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ORCIDVladlen Koltun
Person information
- affiliation: Apple Inc., USA
- affiliation (former): Intel Labs, Santa Clara, CA, USA
- affiliation (former): Adobe Research, San Francisco, CA, USA
- affiliation (former): Stanford University, Computer Science Department, CA, USA
- affiliation (former): University of California, Berkeley, CA, USA
- affiliation (PhD 2002): Tel Aviv University, Israel
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2020 – today
- 2024
[c137]Matthias Müller, Samarth Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun:
OpenBot-Fleet: A System for Collective Learning with Real Robots. ICRA 2024: 4758-4765- [i110]Matthias Müller, Samarth Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun:
OpenBot-Fleet: A System for Collective Learning with Real Robots. CoRR abs/2405.07515 (2024) - [i109]Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun:
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second. CoRR abs/2410.02073 (2024) - [i108]Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krähenbühl, Vladlen Koltun:
Does Spatial Cognition Emerge in Frontier Models? CoRR abs/2410.06468 (2024) - [i107]Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krähenbühl:
Cut Your Losses in Large-Vocabulary Language Models. CoRR abs/2411.09009 (2024) - [i106]Sohil Atul Shah, Vladlen Koltun:
Conformation Generation using Transformer Flows. CoRR abs/2411.10817 (2024) - 2023
- [j60]Elia Kaufmann
, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Champion-level drone racing using deep reinforcement learning. Nat. 620(7976): 982-987 (2023) - [j59]John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun:
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 796-810 (2023) - [j58]Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun:
Enhancing Photorealism Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1700-1715 (2023) - [j57]Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun:
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5417-5435 (2023) - [j56]Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun:
Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5684-5696 (2023) - [j55]Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. Sci. Robotics 8(82) (2023) - [j54]Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian:
An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. 42(4): 90:1-90:13 (2023) - [c136]Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun:
Monocular Visual-Inertial Depth Estimation. ICRA 2023: 6095-6101 - [i105]Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun:
Monocular Visual-Inertial Depth Estimation. CoRR abs/2303.12134 (2023) - [i104]Ameya Prabhu, Zhipeng Cai, Puneet K. Dokania, Philip H. S. Torr, Vladlen Koltun, Ozan Sener:
Online Continual Learning Without the Storage Constraint. CoRR abs/2305.09253 (2023) - [i103]Ozan Sener, Vladlen Koltun:
Domain Generalization without Excess Empirical Risk. CoRR abs/2308.15856 (2023) - [i102]Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR abs/2310.10943 (2023) - 2022
- [j53]René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun:
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1623-1637 (2022) - [j52]Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter:
Learning robust perceptive locomotion for quadrupedal robots in the wild. Sci. Robotics 7(62) (2022) - [c135]Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl:
Simple Multi-dataset Detection. CVPR 2022: 7561-7570 - [c134]Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl:
Global Tracking Transformers. CVPR 2022: 8761-8770 - [c133]Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen:
Shape from Polarization for Complex Scenes in the Wild. CVPR 2022: 12622-12631 - [c132]Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun:
Dancing under the stars: video denoising in starlight. CVPR 2022: 16220-16230 - [c131]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Neural Deep Equilibrium Solvers. ICLR 2022 - [c130]Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl:
Language-driven Semantic Segmentation. ICLR 2022 - [c129]Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun:
Non-deep Networks. NeurIPS 2022 - [c128]Philipp Holl, Vladlen Koltun, Nils Thuerey:
Scale-invariant Learning by Physics Inversion. NeurIPS 2022 - [c127]Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey:
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. NeurIPS 2022 - [c126]Ozan Sener, Vladlen Koltun:
Domain Generalization without Excess Empirical Risk. NeurIPS 2022 - [i101]Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl:
Language-driven Semantic Segmentation. CoRR abs/2201.03546 (2022) - [i100]Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter:
Learning robust perceptive locomotion for quadrupedal robots in the wild. CoRR abs/2201.08117 (2022) - [i99]Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl:
Global Tracking Transformers. CoRR abs/2203.13250 (2022) - [i98]Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun:
Dancing under the stars: video denoising in starlight. CoRR abs/2204.04210 (2022) - [i97]Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter:
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. CoRR abs/2204.08399 (2022) - [i96]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Differentiable Simulation of Soft Multi-body Systems. CoRR abs/2205.01758 (2022) - [i95]Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey:
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. CoRR abs/2210.06036 (2022) - [i94]Zhipeng Cai, Vladlen Koltun, Ozan Sener:
Improving information retention in large scale online continual learning. CoRR abs/2210.06401 (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) - [c125]Gernot Riegler, Vladlen Koltun:
Stable View Synthesis. CVPR 2021: 12216-12225 - [c124]Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun:
Self-Supervised Geometric Perception. CVPR 2021: 14350-14361 - [c123]Benjamin Ummenhofer, Vladlen Koltun:
Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. ICCV 2021: 5631-5640 - [c122]Zhipeng Cai, Ozan Sener, Vladlen Koltun:
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. ICCV 2021: 8261-8270 - [c121]René Ranftl, Alexey Bochkovskiy, Vladlen Koltun:
Vision Transformers for Dense Prediction. ICCV 2021: 12159-12168 - [c120]Dian Chen, Vladlen Koltun, Philipp Krähenbühl:
Learning to drive from a world on rails. ICCV 2021: 15570-15579 - [c119]Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun:
Point Transformer. ICCV 2021: 16239-16248 - [c118]Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian:
Large Batch Simulation for Deep Reinforcement Learning. ICLR 2021 - [c117]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Stabilizing Equilibrium Models by Jacobian Regularization. ICML 2021: 554-565 - [c116]Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun:
Training Graph Neural Networks with 1000 Layers. ICML 2021: 6437-6449 - [c115]Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun:
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. ICML 2021: 8556-8566 - [c114]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Efficient Differentiable Simulation of Articulated Bodies. ICML 2021: 8661-8671 - [c113]Matthias Müller, Vladlen Koltun:
OpenBot: Turning Smartphones into Robots. ICRA 2021: 9305-9311 - [c112]Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Acrobatics (Extended Abstract). IJCAI 2021: 4780-4783 - [c111]Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra:
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS 2021: 251-266 - [c110]Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin:
Differentiable Simulation of Soft Multi-body Systems. NeurIPS 2021: 17123-17135 - [c109]Guandao Yang, Serge J. Belongie, Bharath Hariharan, Vladlen Koltun:
Geometry Processing with Neural Fields. NeurIPS 2021: 22483-22497 - [d1]Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza:
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). Zenodo, 2021
- [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 M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. 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 B. 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 B. 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 B. 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 B. 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]