:
Physical Gradients for Deep Learning. CoRR abs/2109.15048 (2021) - [i77]Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun:
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. CoRR abs/2110.00511 (2021) - [i76]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Learning High-Speed Flight in the Wild. CoRR abs/2110.05113 (2021) - [i75]Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun:
Non-deep Networks. CoRR abs/2110.07641 (2021) - [i74]Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen:
Shape from Polarization for Complex Scenes in the Wild. CoRR abs/2112.11377 (2021) - [i73]John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation. CoRR abs/2112.13762 (2021) - 2020
- [j49]Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter:
Learning quadrupedal locomotion over challenging terrain. Sci. Robotics 5(47): 5986 (2020) - [j48]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics 36(1): 1-14 (2020) - [c108]Christopher Choy, Wei Dong, Vladlen Koltun:
Deep Global Registration. CVPR 2020: 2511-2520 - [c107]John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. CVPR 2020: 2876-2885 - [c106]Carolin Schmitt, Simon Donné, Gernot Riegler, Vladlen Koltun, Andreas Geiger:
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. CVPR 2020: 3490-3500 - [c105]Hengshuang Zhao, Jiaya Jia, Vladlen Koltun:
Exploring Self-Attention for Image Recognition. CVPR 2020: 10073-10082 - [c104]Christopher Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun:
High-Dimensional Convolutional Networks for Geometric Pattern Recognition. CVPR 2020: 11224-11233 - [c103]Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan:
Dynamic Low-Light Imaging with Quanta Image Sensors. ECCV (21) 2020: 122-138 - [c102]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Tracking Objects as Points. ECCV (4) 2020: 474-490 - [c101]Gernot Riegler, Vladlen Koltun:
Free View Synthesis. ECCV (19) 2020: 623-640 - [c100]Philipp Holl, Nils Thuerey, Vladlen Koltun:
Learning to Control PDEs with Differentiable Physics. ICLR 2020 - [c99]Ozan Sener, Vladlen Koltun:
Learning to Guide Random Search. ICLR 2020 - [c98]Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun:
Lagrangian Fluid Simulation with Continuous Convolutions. ICLR 2020 - [c97]Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun:
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. ICML 2020: 7652-7662 - [c96]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Scalable Differentiable Physics for Learning and Control. ICML 2020: 7847-7856 - [c95]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. NeurIPS 2020 - [c94]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. Robotics: Science and Systems 2020 - [i72]Philipp Holl, Vladlen Koltun, Nils Thuerey:
Learning to Control PDEs with Differentiable Physics. CoRR abs/2001.07457 (2020) - [i71]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Tracking Objects as Points. CoRR abs/2004.01177 (2020) - [i70]Christopher Choy, Wei Dong, Vladlen Koltun:
Deep Global Registration. CoRR abs/2004.11540 (2020) - [i69]Ozan Sener, Vladlen Koltun:
Learning to Guide Random Search. CoRR abs/2004.12214 (2020) - [i68]Hengshuang Zhao, Jiaya Jia, Vladlen Koltun:
Exploring Self-attention for Image Recognition. CoRR abs/2004.13621 (2020) - [i67]Christopher Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun:
High-dimensional Convolutional Networks for Geometric Pattern Recognition. CoRR abs/2005.08144 (2020) - [i66]Sohil Atul Shah, Vladlen Koltun:
Auto-decoding Graphs. CoRR abs/2006.02879 (2020) - [i65]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics. CoRR abs/2006.05768 (2020) - [i64]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Multiscale Deep Equilibrium Models. CoRR abs/2006.08656 (2020) - [i63]Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun:
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. CoRR abs/2006.11751 (2020) - [i62]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Scalable Differentiable Physics for Learning and Control. CoRR abs/2007.02168 (2020) - [i61]Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox:
Scaling Imitation Learning in Minecraft. CoRR abs/2007.02701 (2020) - [i60]Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan:
Dynamic Low-light Imaging with Quanta Image Sensors. CoRR abs/2007.08614 (2020) - [i59]Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun:
Drinking from a Firehose: Continual Learning with Web-scale Natural Language. CoRR abs/2007.09335 (2020) - [i58]Gernot Riegler, Vladlen Koltun:
Free View Synthesis. CoRR abs/2008.05511 (2020) - [i57]Matthias Müller, Vladlen Koltun:
OpenBot: Turning Smartphones into Robots. CoRR abs/2008.10631 (2020) - [i56]Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun:
NeRF++: Analyzing and Improving Neural Radiance Fields. CoRR abs/2010.07492 (2020) - [i55]Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter:
Learning Quadrupedal Locomotion over Challenging Terrain. CoRR abs/2010.11251 (2020) - [i54]Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su:
Rearrangement: A Challenge for Embodied AI. CoRR abs/2011.01975 (2020) - [i53]Gernot Riegler, Vladlen Koltun:
Stable View Synthesis. CoRR abs/2011.07233 (2020) - [i52]Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun:
Point Transformer. CoRR abs/2012.09164 (2020)
2010 – 2019
- 2019
- [j47]Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter:
Trajectory Optimization for Legged Robots With Slipping Motions. IEEE Robotics Autom. Lett. 4(3): 3013-3020 (2019) - [j46]Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter:
Learning agile and dynamic motor skills for legged robots. Sci. Robotics 4(26) (2019) - [j45]Brady Zhou, Philipp Krähenbühl, Vladlen Koltun:
Does computer vision matter for action? Sci. Robotics 4(30) (2019) - [j44]Delio Vicini, Vladlen Koltun, Wenzel Jakob:
A learned shape-adaptive subsurface scattering model. ACM Trans. Graph. 38(4): 127:1-127:15 (2019) - [c93]Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl:
Learning by Cheating. CoRL 2019: 66-75 - [c92]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-View 3D Reconstruction Networks Learn? CVPR 2019: 3405-3414 - [c91]Xuaner Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun:
Zoom to Learn, Learn to Zoom. CVPR 2019: 3762-3770 - [c90]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-To-Video: Bringing Modern Computer Vision to Event Cameras. CVPR 2019: 3857-3866 - [c89]David B. Lindell, Gordon Wetzstein, Vladlen Koltun:
Acoustic Non-Line-Of-Sight Imaging. CVPR 2019: 6780-6789 - [c88]Gernot Riegler, Yiyi Liao, Simon Donné, Vladlen Koltun, Andreas Geiger:
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. CVPR 2019: 7624-7633 - [c87]Hyukryul Yang, Hao Ouyang, Vladlen Koltun, Qifeng Chen:
Hiding Video in Audio via Reversible Generative Models. ICCV 2019: 1100-1109 - [c86]Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun:
Consensus Maximization Tree Search Revisited. ICCV 2019: 1637-1645 - [c85]Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun:
Seeing Motion in the Dark. ICCV 2019: 3184-3193 - [c84]Christopher Choy, Jaesik Park, Vladlen Koltun:
Fully Convolutional Geometric Features. ICCV 2019: 8957-8965 - [c83]Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun:
Habitat: A Platform for Embodied AI Research. ICCV 2019: 9338-9346 - [c82]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Trellis Networks for Sequence Modeling. ICLR (Poster) 2019 - [c81]Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl:
Deep Layers as Stochastic Solvers. ICLR (Poster) 2019 - [c80]Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA 2019: 690-696 - [c79]François G. Germain, Qifeng Chen, Vladlen Koltun:
Speech Denoising with Deep Feature Losses. INTERSPEECH 2019: 2723-2727 - [c78]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Deep Equilibrium Models. NeurIPS 2019: 688-699 - [c77]Junbang Liang, Ming C. Lin, Vladlen Koltun:
Differentiable Cloth Simulation for Inverse Problems. NeurIPS 2019: 771-780 - [i51]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR abs/1901.03162 (2019) - [i50]Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter:
Learning agile and dynamic motor skills for legged robots. CoRR abs/1901.08652 (2019) - [i49]Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun:
Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR abs/1901.10915 (2019) - [i48]Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra:
Habitat: A Platform for Embodied AI Research. CoRR abs/1904.01201 (2019) - [i47]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
Events-to-Video: Bringing Modern Computer Vision to Event Cameras. CoRR abs/1904.08298 (2019) - [i46]Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox:
What Do Single-view 3D Reconstruction Networks Learn? CoRR abs/1905.03678 (2019) - [i45]Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun:
Zoom To Learn, Learn To Zoom. CoRR abs/1905.05169 (2019) - [i44]Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR abs/1905.09727 (2019) - [i43]Brady Zhou, Philipp Krähenbühl, Vladlen Koltun:
Does computer vision matter for action? CoRR abs/1905.12887 (2019) - [i42]Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza:
High Speed and High Dynamic Range Video with an Event Camera. CoRR abs/1906.07165 (2019) - [i41]Brandon Amos, Vladlen Koltun, J. Zico Kolter:
The Limited Multi-Label Projection Layer. CoRR abs/1906.08707 (2019) - [i40]Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. CoRR abs/1907.01341 (2019) - [i39]Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun:
Consensus Maximization Tree Search Revisited. CoRR abs/1908.02021 (2019) - [i38]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Deep Equilibrium Models. CoRR abs/1909.01377 (2019) - [i37]Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl:
Learning by Cheating. CoRR abs/1912.12294 (2019) - 2018
- [j43]Jakob Engel, Vladlen Koltun, Daniel Cremers:
Direct Sparse Odometry. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 611-625 (2018) - [j42]Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter:
Trajectory Optimization With Implicit Hard Contacts. IEEE Robotics Autom. Lett. 3(4): 3316-3323 (2018) - [c76]Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun:
Driving Policy Transfer via Modularity and Abstraction. CoRL 2018: 1-15 - [c75]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL 2018: 133-145 - [c74]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL 2018: 156-168 - [c73]Zhuwen Li, Qifeng Chen, Vladlen Koltun:
Interactive Image Segmentation With Latent Diversity. CVPR 2018: 577-585 - [c72]Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun:
Learning to See in the Dark. CVPR 2018: 3291-3300 - [c71]Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou:
Tangent Convolutions for Dense Prediction in 3D. CVPR 2018: 3887-3896 - [c70]Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun:
Semi-Parametric Image Synthesis. CVPR 2018: 8808-8816 - [c69]Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-Based Driving Models. ECCV (15) 2018: 246-262 - [c68]René Ranftl, Vladlen Koltun:
Deep Fundamental Matrix Estimation. ECCV (1) 2018: 292-309 - [c67]Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) 2018 - [c66]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Convolutional Sequence Modeling Revisited. ICLR (Workshop) 2018 - [c65]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric topological memory for navigation. ICLR (Poster) 2018 - [c64]Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
End-to-End Driving Via Conditional Imitation Learning. ICRA 2018: 1-9 - [c63]Ozan Sener, Vladlen Koltun:
Multi-Task Learning as Multi-Objective Optimization. NeurIPS 2018: 525-536 - [c62]Zhuwen Li, Qifeng Chen, Vladlen Koltun:
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. NeurIPS 2018: 537-546 - [i36]Qian-Yi Zhou, Jaesik Park, Vladlen Koltun:
Open3D: A Modern Library for 3D Data Processing. CoRR abs/1801.09847 (2018) - [i35]Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun:
Semi-parametric Topological Memory for Navigation. CoRR abs/1803.00653 (2018) - [i34]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. CoRR abs/1803.01271 (2018) - [i33]Sohil Atul Shah, Vladlen Koltun:
Deep Continuous Clustering. CoRR abs/1803.01449 (2018) - [i32]Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun:
Driving Policy Transfer via Modularity and Abstraction. CoRR abs/1804.09364 (2018) - [i31]Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun:
Semi-parametric Image Synthesis. CoRR abs/1804.10992 (2018) - [i30]Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun:
Learning to See in the Dark. CoRR abs/1805.01934 (2018) - [i29]Artemij Amiranashvili, Alexey Dosovitskiy,