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Vladlen 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 - [i106]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) - 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
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 796-810 (2023) - [j58]Stephan R. Richter
Enhancing Photorealism Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1700-1715 (2023) - [j57]Wei Dong
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
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
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. Sci. Robotics 8(82) (2023) - [j54]Brennan Shacklett
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
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
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
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
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
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
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
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
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
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
Learning quadrupedal locomotion over challenging terrain. Sci. Robotics 5(47): 5986 (2020) - [j48]Antonio Loquercio
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
High-Dimensional Convolutional Networks for Geometric Pattern Recognition. CVPR 2020: 11224-11233 - [c103]Yiheng Chi
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
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
Trajectory Optimization for Legged Robots With Slipping Motions. IEEE Robotics Autom. Lett. 4(3): 3013-3020 (2019) - [j46]Joonho Lee
Learning agile and dynamic motor skills for legged robots. Sci. Robotics 4(26) (2019) - [j45]Brady Zhou
Does computer vision matter for action? Sci. Robotics 4(30) (2019) - [j44]Delio Vicini
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
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
Seeing Motion in the Dark. ICCV 2019: 3184-3193 - [c84]Christopher B. Choy, Jaesik Park
Fully Convolutional Geometric Features. ICCV 2019: 8957-8965 - [c83]Manolis Savva
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
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. ICRA 2019: 690-696 - [c79]François G. Germain, Qifeng Chen
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
Learning by Cheating. CoRR abs/1912.12294 (2019) - 2018
- [j43]Jakob Engel
Direct Sparse Odometry. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 611-625 (2018) - [j42]Jan Carius
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
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
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
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
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, Vladlen Koltun, Thomas Brox:
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. CoRR abs/1806.01175 (2018) - [i28]Elia Kaufmann, Antonio Loquercio, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza:
Deep Drone Racing: Learning Agile Flight in Dynamic Environments. CoRR abs/1806.08548 (2018) - [i27]François G. Germain, Qifeng Chen, Vladlen Koltun:
Speech Denoising with Deep Feature Losses. CoRR abs/1806.10522 (2018) - [i26]Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou:
Tangent Convolutions for Dense Prediction in 3D. CoRR abs/1807.02443 (2018) - [i25]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:
On Evaluation of Embodied Navigation Agents. CoRR abs/1807.06757 (2018) - [i24]Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-based Driving Models. CoRR abs/1809.04843 (2018) - [i23]Ozan Sener, Vladlen Koltun:
Multi-Task Learning as Multi-Objective Optimization. CoRR abs/1810.04650 (2018) - [i22]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. CoRR abs/1810.06224 (2018) - [i21]Shaojie Bai, J. Zico Kolter, Vladlen Koltun:
Trellis Networks for Sequence Modeling. CoRR abs/1810.06682 (2018) - [i20]Zhuwen Li, Qifeng Chen, Vladlen Koltun:
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. CoRR abs/1810.10659 (2018) - [i19]Charles Packer, Katelyn Gao, Jernej Kos, Philipp Krähenbühl, Vladlen Koltun, Dawn Song:
Assessing Generalization in Deep Reinforcement Learning. CoRR abs/1810.12282 (2018) - 2017
- [j41]Sohil Atul Shah, Vladlen Koltun
Robust continuous clustering. Proc. Natl. Acad. Sci. USA 114(37): 9814-9819 (2017) - [j40]Arno Knapitsch, Jaesik Park
Tanks and temples: benchmarking large-scale scene reconstruction. ACM Trans. Graph. 36(4): 78:1-78:13 (2017) - [c61]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRL 2017: 1-16 - [c60]Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser:
Dilated Residual Networks. CVPR 2017: 636-644 - [c59]Jia Xu, René Ranftl, Vladlen Koltun:
Accurate Optical Flow via Direct Cost Volume Processing. CVPR 2017: 5807-5815 - [c58]Jaesik Park
Colored Point Cloud Registration Revisited. ICCV 2017: 143-152 - [c57]Marc Khoury, Qian-Yi Zhou, Vladlen Koltun:
Learning Compact Geometric Features. ICCV 2017: 153-161 - [c56]Qifeng Chen
Photographic Image Synthesis with Cascaded Refinement Networks. ICCV 2017: 1520-1529 - [c55]Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun:
Playing for Benchmarks. ICCV 2017: 2232-2241 - [c54]Qifeng Chen
Fast Image Processing with Fully-Convolutional Networks. ICCV 2017: 2516-2525 - [c53]Alexey Dosovitskiy, Vladlen Koltun:
Learning to Act by Predicting the Future. ICLR 2017 - [c52]Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani:
Learning to Inpaint for Image Compression. NIPS 2017: 1246-1255 - [i18]Jia Xu, René Ranftl, Vladlen Koltun:
Accurate Optical Flow via Direct Cost Volume Processing. CoRR abs/1704.07325 (2017) - [i17]Fisher Yu, Vladlen Koltun, Thomas A. Funkhouser:
Dilated Residual Networks. CoRR abs/1705.09914 (2017) - [i16]Qifeng Chen, Vladlen Koltun:
Photographic Image Synthesis with Cascaded Refinement Networks. CoRR abs/1707.09405 (2017) - [i15]Qifeng Chen, Jia Xu, Vladlen Koltun:
Fast Image Processing with Fully-Convolutional Networks. CoRR abs/1709.00643 (2017) - [i14]Marc Khoury, Qian-Yi Zhou, Vladlen Koltun:
Learning Compact Geometric Features. CoRR abs/1709.05056 (2017) - [i13]Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun:
Playing for Benchmarks. CoRR abs/1709.07322 (2017) - [i12]Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani:
Learning to Inpaint for Image Compression. CoRR abs/1709.08855 (2017) - [i11]Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun:
End-to-end Driving via Conditional Imitation Learning. CoRR abs/1710.02410 (2017) - [i10]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRR abs/1711.03938 (2017) - [i9]Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, Vladlen Koltun:
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. CoRR abs/1712.03931 (2017) - 2016
- [c51]Abhijit Kundu
Feature Space Optimization for Semantic Video Segmentation. CVPR 2016: 3168-3175 - [c50]René Ranftl, Vibhav Vineet, Qifeng Chen
Dense Monocular Depth Estimation in Complex Dynamic Scenes. CVPR 2016: 4058-4066 - [c49]Qifeng Chen
Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids. CVPR 2016: 4706-4714 - [c48]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. ECCV (2) 2016: 102-118 - [c47]Qian-Yi Zhou, Jaesik Park
Fast Global Registration. ECCV (2) 2016: 766-782 - [c46]Fisher Yu, Vladlen Koltun:
Multi-Scale Context Aggregation by Dilated Convolutions. ICLR (Poster) 2016 - [i8]Sungjoon Choi, Qian-Yi Zhou, Stephen Miller, Vladlen Koltun:
A Large Dataset of Object Scans. CoRR abs/1602.02481 (2016) - [i7]Qifeng Chen, Vladlen Koltun:
Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids. CoRR abs/1604.03513 (2016) - [i6]Jakob Engel, Vladlen Koltun, Daniel Cremers:
Direct Sparse Odometry. CoRR abs/1607.02565 (2016) - [i5]Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun:
Playing for Data: Ground Truth from Computer Games. CoRR abs/1608.02192 (2016) - [i4]Alexey Dosovitskiy, Vladlen Koltun:
Learning to Act by Predicting the Future. CoRR abs/1611.01779 (2016) - 2015
- [j39]Qixing Huang, Hai Wang, Vladlen Koltun:
Single-view reconstruction via joint analysis of image and shape collections. ACM Trans. Graph. 34(4): 87:1-87:10 (2015) - [j38]Eftychios Sifakis, Vladlen Koltun:
Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA). IEEE Trans. Vis. Comput. Graph. 21(10): 1101-1102 (2015) - [c45]Qian-Yi Zhou, Vladlen Koltun:
Depth camera tracking with contour cues. CVPR 2015: 632-638 - [c44]Philipp Krähenbühl, Vladlen Koltun:
Learning to propose objects. CVPR 2015: 1574-1582 - [c43]Sungjoon Choi, Qian-Yi Zhou, Vladlen Koltun:
Robust reconstruction of indoor scenes. CVPR 2015: 5556-5565 - [c42]Qifeng Chen
Robust Nonrigid Registration by Convex Optimization. ICCV 2015: 2039-2047 - 2014
- [j37]Qian-Yi Zhou, Vladlen Koltun:
Color map optimization for 3D reconstruction with consumer depth cameras. ACM Trans. Graph. 33(4): 155:1-155:10 (2014) - [c41]Qian-Yi Zhou, Vladlen Koltun:
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras. CVPR 2014: 454-460 - [c40]Qifeng Chen
Fast MRF Optimization with Application to Depth Reconstruction. CVPR 2014: 3914-3921 - [c39]Philipp Krähenbühl, Vladlen Koltun:
Geodesic Object Proposals. ECCV (5) 2014: 725-739 - [c38]Sergey Levine, Vladlen Koltun:
Learning Complex Neural Network Policies with Trajectory Optimization. ICML 2014: 829-837 - [e1]Vladlen Koltun, Eftychios Sifakis:
The Eurographics / ACM SIGGRAPH Symposium on Computer Animation, SCA 2014, Copenhagen, Denmark, 2014. Eurographics Association 2014, ISBN 978-3-905674-61-3 [contents] - 2013
- [j36]Qian-Yi Zhou, Vladlen Koltun:
Dense scene reconstruction with points of interest. ACM Trans. Graph. 32(4): 112:1-112:8 (2013) - [j35]Igor Mordatch, Jack M. Wang, Emanuel Todorov, Vladlen Koltun:
Animating human lower limbs using contact-invariant optimization. ACM Trans. Graph. 32(6): 203:1-203:8 (2013) - [c37]Qifeng Chen
A Simple Model for Intrinsic Image Decomposition with Depth Cues. ICCV 2013: 241-248 - [c36]Qian-Yi Zhou, Stephen Miller, Vladlen Koltun:
Elastic Fragments for Dense Scene Reconstruction. ICCV 2013: 473-480 - [c35]Sergey Levine, Vladlen Koltun:
Guided Policy Search. ICML (3) 2013: 1-9 - [c34]Philipp Krähenbühl, Vladlen Koltun:
Parameter Learning and Convergent Inference for Dense Random Fields. ICML (3) 2013: 513-521 - [c33]Sergey Levine, Vladlen Koltun:
Variational Policy Search via Trajectory Optimization. NIPS 2013: 207-215 - 2012
- [j34]Jack M. Wang, Samuel R. Hamner, Scott L. Delp
Optimizing locomotion controllers using biologically-based actuators and objectives. ACM Trans. Graph. 31(4): 25:1-25:11 (2012) - [j33]Sergey Levine, Jack M. Wang, Alexis Haraux, Zoran Popovic, Vladlen Koltun:
Continuous character control with low-dimensional embeddings. ACM Trans. Graph. 31(4): 28:1-28:10 (2012) - [j32]Evangelos Kalogerakis
A probabilistic model for component-based shape synthesis. ACM Trans. Graph. 31(4): 55:1-55:11 (2012) - [j31]Martin Bokeloh, Michael Wand, Hans-Peter Seidel, Vladlen Koltun:
An algebraic model for parameterized shape editing. ACM Trans. Graph. 31(4): 78:1-78:10 (2012) - [c32]Philipp Krähenbühl, Vladlen Koltun:
Efficient Nonlocal Regularization for Optical Flow. ECCV (1) 2012: 356-369 - [c31]Sergey Levine, Vladlen Koltun:
Continuous Inverse Optimal Control with Locally Optimal Examples. ICML 2012 - [c30]Young Min Kim, Jennifer Dolson, Michael Sokolsky, Vladlen Koltun, Sebastian Thrun:
Interactive acquisition of residential floor plans. ICRA 2012: 3055-3062 - [i3]Sergey Levine, Vladlen Koltun:
Continuous Inverse Optimal Control with Locally Optimal Examples. CoRR abs/1206.4617 (2012) - [i2]Philipp Krähenbühl, Vladlen Koltun:
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials. CoRR abs/1210.5644 (2012) - 2011
- [j30]Jerry O. Talton, Yu Lou, Steve Lesser
Metropolis procedural modeling. ACM Trans. Graph. 30(2): 11:1-11:14 (2011) - [j29]Sergey Levine, Yongjoon Lee, Vladlen Koltun, Zoran Popovic:
Space-time planning with parameterized locomotion controllers. ACM Trans. Graph. 30(3): 23:1-23:11 (2011) - [j28]Siddhartha Chaudhuri, Evangelos Kalogerakis
Probabilistic reasoning for assembly-based 3D modeling. ACM Trans. Graph. 30(4): 35 (2011) - [j27]Paul Merrell
Interactive furniture layout using interior design guidelines. ACM Trans. Graph. 30(4): 87 (2011) - [j26]Martin Bokeloh, Michael Wand, Vladlen Koltun, Hans-Peter Seidel:
Pattern-aware shape deformation using sliding dockers. ACM Trans. Graph. 30(6): 123 (2011) - [j25]Qi-Xing Huang, Vladlen Koltun, Leonidas J. Guibas:
Joint shape segmentation with linear programming. ACM Trans. Graph. 30(6): 125 (2011) - [c29]Sergey Levine, Zoran Popovic, Vladlen Koltun:
Nonlinear Inverse Reinforcement Learning with Gaussian Processes. NIPS 2011: 19-27 - [c28]Philipp Krähenbühl, Vladlen Koltun:
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials. NIPS 2011: 109-117 - [i1]Pankaj K. Agarwal, Jie Gao, Leonidas J. Guibas, Haim Kaplan, Vladlen Koltun, Natan Rubin, Micha Sharir:
Kinetic Stable Delaunay Graphs. CoRR abs/1104.0622 (2011) - 2010
- [j24]Sergey Levine, Philipp Krähenbühl, Sebastian Thrun, Vladlen Koltun:
Gesture controllers. ACM Trans. Graph. 29(4): 124:1-124:11 (2010) - [j23]Paul Merrell
Computer-generated residential building layouts. ACM Trans. Graph. 29(6): 181 (2010) - [j22]Siddhartha Chaudhuri, Vladlen Koltun:
Data-driven suggestions for creativity support in 3D modeling. ACM Trans. Graph. 29(6): 183 (2010) - [c27]Pankaj K. Agarwal, Jie Gao, Leonidas J. Guibas, Haim Kaplan, Vladlen Koltun, Natan Rubin
Kinetic stable Delaunay graphs. SCG 2010: 127-136 - [c26]Sergey Levine, Zoran Popovic, Vladlen Koltun:
Feature Construction for Inverse Reinforcement Learning. NIPS 2010: 1342-1350
2000 – 2009
- 2009
- [j21]Siddhartha Chaudhuri, Vladlen Koltun:
Smoothed analysis of probabilistic roadmaps. Comput. Geom. 42(8): 731-747 (2009) - [j20]Vladlen Koltun, Micha Sharir:
On Overlays and Minimization Diagrams. Discret. Comput. Geom. 41(3): 385-397 (2009) - [j19]Eric Allender, Vladlen Koltun, Maxim Sviridenko:
Special Section On The Thirty-Ninth Annual ACM Symposium On Theory Of Computing (STOC 2007). SIAM J. Comput. 39(3): 978 (2009) - [j18]Jerry O. Talton, Daniel Gibson, Lingfeng Yang, Pat Hanrahan, Vladlen Koltun:
Exploratory modeling with collaborative design spaces. ACM Trans. Graph. 28(5): 167 (2009) - [j17]Sergey Levine, Christian Theobalt
Real-time prosody-driven synthesis of body language. ACM Trans. Graph. 28(5): 172 (2009) - 2007
- [j16]Dimitris Achlioptas, Vladlen Koltun:
Special Section on Foundations of Computer Science. SIAM J. Comput. 37(1): 165 (2007) - [j15]Vladlen Koltun, Christos H. Papadimitriou:
Approximately dominating representatives. Theor. Comput. Sci. 371(3): 148-154 (2007) - [c25]Siddhartha Chaudhuri, Vladlen Koltun:
Smoothed Analysis of Probabilistic Roadmaps. ANALCO 2007: 250-264 - 2006
- [j14]Boris Aronov
On the Union of kappa-Round Objects in Three and Four Dimensions. Discret. Comput. Geom. 36(4): 511-526 (2006) - [j13]Pankaj K. Agarwal, Boris Aronov
Efficient algorithms for bichromatic separability. ACM Trans. Algorithms 2(2): 209-227 (2006) - [c24]Vladlen Koltun, Micha Sharir:
On overlays and minimization diagrams. SCG 2006: 395-401 - 2005
- [j12]Vladlen Koltun, Carola Wenk
Matching Polyhedral Terrains Using Overlays of Envelopes. Algorithmica 41(3): 159-183 (2005) - [j11]Boris Aronov
Incidences between Points and Circles in Three and Higher Dimensions. Discret. Comput. Geom. 33(2): 185-206 (2005) - [j10]Boris Aronov
Cutting Triangular Cycles of Lines in Space. Discret. Comput. Geom. 33(2): 231-247 (2005) - [j9]Pankaj K. Agarwal, Boris Aronov
Lines Avoiding Unit Balls in Three Dimensions. Discret. Comput. Geom. 34(2): 231-250 (2005) - [j8]Vladlen Koltun, Micha Sharir:
Curve-Sensitive Cuttings. SIAM J. Comput. 34(4): 863-878 (2005) - [c23]Quanfu Fan, Alon Efrat, Vladlen Koltun, Shankar Krishnan, Suresh Venkatasubramanian:
Hardware-Assisted Natural Neighbor Interpolation. ALENEX/ANALCO 2005: 111-120 - [c22]Vladlen Koltun, Christos H. Papadimitriou:
Approximately Dominating Representatives. ICDT 2005: 204-214 - [c21]Sariel Har-Peled, Vladlen Koltun:
Separability with Outliers. ISAAC 2005: 28-39 - [c20]Vladlen Koltun:
Pianos are not flat: rigid motion planning in three dimensions. SODA 2005: 505-514 - [c19]Jason D. Hartline, Vladlen Koltun:
Near-Optimal Pricing in Near-Linear Time. WADS 2005: 422-431 - 2004
- [j7]Vladlen Koltun, Micha Sharir:
Polyhedral Voronoi Diagrams of Polyhedra in Three Dimensions. Discret. Comput. Geom. 31(1): 83-124 (2004) - [j6]Vladlen Koltun:
Sharp Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions. Discret. Comput. Geom. 31(3): 435-460 (2004) - [j5]Vladlen Koltun:
Ready, Set, Go! The Voronoi diagram of moving points that start from a line. Inf. Process. Lett. 89(5): 233-235 (2004) - [j4]Vladlen Koltun:
Almost tight upper bounds for vertical decompositions in four dimensions. J. ACM 51(5): 699-730 (2004) - [c18]Pankaj K. Agarwal, Boris Aronov, Vladlen Koltun, Micha Sharir:
On lines avoiding unit balls in three dimensions. SCG 2004: 36-45 - [c17]Boris Aronov, Alon Efrat, Vladlen Koltun, Micha Sharir:
On the union of kapa-round objects. SCG 2004: 383-390 - [c16]Pankaj K. Agarwal, Boris Aronov, Vladlen Koltun:
Efficient algorithms for bichromatic separability. SODA 2004: 682-690 - [c15]Vladlen Koltun, Carola Wenk:
Matching Polyhedral Terrains Using Overlays of Envelopes. SWAT 2004: 114-126 - 2003
- [j3]Vladlen Koltun:
Segment Intersection Searching Problems in General Settings. Discret. Comput. Geom. 30(1): 25-44 (2003) - [j2]Vladlen Koltun, Micha Sharir:
3-Dimensional Euclidean Voronoi Diagrams of Lines with a Fixed Number of Orientations. SIAM J. Comput. 32(3): 616-642 (2003) - [j1]Vladlen Koltun, Micha Sharir:
The Partition Technique for Overlays of Envelopes. SIAM J. Comput. 32(4): 841-863 (2003) - [c14]Sariel Har-Peled
Efficient algorithms for shared camera control. SCG 2003: 68-77 - [c13]Vladlen Koltun, Micha Sharir:
Curve-sensitive cuttings. SCG 2003: 136-143 - [c12]Boris Aronov, Vladlen Koltun, Micha Sharir:
Cutting triangular cycles of lines in space. STOC 2003: 547-555 - 2002
- [c11]Boris Aronov, Vladlen Koltun, Micha Sharir:
Incidences between points and circles in three and higher dimensions. SCG 2002: 116-122 - [c10]Vladlen Koltun, Micha Sharir:
Three dimensional euclidean Voronoi diagrams of lines with a fixed number of orientations. SCG 2002: 217-226 - [c9]Vladlen Koltun, Micha Sharir:
Polyhedral Voronoi diagrams of polyhedra in three dimensions. SCG 2002: 227-236 - [c8]Vladlen Koltun, Micha Sharir:
The Partition Technique for Overlays of Envelopes. FOCS 2002: 637- - [c7]Vladlen Koltun, Micha Sharir:
On the overlay of envelopes in four dimensions. SODA 2002: 810-819 - 2001
- [c6]Vladlen Koltun:
Segment intersection searching problems in general settings. SCG 2001: 197-206 - [c5]Vladlen Koltun:
Almost Tight Upper Bounds for Vertical Decompositions in Four Dimensions. FOCS 2001: 56-65 - [c4]Vladlen Koltun, Yiorgos Chrysanthou, Daniel Cohen-Or:
Hardware-Accelerated from-Region Visibility Using a Dual Ray Space. Rendering Techniques 2001: 205-216 - [c3]Vladlen Koltun:
Complexity Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions. WADS 2001: 99-110 - 2000
- [c2]Vladlen Koltun, Daniel Cohen-Or:
Selecting Effective Occluders for Visibility Culling. Eurographics (Short Presentations) 2000 - [c1]Vladlen Koltun, Yiorgos Chrysanthou, Daniel Cohen-Or:
Virtual Occluders: An Efficient Intermediate PVS Representation. Rendering Techniques 2000: 59-70
Coauthor Index
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