Vladlen Koltun

ORCID

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 220

Top Venues

Publications

Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR (2023)
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) (2023)
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) (2023)
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) (2023)
Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Champion-level drone racing using deep reinforcement learning. Nat. 620 (7976) (2023)
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) (2023)
Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
Monocular Visual-Inertial Depth Estimation. ICRA (2023)
Ameya Prabhu, Zhipeng Cai, Puneet K. Dokania, Philip H. S. Torr, Vladlen Koltun, Ozan Sener
Online Continual Learning Without the Storage Constraint. CoRR (2023)
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)
Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun
Enhancing Photorealism Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
Monocular Visual-Inertial Depth Estimation. CoRR (2023)
Ozan Sener, Vladlen Koltun
Domain Generalization without Excess Empirical Risk. CoRR (2023)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Simple Multi-dataset Detection. CVPR (2022)
Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. CoRR (2022)
Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen
Shape from Polarization for Complex Scenes in the Wild. CVPR (2022)
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)
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
Global Tracking Transformers. CVPR (2022)
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) (2022)
Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun
Dancing under the stars: video denoising in starlight. CoRR (2022)
Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
Global Tracking Transformers. CoRR (2022)
Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun
Dancing under the stars: video denoising in starlight. CVPR (2022)
Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
Non-deep Networks. NeurIPS (2022)
Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
Learning robust perceptive locomotion for quadrupedal robots in the wild. CoRR (2022)
Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. NeurIPS (2022)
Ozan Sener, Vladlen Koltun
Domain Generalization without Excess Empirical Risk. NeurIPS (2022)
Zhipeng Cai, Vladlen Koltun, Ozan Sener
Improving information retention in large scale online continual learning. CoRR (2022)
Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. CoRR (2022)
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
Neural Deep Equilibrium Solvers. ICLR (2022)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Scale-invariant Learning by Physics Inversion. NeurIPS (2022)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Differentiable Simulation of Soft Multi-body Systems. CoRR (2022)
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
Language-driven Semantic Segmentation. ICLR (2022)
Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
Language-driven Semantic Segmentation. CoRR (2022)
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Large Batch Simulation for Deep Reinforcement Learning. CoRR (2021)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Efficient Differentiable Simulation of Articulated Bodies. ICML (2021)
Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
Non-deep Networks. CoRR (2021)
Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun
Self-supervised Geometric Perception. CoRR (2021)
Zhipeng Cai, Ozan Sener, Vladlen Koltun
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. CoRR (2021)
John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation. CoRR (2021)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Learning High-Speed Flight in the Wild. CoRR (2021)
Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
Training Graph Neural Networks with 1000 Layers. ICML (2021)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Differentiable Simulation of Soft Multi-body Systems. NeurIPS (2021)
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
Stabilizing Equilibrium Models by Jacobian Regularization. ICML (2021)
Benjamin Ummenhofer, Vladlen Koltun
Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. ICCV (2021)
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. CoRR (2021)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Simple multi-dataset detection. CoRR (2021)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Efficient Differentiable Simulation of Articulated Bodies. CoRR (2021)
Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun
Self-Supervised Geometric Perception. CVPR (2021)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Physical Gradients for Deep Learning. CoRR (2021)
Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen
Shape from Polarization for Complex Scenes in the Wild. CoRR (2021)
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
Vision Transformers for Dense Prediction. ICCV (2021)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics (Extended Abstract). IJCAI (2021)
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 X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra
Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS (2021)
Matthias Müller, Vladlen Koltun
OpenBot: Turning Smartphones into Robots. ICRA (2021)
Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. CoRR (2021)
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun
Point Transformer. ICCV (2021)
Zhipeng Cai, Ozan Sener, Vladlen Koltun
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. ICCV (2021)
Shaojie Bai, Vladlen Koltun, J. Zico Kolter
Stabilizing Equilibrium Models by Jacobian Regularization. CoRR (2021)
Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Learning high-speed flight in the wild. Sci. Robotics 6 (59) (2021)
René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
Vision Transformers for Dense Prediction. CoRR (2021)
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 (2021)
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Large Batch Simulation for Deep Reinforcement Learning. ICLR (2021)
Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
Training Graph Neural Networks with 1000 Layers. CoRR (2021)
Dian Chen, Vladlen Koltun, Philipp Krähenbühl
Learning to drive from a world on rails. ICCV (2021)
Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
Probabilistic two-stage detection. CoRR (2021)
Guandao Yang, Serge J. Belongie, Bharath Hariharan, Vladlen Koltun
Geometry Processing with Neural Fields. NeurIPS (2021)
Vladlen Koltun, David Hafner
The h-index is no longer an effective correlate of scientific reputation. CoRR (2021)
Gernot Riegler, Vladlen Koltun
Stable View Synthesis. CVPR (2021)
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
Megaverse: Simulating Embodied Agents at One Million Experiences per Second. ICML (2021)
Vladlen Koltun, David Hafner
A Measure of Research Taste. CoRR (2021)
Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun
Enhancing Photorealism Enhancement. CoRR (2021)
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) (2021)
Dian Chen, Vladlen Koltun, Philipp Krähenbühl
Learning to drive from a world on rails. CoRR (2021)
John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. CVPR (2020)
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
Dynamic Low-Light Imaging with Quanta Image Sensors. ECCV (21) (2020)
Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
Drinking from a Firehose: Continual Learning with Web-scale Natural Language. CoRR (2020)
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)
Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun
Lagrangian Fluid Simulation with Continuous Convolutions. ICLR (2020)
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) (2020)
Christopher Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
High-dimensional Convolutional Networks for Geometric Pattern Recognition. CoRR (2020)
Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
Dynamic Low-light Imaging with Quanta Image Sensors. CoRR (2020)
Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
Learning quadrupedal locomotion over challenging terrain. Sci. Robotics 5 (47) (2020)
Ozan Sener, Vladlen Koltun
Learning to Guide Random Search. ICLR (2020)
Ozan Sener, Vladlen Koltun
Learning to Guide Random Search. CoRR (2020)
Hengshuang Zhao, Jiaya Jia, Vladlen Koltun
Exploring Self-attention for Image Recognition. CoRR (2020)
Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun
NeRF++: Analyzing and Improving Neural Radiance Fields. CoRR (2020)
Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
Deep Drone Acrobatics. Robotics: Science and Systems (2020)
Christopher Choy, Wei Dong, Vladlen Koltun
Deep Global Registration. CVPR (2020)
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun
Point Transformer. CoRR (2020)
Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox
Scaling Imitation Learning in Minecraft. CoRR (2020)
Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
Learning Quadrupedal Locomotion over Challenging Terrain. CoRR (2020)
Philipp Holl, Nils Thuerey, Vladlen Koltun
Learning to Control PDEs with Differentiable Physics. ICLR (2020)
Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
Scalable Differentiable Physics for Learning and Control. ICML (2020)
Christopher Choy, Wei Dong, Vladlen Koltun
Deep Global Registration. CoRR (2020)
Gernot Riegler, Vladlen Koltun
Free View Synthesis. CoRR (2020)
Hengshuang Zhao, Jiaya Jia, Vladlen Koltun
Exploring Self-Attention for Image Recognition. CVPR (2020)
Philipp Holl, Vladlen Koltun, Nils Thuerey
Learning to Control PDEs with Differentiable Physics. CoRR (2020)
Sohil Atul Shah, Vladlen Koltun
Auto-decoding Graphs. CoRR (2020)
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 (2020)
Christopher Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
High-Dimensional Convolutional Networks for Geometric Pattern Recognition. CVPR (2020)
Matthias Müller, Vladlen Koltun
OpenBot: Turning Smartphones into Robots. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vladlen Koltun