Selecting Effective Occluders for Visibility Culling. - Vladlen Koltun; Daniel Cohen-Or (Eurographics (Short Presentations), 2000)

Virtual Occluders: An Efficient Intermediate PVS Representation. - Vladlen Koltun; Yiorgos Chrysanthou; Daniel Cohen-Or (Rendering Techniques, 2000)

Hardware-Accelerated from-Region Visibility Using a Dual Ray Space. - Vladlen Koltun; Yiorgos Chrysanthou; Daniel Cohen-Or (Rendering Techniques, 2001)

Complexity Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions. - Vladlen Koltun (WADS, 2001)

Three dimensional euclidean Voronoi diagrams of lines with a fixed number of orientations. - Vladlen Koltun; Micha Sharir (SCG, 2002)

On the overlay of envelopes in four dimensions. - Vladlen Koltun; Micha Sharir (SODA, 2002)

Efficient algorithms for shared camera control. - Sariel Har-Peled; Vladlen Koltun; Dezhen Song; Kenneth Y. Goldberg (SCG, 2003)

Segment Intersection Searching Problems in General Settings. - Vladlen Koltun (Discret. Comput. Geom., 2003)

3-Dimensional Euclidean Voronoi Diagrams of Lines with a Fixed Number of Orientations. - Vladlen Koltun; Micha Sharir (SIAM J. Comput., 2003)

The Partition Technique for Overlays of Envelopes. - Vladlen Koltun; Micha Sharir (SIAM J. Comput., 2003)

On the union of kapa-round objects. - Boris Aronov; Alon Efrat; Vladlen Koltun; Micha Sharir (SCG, 2004)

Sharp Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions. - Vladlen Koltun (Discret. Comput. Geom., 2004)

Polyhedral Voronoi Diagrams of Polyhedra in Three Dimensions. - Vladlen Koltun; Micha Sharir (Discret. Comput. Geom., 2004)

Ready, Set, Go! The Voronoi diagram of moving points that start from a line. - Vladlen Koltun (Inf. Process. Lett., 2004)

Almost tight upper bounds for vertical decompositions in four dimensions. - Vladlen Koltun (J. ACM, 2004)

Hardware-Assisted Natural Neighbor Interpolation. - Quanfu Fan; Alon Efrat; Vladlen Koltun; Shankar Krishnan; Suresh Venkatasubramanian (ALENEX/ANALCO, 2005)

Separability with Outliers. - Sariel Har-Peled; Vladlen Koltun (ISAAC, 2005)

Pianos are not flat: rigid motion planning in three dimensions. - Vladlen Koltun (SODA, 2005)

Near-Optimal Pricing in Near-Linear Time. - Jason D. Hartline; Vladlen Koltun (WADS, 2005)

Matching Polyhedral Terrains Using Overlays of Envelopes. - Vladlen Koltun; Carola Wenk (Algorithmica, 2005)

Lines Avoiding Unit Balls in Three Dimensions. - Pankaj K. Agarwal; Boris Aronov; Vladlen Koltun; Micha Sharir (Discret. Comput. Geom., 2005)

Incidences between Points and Circles in Three and Higher Dimensions. - Boris Aronov; Vladlen Koltun; Micha Sharir (Discret. Comput. Geom., 2005)

Cutting Triangular Cycles of Lines in Space. - Boris Aronov; Vladlen Koltun; Micha Sharir (Discret. Comput. Geom., 2005)

Curve-Sensitive Cuttings. - Vladlen Koltun; Micha Sharir (SIAM J. Comput., 2005)

On the Union of kappa-Round Objects in Three and Four Dimensions. - Boris Aronov; Alon Efrat; Vladlen Koltun; Micha Sharir (Discret. Comput. Geom., 2006)

Efficient algorithms for bichromatic separability. - Pankaj K. Agarwal; Boris Aronov; Vladlen Koltun (ACM Trans. Algorithms, 2006)

Special Section on Foundations of Computer Science. - Dimitris Achlioptas; Vladlen Koltun (SIAM J. Comput., 2007)

Approximately dominating representatives. - Vladlen Koltun; Christos H. Papadimitriou (Theor. Comput. Sci., 2007)

Smoothed analysis of probabilistic roadmaps. - Siddhartha Chaudhuri; Vladlen Koltun (Comput. Geom., 2009)

On Overlays and Minimization Diagrams. - Vladlen Koltun; Micha Sharir (Discret. Comput. Geom., 2009)

Special Section On The Thirty-Ninth Annual ACM Symposium On Theory Of Computing (STOC 2007). - Eric Allender; Vladlen Koltun; Maxim Sviridenko (SIAM J. Comput., 2009)

Real-time prosody-driven synthesis of body language. - Sergey Levine; Christian Theobalt; Vladlen Koltun (ACM Trans. Graph., 2009)

Exploratory modeling with collaborative design spaces. - Jerry O. Talton; Daniel Gibson; Lingfeng Yang; Pat Hanrahan; Vladlen Koltun (ACM Trans. Graph., 2009)

Kinetic stable Delaunay graphs. - Pankaj K. Agarwal; Jie Gao 001; Leonidas J. Guibas; Haim Kaplan; Vladlen Koltun; Natan Rubin; Micha Sharir (SCG, 2010)

Feature Construction for Inverse Reinforcement Learning. - Sergey Levine; Zoran Popovic; Vladlen Koltun (NIPS, 2010)

Data-driven suggestions for creativity support in 3D modeling. - Siddhartha Chaudhuri; Vladlen Koltun (ACM Trans. Graph., 2010)

Gesture controllers. - Sergey Levine; Philipp Krähenbühl; Sebastian Thrun; Vladlen Koltun (ACM Trans. Graph., 2010)

Computer-generated residential building layouts. - Paul Merrell; Eric Schkufza; Vladlen Koltun (ACM Trans. Graph., 2010)

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials. - Philipp Krähenbühl; Vladlen Koltun (NIPS, 2011)

Nonlinear Inverse Reinforcement Learning with Gaussian Processes. - Sergey Levine; Zoran Popovic; Vladlen Koltun (NIPS, 2011)

Pattern-aware shape deformation using sliding dockers. - Martin Bokeloh; Michael Wand 001; Vladlen Koltun; Hans-Peter Seidel (ACM Trans. Graph., 2011)

Probabilistic reasoning for assembly-based 3D modeling. - Siddhartha Chaudhuri; Evangelos Kalogerakis; Leonidas J. Guibas; Vladlen Koltun (ACM Trans. Graph., 2011)

Joint shape segmentation with linear programming. - Qi-Xing Huang; Vladlen Koltun; Leonidas J. Guibas (ACM Trans. Graph., 2011)

Space-time planning with parameterized locomotion controllers. - Sergey Levine; Yongjoon Lee; Vladlen Koltun; Zoran Popovic (ACM Trans. Graph., 2011)

Interactive furniture layout using interior design guidelines. - Paul Merrell; Eric Schkufza; Zeyang Li; Maneesh Agrawala; Vladlen Koltun (ACM Trans. Graph., 2011)

Metropolis procedural modeling. - Jerry O. Talton; Yu Lou 003; Steve Lesser; Jared Duke; Radomír Mech; Vladlen Koltun (ACM Trans. Graph., 2011)

Efficient Nonlocal Regularization for Optical Flow. - Philipp Krähenbühl; Vladlen Koltun (ECCV (1), 2012)

Continuous Inverse Optimal Control with Locally Optimal Examples. - Sergey Levine; Vladlen Koltun (ICML, 2012)

Interactive acquisition of residential floor plans. - Young Min Kim 001; Jennifer Dolson; Michael Sokolsky; Vladlen Koltun; Sebastian Thrun (ICRA, 2012)

An algebraic model for parameterized shape editing. - Martin Bokeloh; Michael Wand 001; Hans-Peter Seidel; Vladlen Koltun (ACM Trans. Graph., 2012)

A probabilistic model for component-based shape synthesis. - Evangelos Kalogerakis; Siddhartha Chaudhuri; Daphne Koller; Vladlen Koltun (ACM Trans. Graph., 2012)

Continuous character control with low-dimensional embeddings. - Sergey Levine; Jack M. Wang; Alexis Haraux; Zoran Popovic; Vladlen Koltun (ACM Trans. Graph., 2012)

Optimizing locomotion controllers using biologically-based actuators and objectives. - Jack M. Wang; Samuel R. Hamner; Scott L. Delp; Vladlen Koltun (ACM Trans. Graph., 2012)

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 (ICCV, 2013)

Parameter Learning and Convergent Inference for Dense Random Fields. - Philipp Krähenbühl; Vladlen Koltun (ICML (3), 2013)

Guided Policy Search. - Sergey Levine; Vladlen Koltun (ICML (3), 2013)

Variational Policy Search via Trajectory Optimization. - Sergey Levine; Vladlen Koltun (NIPS, 2013)

Animating human lower limbs using contact-invariant optimization. - Igor Mordatch; Jack M. Wang; Emanuel Todorov; Vladlen Koltun (ACM Trans. Graph., 2013)

Dense scene reconstruction with points of interest. - Qian-Yi Zhou; Vladlen Koltun (ACM Trans. Graph., 2013)

Fast MRF Optimization with Application to Depth Reconstruction. - Qifeng Chen; Vladlen Koltun (CVPR, 2014)

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

Geodesic Object Proposals. - Philipp Krähenbühl; Vladlen Koltun (ECCV (5), 2014)

Learning Complex Neural Network Policies with Trajectory Optimization. - Sergey Levine; Vladlen Koltun (ICML, 2014)

Color map optimization for 3D reconstruction with consumer depth cameras. - Qian-Yi Zhou; Vladlen Koltun (ACM Trans. Graph., 2014)

Robust reconstruction of indoor scenes. - Sungjoon Choi; Qian-Yi Zhou; Vladlen Koltun (CVPR, 2015)

Learning to propose objects. - Philipp Krähenbühl; Vladlen Koltun (CVPR, 2015)

Depth camera tracking with contour cues. - Qian-Yi Zhou; Vladlen Koltun (CVPR, 2015)

Robust Nonrigid Registration by Convex Optimization. - Qifeng Chen; Vladlen Koltun (ICCV, 2015)

Single-view reconstruction via joint analysis of image and shape collections. - Qixing Huang; Hai Wang; Vladlen Koltun (ACM Trans. Graph., 2015)

Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA). - Eftychios Sifakis; Vladlen Koltun (IEEE Trans. Vis. Comput. Graph., 2015)

Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids. - Qifeng Chen; Vladlen Koltun (CVPR, 2016)

Feature Space Optimization for Semantic Video Segmentation. - Abhijit Kundu; Vibhav Vineet; Vladlen Koltun (CVPR, 2016)

Dense Monocular Depth Estimation in Complex Dynamic Scenes. - René Ranftl; Vibhav Vineet; Qifeng Chen; Vladlen Koltun (CVPR, 2016)

Playing for Data: Ground Truth from Computer Games. - Stephan R. Richter; Vibhav Vineet; Stefan Roth 001; Vladlen Koltun (ECCV (2), 2016)

Fast Global Registration. - Qian-Yi Zhou; Jaesik Park; Vladlen Koltun (ECCV (2), 2016)

A Large Dataset of Object Scans. - Sungjoon Choi; Qian-Yi Zhou; Stephen Miller; Vladlen Koltun (CoRR, 2016)

Multi-Scale Context Aggregation by Dilated Convolutions. - Fisher Yu 001; Vladlen Koltun (ICLR (Poster), 2016)

CARLA: An Open Urban Driving Simulator. - Alexey Dosovitskiy; Germán Ros; Felipe Codevilla; Antonio M. López 001; Vladlen Koltun (CoRL, 2017)

Accurate Optical Flow via Direct Cost Volume Processing. - Jia Xu; René Ranftl; Vladlen Koltun (CVPR, 2017)

Dilated Residual Networks. - Fisher Yu 001; Vladlen Koltun; Thomas A. Funkhouser (CVPR, 2017)

Photographic Image Synthesis with Cascaded Refinement Networks. - Qifeng Chen; Vladlen Koltun (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 (ICCV, 2017)

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

Playing for Benchmarks. - Stephan R. Richter; Zeeshan Hayder; Vladlen Koltun (ICCV, 2017)

Learning to Act by Predicting the Future. - Alexey Dosovitskiy; Vladlen Koltun (ICLR, 2017)

Learning to Inpaint for Image Compression. - Mohammad Haris Baig; Vladlen Koltun; Lorenzo Torresani (NIPS, 2017)

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. - Manolis Savva; Angel X. Chang; Alexey Dosovitskiy; Thomas A. Funkhouser; Vladlen Koltun (CoRR, 2017)

Robust continuous clustering. - Sohil Atul Shah; Vladlen Koltun (Proc. Natl. Acad. Sci. USA, 2017)

Tanks and temples: benchmarking large-scale scene reconstruction. - Arno Knapitsch; Jaesik Park; Qian-Yi Zhou; Vladlen Koltun (ACM Trans. Graph., 2017)

Motion Perception in Reinforcement Learning with Dynamic Objects. - Artemij Amiranashvili; Alexey Dosovitskiy; Vladlen Koltun; Thomas Brox (CoRL, 2018)

Deep Drone Racing: Learning Agile Flight in Dynamic Environments. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (CoRL, 2018)

Driving Policy Transfer via Modularity and Abstraction. - Matthias Müller 011; Alexey Dosovitskiy; Bernard Ghanem; Vladlen Koltun (CoRL, 2018)

Learning to See in the Dark. - Chen Chen 003; Qifeng Chen; Jia Xu; Vladlen Koltun (CVPR, 2018)

Interactive Image Segmentation With Latent Diversity. - Zhuwen Li; Qifeng Chen; Vladlen Koltun (CVPR, 2018)

Semi-Parametric Image Synthesis. - Xiaojuan Qi 001; Qifeng Chen; Jiaya Jia; Vladlen Koltun (CVPR, 2018)

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

On Offline Evaluation of Vision-Based Driving Models. - Felipe Codevilla; Antonio M. López 001; Vladlen Koltun; Alexey Dosovitskiy (ECCV (15), 2018)

Deep Fundamental Matrix Estimation. - René Ranftl; Vladlen Koltun (ECCV (1), 2018)

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning. - Artemij Amiranashvili; Alexey Dosovitskiy; Vladlen Koltun; Thomas Brox (ICLR (Poster), 2018)

Convolutional Sequence Modeling Revisited. - Shaojie Bai; J. Zico Kolter; Vladlen Koltun (ICLR (Workshop), 2018)

Semi-parametric topological memory for navigation. - Nikolay Savinov; Alexey Dosovitskiy; Vladlen Koltun (ICLR (Poster), 2018)

End-to-End Driving Via Conditional Imitation Learning. - Felipe Codevilla; Matthias Müller 011; Antonio M. López 001; Vladlen Koltun; Alexey Dosovitskiy (ICRA, 2018)

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search. - Zhuwen Li; Qifeng Chen; Vladlen Koltun (NeurIPS, 2018)

Multi-Task Learning as Multi-Objective Optimization. - Ozan Sener; Vladlen Koltun (NeurIPS, 2018)

Open3D: A Modern Library for 3D Data Processing. - Qian-Yi Zhou; Jaesik Park; Vladlen Koltun (CoRR, 2018)

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. - Shaojie Bai; J. Zico Kolter; Vladlen Koltun (CoRR, 2018)

Deep Continuous Clustering. - Sohil Atul Shah; Vladlen Koltun (CoRR, 2018)

On Evaluation of Embodied Navigation Agents. - Peter Anderson 001; Angel X. Chang; Devendra Singh Chaplot; Alexey Dosovitskiy; Saurabh Gupta 001; Vladlen Koltun; Jana Kosecka; Jitendra Malik; Roozbeh Mottaghi; Manolis Savva; Amir R. Zamir (CoRR, 2018)

Assessing Generalization in Deep Reinforcement Learning. - Charles Packer; Katelyn Gao; Jernej Kos; Philipp Krähenbühl; Vladlen Koltun; Dawn Song (CoRR, 2018)

Direct Sparse Odometry. - Jakob J. Engel; Vladlen Koltun; Daniel Cremers (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Trajectory Optimization With Implicit Hard Contacts. - Jan Carius; René Ranftl; Vladlen Koltun; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2018)

Learning by Cheating. - Dian Chen 001; Brady Zhou; Vladlen Koltun; Philipp Krähenbühl (CoRL, 2019)

Acoustic Non-Line-Of-Sight Imaging. - David B. Lindell; Gordon Wetzstein; Vladlen Koltun (CVPR, 2019)

Events-To-Video: Bringing Modern Computer Vision to Event Cameras. - Henri Rebecq; René Ranftl; Vladlen Koltun; Davide Scaramuzza 001 (CVPR, 2019)

Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. - Gernot Riegler; Yiyi Liao; Simon Donné; Vladlen Koltun; Andreas Geiger 001 (CVPR, 2019)

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

Zoom to Learn, Learn to Zoom. - Xuaner Zhang; Qifeng Chen; Ren Ng; Vladlen Koltun (CVPR, 2019)

Consensus Maximization Tree Search Revisited. - Zhipeng Cai 003; Tat-Jun Chin; Vladlen Koltun (ICCV, 2019)

Seeing Motion in the Dark. - Chen Chen 003; Qifeng Chen; Minh N. Do; Vladlen Koltun (ICCV, 2019)

Fully Convolutional Geometric Features. - Christopher B. Choy; Jaesik Park; Vladlen Koltun (ICCV, 2019)

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

Hiding Video in Audio via Reversible Generative Models. - Hyukryul Yang; Hao Ouyang; Vladlen Koltun; Qifeng Chen (ICCV, 2019)

Trellis Networks for Sequence Modeling. - Shaojie Bai; J. Zico Kolter; Vladlen Koltun (ICLR (Poster), 2019)

Deep Layers as Stochastic Solvers. - Adel Bibi; Bernard Ghanem; Vladlen Koltun; René Ranftl (ICLR (Poster), 2019)

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing. - Elia Kaufmann; Mathias Gehrig; Philipp Foehn; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (ICRA, 2019)

Speech Denoising with Deep Feature Losses. - François G. Germain; Qifeng Chen; Vladlen Koltun (INTERSPEECH, 2019)

Deep Equilibrium Models. - Shaojie Bai; J. Zico Kolter; Vladlen Koltun (NeurIPS, 2019)

Differentiable Cloth Simulation for Inverse Problems. - Junbang Liang; Ming C. Lin; Vladlen Koltun (NeurIPS, 2019)

Learning agile and dynamic motor skills for legged robots. - Jemin Hwangbo; Joonho Lee; Alexey Dosovitskiy; Dario Bellicoso; Vassilios Tsounis; Vladlen Koltun; Marco Hutter 001 (CoRR, 2019)

Benchmarking Classic and Learned Navigation in Complex 3D Environments. - Dmytro Mishkin; Alexey Dosovitskiy; Vladlen Koltun (CoRR, 2019)

The Limited Multi-Label Projection Layer. - Brandon Amos; Vladlen Koltun; J. Zico Kolter (CoRR, 2019)

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. - Katrin Lasinger; René Ranftl; Konrad Schindler; Vladlen Koltun (CoRR, 2019)

Trajectory Optimization for Legged Robots With Slipping Motions. - Jan Carius; René Ranftl; Vladlen Koltun; Marco Hutter 001 (IEEE Robotics Autom. Lett., 2019)

Learning agile and dynamic motor skills for legged robots. - Joonho Lee; Alexey Dosovitskiy; Dario Bellicoso; Vassilios Tsounis; Vladlen Koltun; Marco Hutter 001 (Sci. Robotics, 2019)

Does computer vision matter for action? - Brady Zhou; Philipp Krähenbühl; Vladlen Koltun (Sci. Robotics, 2019)

A learned shape-adaptive subsurface scattering model. - Delio Vicini; Vladlen Koltun; Wenzel Jakob (ACM Trans. Graph., 2019)

Deep Global Registration. - Christopher B. Choy; Wei Dong; Vladlen Koltun (CVPR, 2020)

High-Dimensional Convolutional Networks for Geometric Pattern Recognition. - Christopher B. Choy; Junha Lee; René Ranftl; Jaesik Park; Vladlen Koltun (CVPR, 2020)

On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner. - Carolin Schmitt; Simon Donné; Gernot Riegler; Vladlen Koltun; Andreas Geiger 001 (CVPR, 2020)

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

Dynamic Low-Light Imaging with Quanta Image Sensors. - Yiheng Chi; Abhiram Gnanasambandam; Vladlen Koltun; Stanley H. Chan (ECCV (21), 2020)

Free View Synthesis. - Gernot Riegler; Vladlen Koltun (ECCV (19), 2020)

Tracking Objects as Points. - Xingyi Zhou; Vladlen Koltun; Philipp Krähenbühl (ECCV (4), 2020)

Learning to Control PDEs with Differentiable Physics. - Philipp Holl; Nils Thuerey; Vladlen Koltun (ICLR, 2020)

Learning to Guide Random Search. - Ozan Sener; Vladlen Koltun (ICLR, 2020)

Lagrangian Fluid Simulation with Continuous Convolutions. - Benjamin Ummenhofer; Lukas Prantl; Nils Thuerey; Vladlen Koltun (ICLR, 2020)

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

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

Multiscale Deep Equilibrium Models. - Shaojie Bai; Vladlen Koltun; J. Zico Kolter (NeurIPS, 2020)

Deep Drone Acrobatics. - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Robotics: Science and Systems, 2020)

Auto-decoding Graphs. - Sohil Atul Shah; Vladlen Koltun (CoRR, 2020)

Scaling Imitation Learning in Minecraft. - Artemij Amiranashvili; Nicolai Dorka; Wolfram Burgard; Vladlen Koltun; Thomas Brox (CoRR, 2020)

NeRF++: Analyzing and Improving Neural Radiance Fields. - Kai Zhang 045; Gernot Riegler; Noah Snavely; Vladlen Koltun (CoRR, 2020)

Rearrangement: A Challenge for Embodied AI. - Dhruv Batra; Angel X. Chang; Sonia Chernova; Andrew J. Davison; Jia Deng 001; Vladlen Koltun; Sergey Levine; Jitendra Malik; Igor Mordatch; Roozbeh Mottaghi; Manolis Savva; Hao Su 001 (CoRR, 2020)

Learning quadrupedal locomotion over challenging terrain. - Joonho Lee; Jemin Hwangbo; Lorenz Wellhausen; Vladlen Koltun; Marco Hutter 001 (Sci. Robotics, 2020)

Deep Drone Racing: From Simulation to Reality With Domain Randomization. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Alexey Dosovitskiy; Vladlen Koltun; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2020)

Self-Supervised Geometric Perception. - Heng Yang 002; Wei Dong; Luca Carlone; Vladlen Koltun (CVPR, 2021)

Stable View Synthesis. - Gernot Riegler; Vladlen Koltun (CVPR, 2021)

Learning to drive from a world on rails. - Dian Chen 001; Vladlen Koltun; Philipp Krähenbühl (ICCV, 2021)

Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. - Zhipeng Cai 003; Ozan Sener; Vladlen Koltun (ICCV, 2021)

Vision Transformers for Dense Prediction. - René Ranftl; Alexey Bochkovskiy; Vladlen Koltun (ICCV, 2021)

Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. - Benjamin Ummenhofer; Vladlen Koltun (ICCV, 2021)

Point Transformer. - Hengshuang Zhao; Li Jiang 009; Jiaya Jia; Philip H. S. Torr; Vladlen Koltun (ICCV, 2021)

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

Stabilizing Equilibrium Models by Jacobian Regularization. - Shaojie Bai; Vladlen Koltun; J. Zico Kolter (ICML, 2021)

Training Graph Neural Networks with 1000 Layers. - Guohao Li 001; Matthias Müller 011; Bernard Ghanem; Vladlen Koltun (ICML, 2021)

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

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

OpenBot: Turning Smartphones into Robots. - Matthias Müller 011; Vladlen Koltun (ICRA, 2021)

Deep Drone Acrobatics (Extended Abstract). - Elia Kaufmann; Antonio Loquercio; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (IJCAI, 2021)

Differentiable Simulation of Soft Multi-body Systems. - Yi-Ling Qiao; Junbang Liang; Vladlen Koltun; Ming C. Lin (NeurIPS, 2021)

Habitat 2.0: Training Home Assistants to Rearrange their Habitat. - 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; et al. (NeurIPS, 2021)

Geometry Processing with Neural Fields. - Guandao Yang; Serge J. Belongie; Bharath Hariharan; Vladlen Koltun (NeurIPS, 2021)

The h-index is no longer an effective correlate of scientific reputation. - Vladlen Koltun; David Hafner (CoRR, 2021)

Probabilistic two-stage detection. - Xingyi Zhou; Vladlen Koltun; Philipp Krähenbühl (CoRR, 2021)

A Measure of Research Taste. - Vladlen Koltun; David Hafner (CoRR, 2021)

Physical Gradients for Deep Learning. - Philipp Holl; Vladlen Koltun; Nils Thuerey (CoRR, 2021)

High Speed and High Dynamic Range Video with an Event Camera. - Henri Rebecq; René Ranftl; Vladlen Koltun; Davide Scaramuzza 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Learning high-speed flight in the wild. - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2021)

Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). - Antonio Loquercio; Elia Kaufmann; René Ranftl; Matthias Mueller 001; Vladlen Koltun; Davide Scaramuzza 001 (Zenodo, 2021)

Shape from Polarization for Complex Scenes in the Wild. - Chenyang Lei; Chenyang Qi; Jiaxin Xie; Na Fan 002; Vladlen Koltun; Qifeng Chen (CVPR, 2022)

Dancing under the stars: video denoising in starlight. - Kristina Monakhova; Stephan R. Richter; Laura Waller; Vladlen Koltun (CVPR, 2022)

Simple Multi-dataset Detection. - Xingyi Zhou; Vladlen Koltun; Philipp Krähenbühl (CVPR, 2022)

Global Tracking Transformers. - Xingyi Zhou; Tianwei Yin; Vladlen Koltun; Philipp Krähenbühl (CVPR, 2022)

Neural Deep Equilibrium Solvers. - Shaojie Bai; Vladlen Koltun; J. Zico Kolter (ICLR, 2022)

Language-driven Semantic Segmentation. - Boyi Li; Kilian Q. Weinberger; Serge J. Belongie; Vladlen Koltun; René Ranftl (ICLR, 2022)

Non-deep Networks. - Ankit Goyal 001; Alexey Bochkovskiy; Jia Deng 001; Vladlen Koltun (NeurIPS, 2022)

Scale-invariant Learning by Physics Inversion. - Philipp Holl; Vladlen Koltun; Nils Thuerey (NeurIPS, 2022)

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics. - Lukas Prantl; Benjamin Ummenhofer; Vladlen Koltun; Nils Thuerey (NeurIPS, 2022)

Domain Generalization without Excess Empirical Risk. - Ozan Sener; Vladlen Koltun (NeurIPS, 2022)

Unsupervised Contrastive Domain Adaptation for Semantic Segmentation. - Feihu Zhang; Vladlen Koltun; Philip H. S. Torr; René Ranftl; Stephan R. Richter (CoRR, 2022)

Improving information retention in large scale online continual learning. - Zhipeng Cai 003; Vladlen Koltun; Ozan Sener (CoRR, 2022)

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. - René Ranftl; Katrin Lasinger; David Hafner; Konrad Schindler; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning robust perceptive locomotion for quadrupedal robots in the wild. - Takahiro Miki; Joonho Lee; Jemin Hwangbo; Lorenz Wellhausen; Vladlen Koltun; Marco Hutter 001 (Sci. Robotics, 2022)

Monocular Visual-Inertial Depth Estimation. - Diana Wofk; René Ranftl; Matthias Müller 011; Vladlen Koltun (ICRA, 2023)

Online Continual Learning Without the Storage Constraint. - Ameya Prabhu; Zhipeng Cai 003; Puneet K. Dokania; Philip H. S. Torr; Vladlen Koltun; Ozan Sener (CoRR, 2023)

Champion-level drone racing using deep reinforcement learning. - Elia Kaufmann; Leonard Bauersfeld; Antonio Loquercio; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Nat., 2023)

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. - John Lambert; Zhuang Liu 003; Ozan Sener; James Hays; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhancing Photorealism Enhancement. - Stephan R. Richter; Hassan Abu Alhaija; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception. - Wei Dong; Yixing Lao; Michael Kaess; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. - Hexiang Hu; Ozan Sener; Fei Sha; Vladlen Koltun (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation. - Brennan Shacklett; Luc Guy Rosenzweig; Zhiqiang Xie; Bidipta Sarkar; Andrew Szot; Erik Wijmans; Vladlen Koltun; Dhruv Batra; Kayvon Fatahalian (ACM Trans. Graph., 2023)

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. - Yunlong Song; Angel Romero; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2023)

OpenBot-Fleet: A System for Collective Learning with Real Robots. - Matthias Müller 011; Samarth Brahmbhatt; Ankur Deka; Quentin Leboutet; David Hafner; Vladlen Koltun (ICRA, 2024)

Conformation Generation using Transformer Flows. - Sohil Atul Shah; Vladlen Koltun (CoRR, 2024)

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second. - Alexey Bochkovskiy; Amaël Delaunoy; Hugo Germain; Marcel Santos; Yichao Zhou; Stephan R. Richter; Vladlen Koltun (ICLR, 2025)

CoMotion: Concurrent Multi-person 3D Motion. - Alejandro Newell; Peiyun Hu; Lahav Lipson; Stephan R. Richter; Vladlen Koltun (ICLR, 2025)

Does Spatial Cognition Emerge in Frontier Models? - Santhosh Kumar Ramakrishnan; Erik Wijmans; Philipp Krähenbühl; Vladlen Koltun (ICLR, 2025)

Cut Your Losses in Large-Vocabulary Language Models. - Erik Wijmans; Brody Huval; Alexander Hertzberg; Vladlen Koltun; Philipp Krähenbühl (ICLR, 2025)

Reinforcement Learning for Long-Horizon Interactive LLM Agents. - Kevin Chen; Marco F. Cusumano-Towner; Brody Huval; Aleksei Petrenko; Jackson Hamburger; Vladlen Koltun; Philipp Krähenbühl (CoRR, 2025)

Robust Autonomy Emerges from Self-Play. - Marco F. Cusumano-Towner; David Hafner; Alexander Hertzberg; Brody Huval; Aleksei Petrenko; Eugene Vinitsky; Erik Wijmans; Taylor Killian; Stuart Bowers; Ozan Sener; Philipp Krähenbühl; Vladlen Koltun (CoRR, 2025)