Vladlen Koltun

Orcid: 0000-0003-0858-0970

Affiliations:
  • Apple Inc., USA
  • Intel Labs, Santa Clara, CA, USA (former)
  • Adobe Research, San Francisco, CA, USA (former)
  • Stanford University, Computer Science Department, CA, USA (former)
  • University of California, Berkeley, CA, USA (former)
  • Tel Aviv University, Israel (PhD 2002)


According to our database1, Vladlen Koltun authored at least 208 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

Legend:

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Bibliography

2024
Does Spatial Cognition Emerge in Frontier Models?
CoRR, 2024

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
CoRR, 2024

OpenBot-Fleet: A System for Collective Learning with Real Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Reaching the limit in autonomous racing: Optimal control versus reinforcement learning.
Sci. Robotics, September, 2023

An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation.
ACM Trans. Graph., August, 2023

Drinking From a Firehose: Continual Learning With Web-Scale Natural Language.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Enhancing Photorealism Enhancement.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Champion-level drone racing using deep reinforcement learning.
Nat., 2023

Online Continual Learning Without the Storage Constraint.
CoRR, 2023

Monocular Visual-Inertial Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Learning robust perceptive locomotion for quadrupedal robots in the wild.
Sci. Robotics, 2022

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving information retention in large scale online continual learning.
CoRR, 2022

Unsupervised Contrastive Domain Adaptation for Semantic Segmentation.
CoRR, 2022

Domain Generalization without Excess Empirical Risk.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scale-invariant Learning by Physics Inversion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Non-deep Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Language-driven Semantic Segmentation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Deep Equilibrium Solvers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Global Tracking Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Simple Multi-dataset Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dancing under the stars: video denoising in starlight.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Shape from Polarization for Complex Scenes in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021).
Dataset, October, 2021

Learning high-speed flight in the wild.
Sci. Robotics, 2021

High Speed and High Dynamic Range Video with an Event Camera.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Physical Gradients for Deep Learning.
CoRR, 2021

A Measure of Research Taste.
CoRR, 2021

Probabilistic two-stage detection.
CoRR, 2021

The h-index is no longer an effective correlate of scientific reputation.
CoRR, 2021

Geometry Processing with Neural Fields.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Habitat 2.0: Training Home Assistants to Rearrange their Habitat.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Differentiable Simulation of Soft Multi-body Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Drone Acrobatics (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

OpenBot: Turning Smartphones into Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Efficient Differentiable Simulation of Articulated Bodies.
Proceedings of the 38th International Conference on Machine Learning, 2021

Megaverse: Simulating Embodied Agents at One Million Experiences per Second.
Proceedings of the 38th International Conference on Machine Learning, 2021

Training Graph Neural Networks with 1000 Layers.
Proceedings of the 38th International Conference on Machine Learning, 2021

Stabilizing Equilibrium Models by Jacobian Regularization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Large Batch Simulation for Deep Reinforcement Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

Point Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Surface Reconstruction with Multiscale Convolutional Kernels.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Vision Transformers for Dense Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning to drive from a world on rails.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Stable View Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Geometric Perception.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Drone Racing: From Simulation to Reality With Domain Randomization.
IEEE Trans. Robotics, 2020

Learning quadrupedal locomotion over challenging terrain.
Sci. Robotics, 2020

Rearrangement: A Challenge for Embodied AI.
CoRR, 2020

NeRF++: Analyzing and Improving Neural Radiance Fields.
CoRR, 2020

Scaling Imitation Learning in Minecraft.
CoRR, 2020

Auto-decoding Graphs.
CoRR, 2020

Deep Drone Acrobatics.
Proceedings of the Robotics: Science and Systems XVI, 2020

Multiscale Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Differentiable Physics for Learning and Control.
Proceedings of the 37th International Conference on Machine Learning, 2020

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Lagrangian Fluid Simulation with Continuous Convolutions.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Guide Random Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Control PDEs with Differentiable Physics.
Proceedings of the 8th International Conference on Learning Representations, 2020

Tracking Objects as Points.
Proceedings of the Computer Vision - ECCV 2020, 2020

Free View Synthesis.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Low-Light Imaging with Quanta Image Sensors.
Proceedings of the Computer Vision - ECCV 2020, 2020

Exploring Self-Attention for Image Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

High-Dimensional Convolutional Networks for Geometric Pattern Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Global Registration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
A learned shape-adaptive subsurface scattering model.
ACM Trans. Graph., 2019

Does computer vision matter for action?
Sci. Robotics, 2019

Learning agile and dynamic motor skills for legged robots.
Sci. Robotics, 2019

Trajectory Optimization for Legged Robots With Slipping Motions.
IEEE Robotics Autom. Lett., 2019

Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer.
CoRR, 2019

The Limited Multi-Label Projection Layer.
CoRR, 2019

Benchmarking Classic and Learned Navigation in Complex 3D Environments.
CoRR, 2019

Learning agile and dynamic motor skills for legged robots.
CoRR, 2019

Differentiable Cloth Simulation for Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Speech Denoising with Deep Feature Losses.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing.
Proceedings of the International Conference on Robotics and Automation, 2019

Deep Layers as Stochastic Solvers.
Proceedings of the 7th International Conference on Learning Representations, 2019

Trellis Networks for Sequence Modeling.
Proceedings of the 7th International Conference on Learning Representations, 2019

Hiding Video in Audio via Reversible Generative Models.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Habitat: A Platform for Embodied AI Research.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Fully Convolutional Geometric Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Seeing Motion in the Dark.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Consensus Maximization Tree Search Revisited.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Zoom to Learn, Learn to Zoom.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

What Do Single-View 3D Reconstruction Networks Learn?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Connecting the Dots: Learning Representations for Active Monocular Depth Estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Events-To-Video: Bringing Modern Computer Vision to Event Cameras.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Acoustic Non-Line-Of-Sight Imaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning by Cheating.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Trajectory Optimization With Implicit Hard Contacts.
IEEE Robotics Autom. Lett., 2018

Direct Sparse Odometry.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Assessing Generalization in Deep Reinforcement Learning.
CoRR, 2018

On Evaluation of Embodied Navigation Agents.
CoRR, 2018

Deep Continuous Clustering.
CoRR, 2018

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.
CoRR, 2018

Open3D: A Modern Library for 3D Data Processing.
CoRR, 2018

Multi-Task Learning as Multi-Objective Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Driving Via Conditional Imitation Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Semi-parametric topological memory for navigation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Convolutional Sequence Modeling Revisited.
Proceedings of the 6th International Conference on Learning Representations, 2018

TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Fundamental Matrix Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

On Offline Evaluation of Vision-Based Driving Models.
Proceedings of the Computer Vision - ECCV 2018, 2018

Tangent Convolutions for Dense Prediction in 3D.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Semi-Parametric Image Synthesis.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Interactive Image Segmentation With Latent Diversity.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning to See in the Dark.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Driving Policy Transfer via Modularity and Abstraction.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Deep Drone Racing: Learning Agile Flight in Dynamic Environments.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Motion Perception in Reinforcement Learning with Dynamic Objects.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Tanks and temples: benchmarking large-scale scene reconstruction.
ACM Trans. Graph., 2017

Robust continuous clustering.
Proc. Natl. Acad. Sci. USA, 2017

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments.
CoRR, 2017

Learning to Inpaint for Image Compression.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to Act by Predicting the Future.
Proceedings of the 5th International Conference on Learning Representations, 2017

Playing for Benchmarks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Colored Point Cloud Registration Revisited.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Compact Geometric Features.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Fast Image Processing with Fully-Convolutional Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Photographic Image Synthesis with Cascaded Refinement Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Dilated Residual Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Accurate Optical Flow via Direct Cost Volume Processing.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

CARLA: An Open Urban Driving Simulator.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Multi-Scale Context Aggregation by Dilated Convolutions.
Proceedings of the 4th International Conference on Learning Representations, 2016

A Large Dataset of Object Scans.
CoRR, 2016

Fast Global Registration.
Proceedings of the Computer Vision - ECCV 2016, 2016

Playing for Data: Ground Truth from Computer Games.
Proceedings of the Computer Vision - ECCV 2016, 2016

Dense Monocular Depth Estimation in Complex Dynamic Scenes.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Feature Space Optimization for Semantic Video Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

Single-view reconstruction via joint analysis of image and shape collections.
ACM Trans. Graph., 2015

Robust Nonrigid Registration by Convex Optimization.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Depth camera tracking with contour cues.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning to propose objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Robust reconstruction of indoor scenes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Color map optimization for 3D reconstruction with consumer depth cameras.
ACM Trans. Graph., 2014

Learning Complex Neural Network Policies with Trajectory Optimization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Geodesic Object Proposals.
Proceedings of the Computer Vision - ECCV 2014, 2014

Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Fast MRF Optimization with Application to Depth Reconstruction.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Dense scene reconstruction with points of interest.
ACM Trans. Graph., 2013

Animating human lower limbs using contact-invariant optimization.
ACM Trans. Graph., 2013

Variational Policy Search via Trajectory Optimization.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Guided Policy Search.
Proceedings of the 30th International Conference on Machine Learning, 2013

Parameter Learning and Convergent Inference for Dense Random Fields.
Proceedings of the 30th International Conference on Machine Learning, 2013

Elastic Fragments for Dense Scene Reconstruction.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Simple Model for Intrinsic Image Decomposition with Depth Cues.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Optimizing locomotion controllers using biologically-based actuators and objectives.
ACM Trans. Graph., 2012

Continuous character control with low-dimensional embeddings.
ACM Trans. Graph., 2012

A probabilistic model for component-based shape synthesis.
ACM Trans. Graph., 2012

An algebraic model for parameterized shape editing.
ACM Trans. Graph., 2012

Interactive acquisition of residential floor plans.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Continuous Inverse Optimal Control with Locally Optimal Examples.
Proceedings of the 29th International Conference on Machine Learning, 2012

Efficient Nonlocal Regularization for Optical Flow.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Metropolis procedural modeling.
ACM Trans. Graph., 2011

Interactive furniture layout using interior design guidelines.
ACM Trans. Graph., 2011

Space-time planning with parameterized locomotion controllers.
ACM Trans. Graph., 2011

Joint shape segmentation with linear programming.
ACM Trans. Graph., 2011

Probabilistic reasoning for assembly-based 3D modeling.
ACM Trans. Graph., 2011

Pattern-aware shape deformation using sliding dockers.
ACM Trans. Graph., 2011

Nonlinear Inverse Reinforcement Learning with Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Computer-generated residential building layouts.
ACM Trans. Graph., 2010

Gesture controllers.
ACM Trans. Graph., 2010

Data-driven suggestions for creativity support in 3D modeling.
ACM Trans. Graph., 2010

Feature Construction for Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Kinetic stable Delaunay graphs.
Proceedings of the 26th ACM Symposium on Computational Geometry, 2010

2009
Exploratory modeling with collaborative design spaces.
ACM Trans. Graph., 2009

Real-time prosody-driven synthesis of body language.
ACM Trans. Graph., 2009

Special Section On The Thirty-Ninth Annual ACM Symposium On Theory Of Computing (STOC 2007).
SIAM J. Comput., 2009

On Overlays and Minimization Diagrams.
Discret. Comput. Geom., 2009

Smoothed analysis of probabilistic roadmaps.
Comput. Geom., 2009

2007
Approximately dominating representatives.
Theor. Comput. Sci., 2007

Special Section on Foundations of Computer Science.
SIAM J. Comput., 2007

2006
Efficient algorithms for bichromatic separability.
ACM Trans. Algorithms, 2006

On the Union of kappa-Round Objects in Three and Four Dimensions.
Discret. Comput. Geom., 2006

2005
Curve-Sensitive Cuttings.
SIAM J. Comput., 2005

Cutting Triangular Cycles of Lines in Space.
Discret. Comput. Geom., 2005

Incidences between Points and Circles in Three and Higher Dimensions.
Discret. Comput. Geom., 2005

Lines Avoiding Unit Balls in Three Dimensions.
Discret. Comput. Geom., 2005

Matching Polyhedral Terrains Using Overlays of Envelopes.
Algorithmica, 2005

Near-Optimal Pricing in Near-Linear Time.
Proceedings of the Algorithms and Data Structures, 9th International Workshop, 2005

Pianos are not flat: rigid motion planning in three dimensions.
Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005

Separability with Outliers.
Proceedings of the Algorithms and Computation, 16th International Symposium, 2005

Hardware-Assisted Natural Neighbor Interpolation.
Proceedings of the Seventh Workshop on Algorithm Engineering and Experiments and the Second Workshop on Analytic Algorithmics and Combinatorics, 2005

2004
Almost tight upper bounds for vertical decompositions in four dimensions.
J. ACM, 2004

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

Polyhedral Voronoi Diagrams of Polyhedra in Three Dimensions.
Discret. Comput. Geom., 2004

Sharp Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions.
Discret. Comput. Geom., 2004

On the union of kapa-round objects.
Proceedings of the 20th ACM Symposium on Computational Geometry, 2004

2003
The Partition Technique for Overlays of Envelopes.
SIAM J. Comput., 2003

3-Dimensional Euclidean Voronoi Diagrams of Lines with a Fixed Number of Orientations.
SIAM J. Comput., 2003

Segment Intersection Searching Problems in General Settings.
Discret. Comput. Geom., 2003

Efficient algorithms for shared camera control.
Proceedings of the 19th ACM Symposium on Computational Geometry, 2003

2002
On the overlay of envelopes in four dimensions.
Proceedings of the Thirteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2002

Three dimensional euclidean Voronoi diagrams of lines with a fixed number of orientations.
Proceedings of the 18th Annual Symposium on Computational Geometry, 2002

2001
Complexity Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions.
Proceedings of the Algorithms and Data Structures, 7th International Workshop, 2001

Hardware-Accelerated from-Region Visibility Using a Dual Ray Space.
Proceedings of the 12th Eurographics Workshop on Rendering Techniques, 2001

2000
Virtual Occluders: An Efficient Intermediate PVS Representation.
Proceedings of the Eurographics Workshop on Rendering Techniques 2000, 2000

Selecting Effective Occluders for Visibility Culling.
Proceedings of the 21st Annual Conference of the European Association for Computer Graphics, 2000


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