Koltun, Vladlen

108 publications

ICLR 2026 Sharp Monocular View Synthesis in Less than a Second Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan Richter, Vladlen Koltun

ICLR 2025 CoMotion: Concurrent Multi-Person 3D Motion Alejandro Newell, Peiyun Hu, Lahav Lipson, Stephan Richter, Vladlen Koltun

ICLR 2025 Cut Your Losses in Large-Vocabulary Language Models Erik Wijmans, Brody Huval, Alexander Hertzberg, Vladlen Koltun, Philipp Kraehenbuehl

ICLR 2025 Depth Pro: Sharp Monocular Metric Depth in Less than a Second Alexey Bochkovskiy, Amaël Delaunoy, Hugo Germain, Marcel Santos, Yichao Zhou, Stephan Richter, Vladlen Koltun

ICLR 2025 Does Spatial Cognition Emerge in Frontier Models? Santhosh Kumar Ramakrishnan, Erik Wijmans, Philipp Kraehenbuehl, Vladlen Koltun

ICML 2025 Robust Autonomy Emerges from Self-Play Marco Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Kraehenbuehl, Vladlen Koltun

CVPR 2022 Dancing Under the Stars: Video Denoising in Starlight Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun

NeurIPS 2022 Domain Generalization Without Excess Empirical Risk Ozan Sener, Vladlen Koltun

CVPR 2022 Global Tracking Transformers Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl

NeurIPS 2022 Guaranteed Conservation of Momentum for Learning Particle-Based Fluid Dynamics Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey

ICLR 2022 Language-Driven Semantic Segmentation Boyi Li, Kilian Q Weinberger, Serge Belongie, Vladlen Koltun, Rene Ranftl

ICLR 2022 Neural Deep Equilibrium Solvers Shaojie Bai, Vladlen Koltun, J Zico Kolter

NeurIPS 2022 Non-Deep Networks Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun

NeurIPS 2022 Scale-Invariant Learning by Physics Inversion Philipp Holl, Vladlen Koltun, Nils Thuerey

CVPR 2022 Shape from Polarization for Complex Scenes in the Wild Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen

CVPR 2022 Simple Multi-Dataset Detection Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

ICCV 2021 Adaptive Surface Reconstruction with Multiscale Convolutional Kernels Benjamin Ummenhofer, Vladlen Koltun

IJCAI 2021 Deep Drone Acrobatics (Extended Abstract) Elia Kaufmann, Antonio Loquercio, René Ranftl, Matthias Müller, Vladlen Koltun, Davide Scaramuzza

NeurIPS 2021 Differentiable Simulation of Soft Multi-Body Systems Yiling Qiao, Junbang Liang, Vladlen Koltun, Ming Lin

ICML 2021 Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming C Lin

NeurIPS 2021 Geometry Processing with Neural Fields Guandao Yang, Serge Belongie, Bharath Hariharan, Vladlen Koltun

NeurIPS 2021 Habitat 2.0: Training Home Assistants to Rearrange Their Habitat Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimír Vondruš, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra

ICLR 2021 Large Batch Simulation for Deep Reinforcement Learning Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

ICCV 2021 Learning to Drive from a World on Rails Dian Chen, Vladlen Koltun, Philipp Krähenbühl

ICML 2021 Megaverse: Simulating Embodied Agents at One Million Experiences per Second Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun

ICCV 2021 Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data Zhipeng Cai, Ozan Sener, Vladlen Koltun

ICCV 2021 Point Transformer Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H.S. Torr, Vladlen Koltun

CVPR 2021 Self-Supervised Geometric Perception Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun

ICML 2021 Stabilizing Equilibrium Models by Jacobian Regularization Shaojie Bai, Vladlen Koltun, Zico Kolter

CVPR 2021 Stable View Synthesis Gernot Riegler, Vladlen Koltun

ICML 2021 Training Graph Neural Networks with 1000 Layers Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun

ICCV 2021 Vision Transformers for Dense Prediction René Ranftl, Alexey Bochkovskiy, Vladlen Koltun

CVPR 2020 Deep Global Registration Christopher Choy, Wei Dong, Vladlen Koltun

ECCV 2020 Dynamic Low-Light Imaging with Quanta Image Sensors Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan

CVPR 2020 Exploring Self-Attention for Image Recognition Hengshuang Zhao, Jiaya Jia, Vladlen Koltun

ECCV 2020 Free View Synthesis Gernot Riegler, Vladlen Koltun

CVPR 2020 High-Dimensional Convolutional Networks for Geometric Pattern Recognition Christopher Choy, Junha Lee, Rene Ranftl, Jaesik Park, Vladlen Koltun

ICLR 2020 Lagrangian Fluid Simulation with Continuous Convolutions Benjamin Ummenhofer, Lukas Prantl, Nils Thuerey, Vladlen Koltun

ICLR 2020 Learning to Control PDEs with Differentiable Physics Philipp Holl, Vladlen Koltun, Nils Thuerey

ICLR 2020 Learning to Guide Random Search Ozan Sener, Vladlen Koltun

CVPR 2020 MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun

NeurIPS 2020 Multiscale Deep Equilibrium Models Shaojie Bai, Vladlen Koltun, J. Zico Kolter

CVPR 2020 On Joint Estimation of Pose, Geometry and svBRDF from a Handheld Scanner Carolin Schmitt, Simon Donne, Gernot Riegler, Vladlen Koltun, Andreas Geiger

ICML 2020 Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun

ICML 2020 Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming Lin

ECCV 2020 Tracking Objects as Points Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl

CVPR 2019 Acoustic Non-Line-of-Sight Imaging David B. Lindell, Gordon Wetzstein, Vladlen Koltun

CVPR 2019 Connecting the Dots: Learning Representations for Active Monocular Depth Estimation Gernot Riegler, Yiyi Liao, Simon Donne, Vladlen Koltun, Andreas Geiger

ICCV 2019 Consensus Maximization Tree Search Revisited Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun

NeurIPS 2019 Deep Equilibrium Models Shaojie Bai, J. Zico Kolter, Vladlen Koltun

ICLR 2019 Deep Layers as Stochastic Solvers Adel Bibi, Bernard Ghanem, Vladlen Koltun, Rene Ranftl

NeurIPS 2019 Differentiable Cloth Simulation for Inverse Problems Junbang Liang, Ming Lin, Vladlen Koltun

CVPR 2019 Events-to-Video: Bringing Modern Computer Vision to Event Cameras Henri Rebecq, Rene Ranftl, Vladlen Koltun, Davide Scaramuzza

ICCV 2019 Fully Convolutional Geometric Features Christopher Choy, Jaesik Park, Vladlen Koltun

ICCV 2019 Habitat: A Platform for Embodied AI Research Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra

ICCV 2019 Hiding Video in Audio via Reversible Generative Models Hyukryul Yang, Hao Ouyang, Vladlen Koltun, Qifeng Chen

CoRL 2019 Learning by Cheating Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krähenbühl

ICCV 2019 Seeing Motion in the Dark Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun

ICLR 2019 Trellis Networks for Sequence Modeling Shaojie Bai, J. Zico Kolter, Vladlen Koltun

CVPR 2019 What Do Single-View 3D Reconstruction Networks Learn? Maxim Tatarchenko, Stephan R. Richter, Rene Ranftl, Zhuwen Li, Vladlen Koltun, Thomas Brox

CVPR 2019 Zoom to Learn, Learn to Zoom Xuaner Zhang, Qifeng Chen, Ren Ng, Vladlen Koltun

NeurIPS 2018 Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search Zhuwen Li, Qifeng Chen, Vladlen Koltun

CoRL 2018 Deep Drone Racing: Learning Agile Flight in Dynamic Environments Elia Kaufmann, Antonio Loquercio, Rene Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza

ECCV 2018 Deep Fundamental Matrix Estimation Rene Ranftl, Vladlen Koltun

CoRL 2018 Driving Policy Transfer via Modularity and Abstraction Matthias Mueller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun

CVPR 2018 Interactive Image Segmentation with Latent Diversity Zhuwen Li, Qifeng Chen, Vladlen Koltun

CVPR 2018 Learning to See in the Dark Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun

CoRL 2018 Motion Perception in Reinforcement Learning with Dynamic Objects Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox

NeurIPS 2018 Multi-Task Learning as Multi-Objective Optimization Ozan Sener, Vladlen Koltun

ECCV 2018 On Offline Evaluation of Vision-Based Driving Models Felipe Codevilla, Antonio M. Lopez, Vladlen Koltun, Alexey Dosovitskiy

CVPR 2018 Semi-Parametric Image Synthesis Xiaojuan Qi, Qifeng Chen, Jiaya Jia, Vladlen Koltun

ICLR 2018 Semi-Parametric Topological Memory for Navigation Nikolay Savinov, Alexey Dosovitskiy, Vladlen Koltun

ICLR 2018 TD or Not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox

CVPR 2018 Tangent Convolutions for Dense Prediction in 3D Maxim Tatarchenko, Jaesik Park, Vladlen Koltun, Qian-Yi Zhou

CVPR 2017 Accurate Optical Flow via Direct Cost Volume Processing Jia Xu, Rene Ranftl, Vladlen Koltun

CoRL 2017 CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun

ICCV 2017 Colored Point Cloud Registration Revisited Jaesik Park, Qian-Yi Zhou, Vladlen Koltun

CVPR 2017 Dilated Residual Networks Fisher Yu, Vladlen Koltun, Thomas Funkhouser

ICCV 2017 Fast Image Processing with Fully-Convolutional Networks Qifeng Chen, Jia Xu, Vladlen Koltun

ICCV 2017 Learning Compact Geometric Features Marc Khoury, Qian-Yi Zhou, Vladlen Koltun

ICLR 2017 Learning to Act by Predicting the Future Alexey Dosovitskiy, Vladlen Koltun

NeurIPS 2017 Learning to Inpaint for Image Compression Mohammad Haris Baig, Vladlen Koltun, Lorenzo Torresani

ICCV 2017 Photographic Image Synthesis with Cascaded Refinement Networks Qifeng Chen, Vladlen Koltun

ICCV 2017 Playing for Benchmarks Stephan R. Richter, Zeeshan Hayder, Vladlen Koltun

CVPR 2016 Dense Monocular Depth Estimation in Complex Dynamic Scenes Rene Ranftl, Vibhav Vineet, Qifeng Chen, Vladlen Koltun

ECCV 2016 Fast Global Registration Qian-Yi Zhou, Jaesik Park, Vladlen Koltun

CVPR 2016 Feature Space Optimization for Semantic Video Segmentation Abhijit Kundu, Vibhav Vineet, Vladlen Koltun

CVPR 2016 Full Flow: Optical Flow Estimation by Global Optimization over Regular Grids Qifeng Chen, Vladlen Koltun

ICLR 2016 Multi-Scale Context Aggregation by Dilated Convolutions Fisher Yu, Vladlen Koltun

ECCV 2016 Playing for Data: Ground Truth from Computer Games Stephan R. Richter, Vibhav Vineet, Stefan Roth, Vladlen Koltun

CVPR 2015 Depth Camera Tracking with Contour Cues Qian-Yi Zhou, Vladlen Koltun

CVPR 2015 Learning to Propose Objects Philipp Krahenbuhl, Vladlen Koltun

ICCV 2015 Robust Nonrigid Registration by Convex Optimization Qifeng Chen, Vladlen Koltun

CVPR 2015 Robust Reconstruction of Indoor Scenes Sungjoon Choi, Qian-Yi Zhou, Vladlen Koltun

CVPR 2014 Fast MRF Optimization with Application to Depth Reconstruction Qifeng Chen, Vladlen Koltun

ECCV 2014 Geodesic Object Proposals Philipp Krähenbühl, Vladlen Koltun

ICML 2014 Learning Complex Neural Network Policies with Trajectory Optimization Sergey Levine, Vladlen Koltun

CVPR 2014 Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras Qian-Yi Zhou, Vladlen Koltun

ICCV 2013 A Simple Model for Intrinsic Image Decomposition with Depth Cues Qifeng Chen, Vladlen Koltun

ICCV 2013 Elastic Fragments for Dense Scene Reconstruction Qian-Yi Zhou, Stephen Miller, Vladlen Koltun

ICML 2013 Guided Policy Search Sergey Levine, Vladlen Koltun

ICML 2013 Parameter Learning and Convergent Inference for Dense Random Fields Philipp Kraehenbuehl, Vladlen Koltun

NeurIPS 2013 Variational Policy Search via Trajectory Optimization Sergey Levine, Vladlen Koltun

ICML 2012 Continuous Inverse Optimal Control with Locally Optimal Examples Sergey Levine, Vladlen Koltun

ECCV 2012 Efficient Nonlocal Regularization for Optical Flow Philipp Krähenbühl, Vladlen Koltun

NeurIPS 2011 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krähenbühl, Vladlen Koltun

NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes Sergey Levine, Zoran Popovic, Vladlen Koltun

NeurIPS 2010 Feature Construction for Inverse Reinforcement Learning Sergey Levine, Zoran Popovic, Vladlen Koltun