Vladlen Koltun

317 papers A* 93A 2B 3Misc 5Journal 174Unranked 39

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CoMotion: Concurrent Multi-person 3D Motion. ICLR Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan R. Richter, Vladlen Koltun
2025	J	`jnl`	CoMotion: Concurrent Multi-person 3D Motion. CoRR Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan R. Richter, Vladlen Koltun
2025	A*	`conf`	Cut Your Losses in Large-Vocabulary Language Models. ICLR Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krähenbühl
2025	A*	`conf`	Depth Pro: Sharp Monocular Metric Depth in Less Than a Second. ICLR Alexey Bochkovskiy, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun
2025	A*	`conf`	Does Spatial Cognition Emerge in Frontier Models? ICLR Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Reinforcement Learning for Long-Horizon Interactive LLM Agents. CoRR Kevin Chen, Marco F. Cusumano-Towner, Brody Huval, Aleksei Petrenko, Jackson Hamburger, Vladlen Koltun, Philipp Krähenbühl
2025	A*	`conf`	Robust Autonomy Emerges from Self-Play. ICML Marco Francis Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Robust Autonomy Emerges from Self-Play. CoRR Marco F. Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Sharp Monocular View Synthesis in Less Than a Second. CoRR Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan R. Richter, Vladlen Koltun
2024	J	`jnl`	Conformation Generation using Transformer Flows. CoRR Sohil Atul Shah, Vladlen Koltun
2024	J	`jnl`	Cut Your Losses in Large-Vocabulary Language Models. CoRR Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Krähenbühl
2024	J	`jnl`	Depth Pro: Sharp Monocular Metric Depth in Less Than a Second. CoRR Aleksei Bochkovskii, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan R. Richter, Vladlen Koltun
2024	J	`jnl`	Does Spatial Cognition Emerge in Frontier Models? CoRR Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Krähenbühl, Vladlen Koltun
2024	A*	`conf`	OpenBot-Fleet: A System for Collective Learning with Real Robots. ICRA Matthias Müller, Samarth Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun
2024	J	`jnl`	OpenBot-Fleet: A System for Collective Learning with Real Robots. CoRR Matthias Müller, Samarth Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun
2023	J	`jnl`	ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. IEEE Trans. Pattern Anal. Mach. Intell. Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
2023	J	`jnl`	An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. ACM Trans. Graph. Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian
2023	J	`jnl`	Champion-level drone racing using deep reinforcement learning. Nat. Elia Kaufmann, Leonard Bauersfeld, Antonio Loquercio, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2023	J	`jnl`	Domain Generalization without Excess Empirical Risk. CoRR Ozan Sener, Vladlen Koltun
2023	J	`jnl`	Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. IEEE Trans. Pattern Anal. Mach. Intell. Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
2023	J	`jnl`	Enhancing Photorealism Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun
2023	J	`jnl`	MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
2023	A*	`conf`	Monocular Visual-Inertial Depth Estimation. ICRA Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
2023	J	`jnl`	Monocular Visual-Inertial Depth Estimation. CoRR Diana Wofk, René Ranftl, Matthias Müller, Vladlen Koltun
2023	J	`jnl`	Online Continual Learning Without the Storage Constraint. CoRR Ameya Prabhu, Zhipeng Cai, Puneet K. Dokania, Philip H. S. Torr, Vladlen Koltun, Ozan Sener
2023	J	`jnl`	Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning. CoRR Yunlong Song, Angel Romero, Matthias Mueller, Vladlen Koltun, Davide Scaramuzza
2023	J	`jnl`	Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. Sci. Robotics Yunlong Song, Angel Romero, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2022	A*	`conf`	Dancing under the stars: video denoising in starlight. CVPR Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun
2022	J	`jnl`	Dancing under the stars: video denoising in starlight. CoRR Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun
2022	J	`jnl`	Differentiable Simulation of Soft Multi-body Systems. CoRR Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2022	A*	`conf`	Domain Generalization without Excess Empirical Risk. NeurIPS Ozan Sener, Vladlen Koltun
2022	A*	`conf`	Global Tracking Transformers. CVPR Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
2022	J	`jnl`	Global Tracking Transformers. CoRR Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl
2022	A*	`conf`	Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. NeurIPS Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
2022	J	`jnl`	Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. CoRR Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
2022	J	`jnl`	Improving information retention in large scale online continual learning. CoRR Zhipeng Cai, Vladlen Koltun, Ozan Sener
2022	A*	`conf`	Language-driven Semantic Segmentation. ICLR Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
2022	J	`jnl`	Language-driven Semantic Segmentation. CoRR Boyi Li, Kilian Q. Weinberger, Serge J. Belongie, Vladlen Koltun, René Ranftl
2022	J	`jnl`	Learning robust perceptive locomotion for quadrupedal robots in the wild. CoRR Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
2022	J	`jnl`	Learning robust perceptive locomotion for quadrupedal robots in the wild. Sci. Robotics Takahiro Miki, Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
2022	A*	`conf`	Neural Deep Equilibrium Solvers. ICLR Shaojie Bai, Vladlen Koltun, J. Zico Kolter
2022	A*	`conf`	Non-deep Networks. NeurIPS Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
2022	A*	`conf`	Scale-invariant Learning by Physics Inversion. NeurIPS Philipp Holl, Vladlen Koltun, Nils Thuerey
2022	A*	`conf`	Shape from Polarization for Complex Scenes in the Wild. CVPR Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen
2022	A*	`conf`	Simple Multi-dataset Detection. CVPR Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
2022	J	`jnl`	Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. IEEE Trans. Pattern Anal. Mach. Intell. René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun
2022	J	`jnl`	Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. CoRR Feihu Zhang, Vladlen Koltun, Philip H. S. Torr, René Ranftl, Stephan R. Richter
2021	J	`jnl`	A Measure of Research Taste. CoRR Vladlen Koltun, David Hafner
2021	J	`jnl`	ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. CoRR Wei Dong, Yixing Lao, Michael Kaess, Vladlen Koltun
2021	A*	`conf`	Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. ICCV Benjamin Ummenhofer, Vladlen Koltun
2021	A*	`conf`	Deep Drone Acrobatics (Extended Abstract). IJCAI Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021	A*	`conf`	Differentiable Simulation of Soft Multi-body Systems. NeurIPS Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2021	A*	`conf`	Efficient Differentiable Simulation of Articulated Bodies. ICML Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2021	J	`jnl`	Efficient Differentiable Simulation of Articulated Bodies. CoRR Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2021	J	`jnl`	Enhancing Photorealism Enhancement. CoRR Stephan R. Richter, Hassan Abu Alhaija, Vladlen Koltun
2021	A*	`conf`	Geometry Processing with Neural Fields. NeurIPS Guandao Yang, Serge J. Belongie, Bharath Hariharan, Vladlen Koltun
2021	A*	`conf`	Habitat 2.0: Training Home Assistants to Rearrange their Habitat. NeurIPS 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
2021	J	`jnl`	Habitat 2.0: Training Home Assistants to Rearrange their Habitat. CoRR 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
2021	J	`jnl`	High Speed and High Dynamic Range Video with an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2021	A*	`conf`	Large Batch Simulation for Deep Reinforcement Learning. ICLR Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021	J	`jnl`	Large Batch Simulation for Deep Reinforcement Learning. CoRR Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021	J	`jnl`	Learning High-Speed Flight in the Wild. CoRR Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021	J	`jnl`	Learning high-speed flight in the wild. Sci. Robotics Antonio Loquercio, Elia Kaufmann, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2021	A*	`conf`	Learning to drive from a world on rails. ICCV Dian Chen, Vladlen Koltun, Philipp Krähenbühl
2021	J	`jnl`	Learning to drive from a world on rails. CoRR Dian Chen, Vladlen Koltun, Philipp Krähenbühl
2021	J	`jnl`	MSeg: A Composite Dataset for Multi-domain Semantic Segmentation. CoRR John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
2021	A*	`conf`	Megaverse: Simulating Embodied Agents at One Million Experiences per Second. ICML Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
2021	J	`jnl`	Megaverse: Simulating Embodied Agents at One Million Experiences per Second. CoRR Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
2021	J	`jnl`	Non-deep Networks. CoRR Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
2021	A*	`conf`	Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. ICCV Zhipeng Cai, Ozan Sener, Vladlen Koltun
2021	J	`jnl`	Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. CoRR Zhipeng Cai, Ozan Sener, Vladlen Koltun
2021	A*	`conf`	OpenBot: Turning Smartphones into Robots. ICRA Matthias Müller, Vladlen Koltun
2021	J	`jnl`	Physical Gradients for Deep Learning. CoRR Philipp Holl, Vladlen Koltun, Nils Thuerey
2021	A*	`conf`	Point Transformer. ICCV Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun
2021	J	`jnl`	Probabilistic two-stage detection. CoRR Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
2021	A*	`conf`	Self-Supervised Geometric Perception. CVPR Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun
2021	J	`jnl`	Self-supervised Geometric Perception. CoRR Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun
2021	J	`jnl`	Shape from Polarization for Complex Scenes in the Wild. CoRR Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen
2021	J	`jnl`	Simple multi-dataset detection. CoRR Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
2021	A*	`conf`	Stabilizing Equilibrium Models by Jacobian Regularization. ICML Shaojie Bai, Vladlen Koltun, J. Zico Kolter
2021	J	`jnl`	Stabilizing Equilibrium Models by Jacobian Regularization. CoRR Shaojie Bai, Vladlen Koltun, J. Zico Kolter
2021	A*	`conf`	Stable View Synthesis. CVPR Gernot Riegler, Vladlen Koltun
2021	J	`jnl`	The h-index is no longer an effective correlate of scientific reputation. CoRR Vladlen Koltun, David Hafner
2021	A*	`conf`	Training Graph Neural Networks with 1000 Layers. ICML Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
2021	J	`jnl`	Training Graph Neural Networks with 1000 Layers. CoRR Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun
2021	A*	`conf`	Vision Transformers for Dense Prediction. ICCV René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
2021	J	`jnl`	Vision Transformers for Dense Prediction. CoRR René Ranftl, Alexey Bochkovskiy, Vladlen Koltun
2020	J	`jnl`	Auto-decoding Graphs. CoRR Sohil Atul Shah, Vladlen Koltun
2020	—	`conf`	Deep Drone Acrobatics. Robotics: Science and Systems Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020	J	`jnl`	Deep Drone Acrobatics. CoRR Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza
2020	J	`jnl`	Deep Drone Racing: From Simulation to Reality With Domain Randomization. IEEE Trans. Robotics Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2020	A*	`conf`	Deep Global Registration. CVPR Christopher B. Choy, Wei Dong, Vladlen Koltun
2020	J	`jnl`	Deep Global Registration. CoRR Christopher B. Choy, Wei Dong, Vladlen Koltun
2020	J	`jnl`	Drinking from a Firehose: Continual Learning with Web-scale Natural Language. CoRR Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
2020	—	`conf`	Dynamic Low-Light Imaging with Quanta Image Sensors. ECCV (21) Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
2020	J	`jnl`	Dynamic Low-light Imaging with Quanta Image Sensors. CoRR Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan
2020	A*	`conf`	Exploring Self-Attention for Image Recognition. CVPR Hengshuang Zhao, Jiaya Jia, Vladlen Koltun
2020	J	`jnl`	Exploring Self-attention for Image Recognition. CoRR Hengshuang Zhao, Jiaya Jia, Vladlen Koltun
2020	—	`conf`	Free View Synthesis. ECCV (19) Gernot Riegler, Vladlen Koltun
2020	J	`jnl`	Free View Synthesis. CoRR Gernot Riegler, Vladlen Koltun
2020	A*	`conf`	High-Dimensional Convolutional Networks for Geometric Pattern Recognition. CVPR Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
2020	J	`jnl`	High-dimensional Convolutional Networks for Geometric Pattern Recognition. CoRR Christopher B. Choy, Junha Lee, René Ranftl, Jaesik Park, Vladlen Koltun
2020	A*	`conf`	Lagrangian Fluid Simulation with Continuous Convolutions. ICLR Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun
2020	J	`jnl`	Learning Quadrupedal Locomotion over Challenging Terrain. CoRR Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
2020	J	`jnl`	Learning quadrupedal locomotion over challenging terrain. Sci. Robotics Joonho Lee, Jemin Hwangbo, Lorenz Wellhausen, Vladlen Koltun, Marco Hutter
2020	A*	`conf`	Learning to Control PDEs with Differentiable Physics. ICLR Philipp Holl, Nils Thuerey, Vladlen Koltun
2020	J	`jnl`	Learning to Control PDEs with Differentiable Physics. CoRR Philipp Holl, Vladlen Koltun, Nils Thuerey
2020	A*	`conf`	Learning to Guide Random Search. ICLR Ozan Sener, Vladlen Koltun
2020	J	`jnl`	Learning to Guide Random Search. CoRR Ozan Sener, Vladlen Koltun
2020	A*	`conf`	MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. CVPR John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
2020	A*	`conf`	Multiscale Deep Equilibrium Models. NeurIPS Shaojie Bai, Vladlen Koltun, J. Zico Kolter
2020	J	`jnl`	Multiscale Deep Equilibrium Models. CoRR Shaojie Bai, Vladlen Koltun, J. Zico Kolter
2020	J	`jnl`	NeRF++: Analyzing and Improving Neural Radiance Fields. CoRR Kai Zhang, Gernot Riegler, Noah Snavely, Vladlen Koltun
2020	A*	`conf`	On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. CVPR Carolin Schmitt, Simon Donné, Gernot Riegler, Vladlen Koltun, Andreas Geiger
2020	J	`jnl`	OpenBot: Turning Smartphones into Robots. CoRR Matthias Müller, Vladlen Koltun
2020	J	`jnl`	Point Transformer. CoRR Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun
2020	J	`jnl`	Rearrangement: A Challenge for Embodied AI. CoRR 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
2020	A*	`conf`	Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. ICML Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun
2020	J	`jnl`	Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning. CoRR Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav S. Sukhatme, Vladlen Koltun
2020	A*	`conf`	Scalable Differentiable Physics for Learning and Control. ICML Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2020	J	`jnl`	Scalable Differentiable Physics for Learning and Control. CoRR Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C. Lin
2020	J	`jnl`	Scaling Imitation Learning in Minecraft. CoRR Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox
2020	J	`jnl`	Stable View Synthesis. CoRR Gernot Riegler, Vladlen Koltun
2020	—	`conf`	Tracking Objects as Points. ECCV (4) Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
2020	J	`jnl`	Tracking Objects as Points. CoRR Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl
2019	J	`jnl`	A learned shape-adaptive subsurface scattering model. ACM Trans. Graph. Delio Vicini, Vladlen Koltun, Wenzel Jakob
2019	A*	`conf`	Acoustic Non-Line-Of-Sight Imaging. CVPR David B. Lindell, Gordon Wetzstein, Vladlen Koltun
2019	A*	`conf`	Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019	J	`jnl`	Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun
2019	A*	`conf`	Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. CVPR Gernot Riegler, Yiyi Liao, Simon Donné, Vladlen Koltun, Andreas Geiger
2019	A*	`conf`	Consensus Maximization Tree Search Revisited. ICCV Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
2019	J	`jnl`	Consensus Maximization Tree Search Revisited. CoRR Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
2019	J	`jnl`	Deep Drone Racing: From Simulation to Reality with Domain Randomization. CoRR Antonio Loquercio, Elia Kaufmann, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2019	A*	`conf`	Deep Equilibrium Models. NeurIPS Shaojie Bai, J. Zico Kolter, Vladlen Koltun
2019	J	`jnl`	Deep Equilibrium Models. CoRR Shaojie Bai, J. Zico Kolter, Vladlen Koltun
2019	—	`conf`	Deep Layers as Stochastic Solvers. ICLR (Poster) Adel Bibi, Bernard Ghanem, Vladlen Koltun, René Ranftl
2019	A*	`conf`	Differentiable Cloth Simulation for Inverse Problems. NeurIPS Junbang Liang, Ming C. Lin, Vladlen Koltun
2019	J	`jnl`	Does computer vision matter for action? CoRR Brady Zhou, Philipp Krähenbühl, Vladlen Koltun
2019	J	`jnl`	Does computer vision matter for action? Sci. Robotics Brady Zhou, Philipp Krähenbühl, Vladlen Koltun
2019	A*	`conf`	Events-To-Video: Bringing Modern Computer Vision to Event Cameras. CVPR Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2019	J	`jnl`	Events-to-Video: Bringing Modern Computer Vision to Event Cameras. CoRR Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2019	A*	`conf`	Fully Convolutional Geometric Features. ICCV Christopher B. Choy, Jaesik Park, Vladlen Koltun
2019	A*	`conf`	Habitat: A Platform for Embodied AI Research. ICCV Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun
2019	J	`jnl`	Habitat: A Platform for Embodied AI Research. CoRR Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
2019	A*	`conf`	Hiding Video in Audio via Reversible Generative Models. ICCV Hyukryul Yang, Hao Ouyang, Vladlen Koltun, Qifeng Chen
2019	J	`jnl`	High Speed and High Dynamic Range Video with an Event Camera. CoRR Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
2019	J	`jnl`	Learning agile and dynamic motor skills for legged robots. CoRR Jemin Hwangbo, Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter
2019	J	`jnl`	Learning agile and dynamic motor skills for legged robots. Sci. Robotics Joonho Lee, Alexey Dosovitskiy, Dario Bellicoso, Vassilios Tsounis, Vladlen Koltun, Marco Hutter
2019	Misc	`conf`	Learning by Cheating. CoRL Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl
2019	J	`jnl`	Learning by Cheating. CoRR Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl
2019	J	`jnl`	Motion Perception in Reinforcement Learning with Dynamic Objects. CoRR Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2019	A*	`conf`	Seeing Motion in the Dark. ICCV Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun
2019	A	`conf`	Speech Denoising with Deep Feature Losses. INTERSPEECH François G. Germain, Qifeng Chen, Vladlen Koltun
2019	J	`jnl`	The Limited Multi-Label Projection Layer. CoRR Brandon Amos, Vladlen Koltun, J. Zico Kolter
2019	J	`jnl`	Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. CoRR Katrin Lasinger, René Ranftl, Konrad Schindler, Vladlen Koltun
2019	J	`jnl`	Trajectory Optimization for Legged Robots With Slipping Motions. IEEE Robotics Autom. Lett. Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter
2019	—	`conf`	Trellis Networks for Sequence Modeling. ICLR (Poster) Shaojie Bai, J. Zico Kolter, Vladlen Koltun
2019	A*	`conf`	What Do Single-View 3D Reconstruction Networks Learn? CVPR Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
2019	J	`jnl`	What Do Single-view 3D Reconstruction Networks Learn? CoRR Maxim Tatarchenko, Stephan R. Richter, René Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox
2019	J	`jnl`	Zoom To Learn, Learn To Zoom. CoRR Xuaner Cecilia Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun
2019	A*	`conf`	Zoom to Learn, Learn to Zoom. CVPR Xuaner Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun
2018	J	`jnl`	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. CoRR Shaojie Bai, J. Zico Kolter, Vladlen Koltun
2018	J	`jnl`	Assessing Generalization in Deep Reinforcement Learning. CoRR Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song
2018	J	`jnl`	Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. CoRR Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018	A*	`conf`	Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. NeurIPS Zhuwen Li, Qifeng Chen, Vladlen Koltun
2018	J	`jnl`	Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. CoRR Zhuwen Li, Qifeng Chen, Vladlen Koltun
2018	—	`conf`	Convolutional Sequence Modeling Revisited. ICLR (Workshop) Shaojie Bai, J. Zico Kolter, Vladlen Koltun
2018	J	`jnl`	Deep Continuous Clustering. CoRR Sohil Atul Shah, Vladlen Koltun
2018	Misc	`conf`	Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRL Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018	J	`jnl`	Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza
2018	—	`conf`	Deep Fundamental Matrix Estimation. ECCV (1) René Ranftl, Vladlen Koltun
2018	J	`jnl`	Direct Sparse Odometry. IEEE Trans. Pattern Anal. Mach. Intell. Jakob J. Engel, Vladlen Koltun, Daniel Cremers
2018	Misc	`conf`	Driving Policy Transfer via Modularity and Abstraction. CoRL Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
2018	J	`jnl`	Driving Policy Transfer via Modularity and Abstraction. CoRR Matthias Müller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun
2018	A*	`conf`	End-to-End Driving Via Conditional Imitation Learning. ICRA Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
2018	A*	`conf`	Interactive Image Segmentation With Latent Diversity. CVPR Zhuwen Li, Qifeng Chen, Vladlen Koltun
2018	A*	`conf`	Learning to See in the Dark. CVPR Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun
2018	J	`jnl`	Learning to See in the Dark. CoRR Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun
2018	Misc	`conf`	Motion Perception in Reinforcement Learning with Dynamic Objects. CoRL Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	A*	`conf`	Multi-Task Learning as Multi-Objective Optimization. NeurIPS Ozan Sener, Vladlen Koltun
2018	J	`jnl`	Multi-Task Learning as Multi-Objective Optimization. CoRR Ozan Sener, Vladlen Koltun
2018	J	`jnl`	On Evaluation of Embodied Navigation Agents. CoRR Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir
2018	—	`conf`	On Offline Evaluation of Vision-Based Driving Models. ECCV (15) Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
2018	J	`jnl`	On Offline Evaluation of Vision-based Driving Models. CoRR Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
2018	J	`jnl`	Open3D: A Modern Library for 3D Data Processing. CoRR Qian-Yi Zhou, Jaesik Park, Vladlen Koltun
2018	A*	`conf`	Semi-Parametric Image Synthesis. CVPR Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun
2018	J	`jnl`	Semi-parametric Image Synthesis. CoRR Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun
2018	J	`jnl`	Semi-parametric Topological Memory for Navigation. CoRR Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
2018	—	`conf`	Semi-parametric topological memory for navigation. ICLR (Poster) Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun
2018	J	`jnl`	Speech Denoising with Deep Feature Losses. CoRR François G. Germain, Qifeng Chen, Vladlen Koltun
2018	—	`conf`	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. ICLR (Poster) Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	J	`jnl`	TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
2018	A*	`conf`	Tangent Convolutions for Dense Prediction in 3D. CVPR Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou
2018	J	`jnl`	Tangent Convolutions for Dense Prediction in 3D. CoRR Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou
2018	J	`jnl`	Trajectory Optimization With Implicit Hard Contacts. IEEE Robotics Autom. Lett. Jan Carius, René Ranftl, Vladlen Koltun, Marco Hutter
2018	J	`jnl`	Trellis Networks for Sequence Modeling. CoRR Shaojie Bai, J. Zico Kolter, Vladlen Koltun
2017	A*	`conf`	Accurate Optical Flow via Direct Cost Volume Processing. CVPR Jia Xu, René Ranftl, Vladlen Koltun
2017	J	`jnl`	Accurate Optical Flow via Direct Cost Volume Processing. CoRR Jia Xu, René Ranftl, Vladlen Koltun
2017	Misc	`conf`	CARLA: An Open Urban Driving Simulator. CoRL Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
2017	J	`jnl`	CARLA: An Open Urban Driving Simulator. CoRR Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
2017	A*	`conf`	Colored Point Cloud Registration Revisited. ICCV Jaesik Park, Qian-Yi Zhou, Vladlen Koltun
2017	A*	`conf`	Dilated Residual Networks. CVPR Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser
2017	J	`jnl`	Dilated Residual Networks. CoRR Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser
2017	J	`jnl`	End-to-end Driving via Conditional Imitation Learning. CoRR Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun
2017	A*	`conf`	Fast Image Processing with Fully-Convolutional Networks. ICCV Qifeng Chen, Jia Xu, Vladlen Koltun
2017	J	`jnl`	Fast Image Processing with Fully-Convolutional Networks. CoRR Qifeng Chen, Jia Xu, Vladlen Koltun
2017	A*	`conf`	Learning Compact Geometric Features. ICCV Marc Khoury, Qian-Yi Zhou, Vladlen Koltun
2017	J	`jnl`	Learning Compact Geometric Features. CoRR Marc Khoury, Qian-Yi Zhou, Vladlen Koltun
2017	—	`conf`	Learning to Act by Predicting the Future. ICLR Alexey Dosovitskiy, Vladlen Koltun
2017	—	`conf`	Learning to Inpaint for Image Compression. NIPS Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
2017	J	`jnl`	Learning to Inpaint for Image Compression. CoRR Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani
2017	J	`jnl`	MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. CoRR Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, Vladlen Koltun
2017	A*	`conf`	Photographic Image Synthesis with Cascaded Refinement Networks. ICCV Qifeng Chen, Vladlen Koltun
2017	J	`jnl`	Photographic Image Synthesis with Cascaded Refinement Networks. CoRR Qifeng Chen, Vladlen Koltun
2017	A*	`conf`	Playing for Benchmarks. ICCV Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
2017	J	`jnl`	Playing for Benchmarks. CoRR Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun
2017	J	`jnl`	Robust continuous clustering. Proc. Natl. Acad. Sci. USA Sohil Atul Shah, Vladlen Koltun
2017	J	`jnl`	Tanks and temples: benchmarking large-scale scene reconstruction. ACM Trans. Graph. Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, Vladlen Koltun
2016	J	`jnl`	A Large Dataset of Object Scans. CoRR Sungjoon Choi, Qian-Yi Zhou, Stephen Miller, Vladlen Koltun
2016	A*	`conf`	Dense Monocular Depth Estimation in Complex Dynamic Scenes. CVPR René Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun
2016	J	`jnl`	Direct Sparse Odometry. CoRR Jakob J. Engel, Vladlen Koltun, Daniel Cremers
2016	—	`conf`	Fast Global Registration. ECCV (2) Qian-Yi Zhou, Jaesik Park, Vladlen Koltun
2016	A*	`conf`	Feature Space Optimization for Semantic Video Segmentation. CVPR Abhijit Kundu, Vibhav Vineet, Vladlen Koltun
2016	A*	`conf`	Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids. CVPR Qifeng Chen, Vladlen Koltun
2016	J	`jnl`	Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids. CoRR Qifeng Chen, Vladlen Koltun
2016	J	`jnl`	Learning to Act by Predicting the Future. CoRR Alexey Dosovitskiy, Vladlen Koltun
2016	A*	`conf`	Multi-Scale Context Aggregation by Dilated Convolutions. ICLR (Poster) Fisher Yu, Vladlen Koltun
2016	—	`conf`	Playing for Data: Ground Truth from Computer Games. ECCV (2) Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
2016	J	`jnl`	Playing for Data: Ground Truth from Computer Games. CoRR Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun
2015	A*	`conf`	Depth camera tracking with contour cues. CVPR Qian-Yi Zhou, Vladlen Koltun
2015	J	`jnl`	Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA). IEEE Trans. Vis. Comput. Graph. Eftychios Sifakis, Vladlen Koltun
2015	A*	`conf`	Learning to propose objects. CVPR Philipp Krähenbühl, Vladlen Koltun
2015	A*	`conf`	Robust Nonrigid Registration by Convex Optimization. ICCV Qifeng Chen, Vladlen Koltun
2015	A*	`conf`	Robust reconstruction of indoor scenes. CVPR Sungjoon Choi, Qian-Yi Zhou, Vladlen Koltun
2015	J	`jnl`	Single-view reconstruction via joint analysis of image and shape collections. ACM Trans. Graph. Qixing Huang, Hai Wang, Vladlen Koltun
2014	J	`jnl`	Color map optimization for 3D reconstruction with consumer depth cameras. ACM Trans. Graph. Qian-Yi Zhou, Vladlen Koltun
2014	A*	`conf`	Fast MRF Optimization with Application to Depth Reconstruction. CVPR Qifeng Chen, Vladlen Koltun
2014	—	`conf`	Geodesic Object Proposals. ECCV (5) Philipp Krähenbühl, Vladlen Koltun
2014	A*	`conf`	Learning Complex Neural Network Policies with Trajectory Optimization. ICML Sergey Levine, Vladlen Koltun
2014	A*	`conf`	Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras. CVPR Qian-Yi Zhou, Vladlen Koltun
2014	—	`ed.`	The Eurographics / ACM SIGGRAPH Symposium on Computer Animation, SCA 2014, Copenhagen, Denmark, 2014. Symposium on Computer Animation Vladlen Koltun, Eftychios Sifakis
2013	A*	`conf`	A Simple Model for Intrinsic Image Decomposition with Depth Cues. ICCV Qifeng Chen, Vladlen Koltun
2013	J	`jnl`	Animating human lower limbs using contact-invariant optimization. ACM Trans. Graph. Igor Mordatch, Jack M. Wang, Emanuel Todorov, Vladlen Koltun
2013	J	`jnl`	Dense scene reconstruction with points of interest. ACM Trans. Graph. Qian-Yi Zhou, Vladlen Koltun
2013	A*	`conf`	Elastic Fragments for Dense Scene Reconstruction. ICCV Qian-Yi Zhou, Stephen Miller, Vladlen Koltun
2013	—	`conf`	Guided Policy Search. ICML (3) Sergey Levine, Vladlen Koltun
2013	—	`conf`	Parameter Learning and Convergent Inference for Dense Random Fields. ICML (3) Philipp Krähenbühl, Vladlen Koltun
2013	—	`conf`	Variational Policy Search via Trajectory Optimization. NIPS Sergey Levine, Vladlen Koltun
2012	J	`jnl`	A probabilistic model for component-based shape synthesis. ACM Trans. Graph. Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, Vladlen Koltun
2012	J	`jnl`	An algebraic model for parameterized shape editing. ACM Trans. Graph. Martin Bokeloh, Michael Wand, Hans-Peter Seidel, Vladlen Koltun
2012	J	`jnl`	Continuous Inverse Optimal Control with Locally Optimal Examples CoRR Sergey Levine, Vladlen Koltun
2012	A*	`conf`	Continuous Inverse Optimal Control with Locally Optimal Examples. ICML Sergey Levine, Vladlen Koltun
2012	J	`jnl`	Continuous character control with low-dimensional embeddings. ACM Trans. Graph. Sergey Levine, Jack M. Wang, Alexis Haraux, Zoran Popovic, Vladlen Koltun
2012	J	`jnl`	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials CoRR Philipp Krähenbühl, Vladlen Koltun
2012	—	`conf`	Efficient Nonlocal Regularization for Optical Flow. ECCV (1) Philipp Krähenbühl, Vladlen Koltun
2012	A*	`conf`	Interactive acquisition of residential floor plans. ICRA Young Min Kim, Jennifer Dolson, Michael Sokolsky, Vladlen Koltun, Sebastian Thrun
2012	J	`jnl`	Optimizing locomotion controllers using biologically-based actuators and objectives. ACM Trans. Graph. Jack M. Wang, Samuel R. Hamner, Scott L. Delp, Vladlen Koltun
2011	—	`conf`	Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials. NIPS Philipp Krähenbühl, Vladlen Koltun
2011	J	`jnl`	Interactive furniture layout using interior design guidelines. ACM Trans. Graph. Paul Merrell, Eric Schkufza, Zeyang Li, Maneesh Agrawala, Vladlen Koltun
2011	J	`jnl`	Joint shape segmentation with linear programming. ACM Trans. Graph. Qi-Xing Huang, Vladlen Koltun, Leonidas J. Guibas
2011	J	`jnl`	Kinetic Stable Delaunay Graphs CoRR Pankaj K. Agarwal, Jie Gao, Leonidas J. Guibas, Haim Kaplan, Vladlen Koltun, Natan Rubin, Micha Sharir
2011	J	`jnl`	Metropolis procedural modeling. ACM Trans. Graph. Jerry O. Talton, Yu Lou, Steve Lesser, Jared Duke, Radomír Mech, Vladlen Koltun
2011	—	`conf`	Nonlinear Inverse Reinforcement Learning with Gaussian Processes. NIPS Sergey Levine, Zoran Popovic, Vladlen Koltun
2011	J	`jnl`	Pattern-aware shape deformation using sliding dockers. ACM Trans. Graph. Martin Bokeloh, Michael Wand, Vladlen Koltun, Hans-Peter Seidel
2011	J	`jnl`	Probabilistic reasoning for assembly-based 3D modeling. ACM Trans. Graph. Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas J. Guibas, Vladlen Koltun
2011	J	`jnl`	Space-time planning with parameterized locomotion controllers. ACM Trans. Graph. Sergey Levine, Yongjoon Lee, Vladlen Koltun, Zoran Popovic
2010	J	`jnl`	Computer-generated residential building layouts. ACM Trans. Graph. Paul Merrell, Eric Schkufza, Vladlen Koltun
2010	J	`jnl`	Data-driven suggestions for creativity support in 3D modeling. ACM Trans. Graph. Siddhartha Chaudhuri, Vladlen Koltun
2010	—	`conf`	Feature Construction for Inverse Reinforcement Learning. NIPS Sergey Levine, Zoran Popovic, Vladlen Koltun
2010	J	`jnl`	Gesture controllers. ACM Trans. Graph. Sergey Levine, Philipp Krähenbühl, Sebastian Thrun, Vladlen Koltun
2010	—	`conf`	Kinetic stable Delaunay graphs. SCG Pankaj K. Agarwal, Jie Gao, Leonidas J. Guibas, Haim Kaplan, Vladlen Koltun, Natan Rubin, Micha Sharir
2009	J	`jnl`	Exploratory modeling with collaborative design spaces. ACM Trans. Graph. Jerry O. Talton, Daniel Gibson, Lingfeng Yang, Pat Hanrahan, Vladlen Koltun
2009	J	`jnl`	On Overlays and Minimization Diagrams. Discret. Comput. Geom. Vladlen Koltun, Micha Sharir
2009	J	`jnl`	Real-time prosody-driven synthesis of body language. ACM Trans. Graph. Sergey Levine, Christian Theobalt, Vladlen Koltun
2009	J	`jnl`	Smoothed analysis of probabilistic roadmaps. Comput. Geom. Siddhartha Chaudhuri, Vladlen Koltun
2009	J	`jnl`	Special Section On The Thirty-Ninth Annual ACM Symposium On Theory Of Computing (STOC 2007). SIAM J. Comput. Eric Allender, Vladlen Koltun, Maxim Sviridenko
2007	J	`jnl`	Approximately dominating representatives. Theor. Comput. Sci. Vladlen Koltun, Christos H. Papadimitriou
2007	—	`conf`	Smoothed Analysis of Probabilistic Roadmaps. ANALCO Siddhartha Chaudhuri, Vladlen Koltun
2007	J	`jnl`	Special Section on Foundations of Computer Science. SIAM J. Comput. Dimitris Achlioptas, Vladlen Koltun
2006	J	`jnl`	Efficient algorithms for bichromatic separability. ACM Trans. Algorithms Pankaj K. Agarwal, Boris Aronov, Vladlen Koltun
2006	—	`conf`	On overlays and minimization diagrams. SCG Vladlen Koltun, Micha Sharir
2006	J	`jnl`	On the Union of kappa-Round Objects in Three and Four Dimensions. Discret. Comput. Geom. Boris Aronov, Alon Efrat, Vladlen Koltun, Micha Sharir
2005	A	`conf`	Approximately Dominating Representatives. ICDT Vladlen Koltun, Christos H. Papadimitriou
2005	J	`jnl`	Curve-Sensitive Cuttings. SIAM J. Comput. Vladlen Koltun, Micha Sharir
2005	J	`jnl`	Cutting Triangular Cycles of Lines in Space. Discret. Comput. Geom. Boris Aronov, Vladlen Koltun, Micha Sharir
2005	—	`conf`	Hardware-Assisted Natural Neighbor Interpolation. ALENEX/ANALCO Quanfu Fan, Alon Efrat, Vladlen Koltun, Shankar Krishnan, Suresh Venkatasubramanian
2005	J	`jnl`	Incidences between Points and Circles in Three and Higher Dimensions. Discret. Comput. Geom. Boris Aronov, Vladlen Koltun, Micha Sharir
2005	J	`jnl`	Lines Avoiding Unit Balls in Three Dimensions. Discret. Comput. Geom. Pankaj K. Agarwal, Boris Aronov, Vladlen Koltun, Micha Sharir
2005	J	`jnl`	Matching Polyhedral Terrains Using Overlays of Envelopes. Algorithmica Vladlen Koltun, Carola Wenk
2005	B	`conf`	Near-Optimal Pricing in Near-Linear Time. WADS Jason D. Hartline, Vladlen Koltun
2005	A*	`conf`	Pianos are not flat: rigid motion planning in three dimensions. SODA Vladlen Koltun
2005	B	`conf`	Separability with Outliers. ISAAC Sariel Har-Peled, Vladlen Koltun
2004	J	`jnl`	Almost tight upper bounds for vertical decompositions in four dimensions. J. ACM Vladlen Koltun
2004	A*	`conf`	Efficient algorithms for bichromatic separability. SODA Pankaj K. Agarwal, Boris Aronov, Vladlen Koltun
2004	—	`conf`	Matching Polyhedral Terrains Using Overlays of Envelopes. SWAT Vladlen Koltun, Carola Wenk
2004	—	`conf`	On lines avoiding unit balls in three dimensions. SCG Pankaj K. Agarwal, Boris Aronov, Vladlen Koltun, Micha Sharir
2004	—	`conf`	On the union of kapa-round objects. SCG Boris Aronov, Alon Efrat, Vladlen Koltun, Micha Sharir
2004	J	`jnl`	Polyhedral Voronoi Diagrams of Polyhedra in Three Dimensions. Discret. Comput. Geom. Vladlen Koltun, Micha Sharir
2004	J	`jnl`	Ready, Set, Go! The Voronoi diagram of moving points that start from a line. Inf. Process. Lett. Vladlen Koltun
2004	J	`jnl`	Sharp Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions. Discret. Comput. Geom. Vladlen Koltun
2003	J	`jnl`	3-Dimensional Euclidean Voronoi Diagrams of Lines with a Fixed Number of Orientations. SIAM J. Comput. Vladlen Koltun, Micha Sharir
2003	—	`conf`	Curve-sensitive cuttings. SCG Vladlen Koltun, Micha Sharir
2003	A*	`conf`	Cutting triangular cycles of lines in space. STOC Boris Aronov, Vladlen Koltun, Micha Sharir
2003	—	`conf`	Efficient algorithms for shared camera control. SCG Sariel Har-Peled, Vladlen Koltun, Dezhen Song, Kenneth Y. Goldberg
2003	J	`jnl`	Segment Intersection Searching Problems in General Settings. Discret. Comput. Geom. Vladlen Koltun
2003	J	`jnl`	The Partition Technique for Overlays of Envelopes. SIAM J. Comput. Vladlen Koltun, Micha Sharir
2002	—	`conf`	Incidences between points and circles in three and higher dimensions. SCG Boris Aronov, Vladlen Koltun, Micha Sharir
2002	A*	`conf`	On the overlay of envelopes in four dimensions. SODA Vladlen Koltun, Micha Sharir
2002	—	`conf`	Polyhedral Voronoi diagrams of polyhedra in three dimensions. SCG Vladlen Koltun, Micha Sharir
2002	A*	`conf`	The Partition Technique for Overlays of Envelopes. FOCS Vladlen Koltun, Micha Sharir
2002	—	`conf`	Three dimensional euclidean Voronoi diagrams of lines with a fixed number of orientations. SCG Vladlen Koltun, Micha Sharir
2001	A*	`conf`	Almost Tight Upper Bounds for Vertical Decompositions in Four Dimensions. FOCS Vladlen Koltun
2001	B	`conf`	Complexity Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions. WADS Vladlen Koltun
2001	—	`conf`	Hardware-Accelerated from-Region Visibility Using a Dual Ray Space. Rendering Techniques Vladlen Koltun, Yiorgos Chrysanthou, Daniel Cohen-Or
2001	—	`conf`	Segment intersection searching problems in general settings. SCG Vladlen Koltun
2000	—	`conf`	Selecting Effective Occluders for Visibility Culling. Eurographics (Short Presentations) Vladlen Koltun, Daniel Cohen-Or
2000	—	`conf`	Virtual Occluders: An Efficient Intermediate PVS Representation. Rendering Techniques Vladlen Koltun, Yiorgos Chrysanthou, Daniel Cohen-Or