Vladlen Koltun | Academic Influence

Vladlen Koltun's AcademicInfluence.com Rankings

Vladlen Koltun

Computer Science

#2603

World Rank

#2722

Historical Rank

Artificial Intelligence

#492

World Rank

#501

Historical Rank

Database

#666

World Rank

#698

Historical Rank

computer-science Degrees

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Computer Science

Vladlen Koltun's Degrees

PhD Computer Science Stanford University
Masters Computer Science Stanford University
Bachelors Computer Science Stanford University

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Why Is Vladlen Koltun Influential?

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According to Wikipedia, Vladlen Koltun is an Israeli-American computer scientist and intelligent systemss researcher. He currently serves as distinguished scientist at Apple Inc. His main areas of research are artificial intelligence, computer vision, machine learning, and pattern recognition. He also made a significant contribution to robotics and autonomous driving.

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Vladlen Koltun's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Multi-Scale Context Aggregation by Dilated Convolutions (2015) (6690)
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials (2011) (2979)
CARLA: An Open Urban Driving Simulator (2017) (2694)
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling (2018) (2561)
Direct Sparse Odometry (2016) (1790)
Playing for Data: Ground Truth from Computer Games (2016) (1423)
Dilated Residual Networks (2017) (1219)
Photographic Image Synthesis with Cascaded Refinement Networks (2017) (845)
Open3D: A Modern Library for 3D Data Processing (2018) (832)
Habitat: A Platform for Embodied AI Research (2019) (768)
Learning to See in the Dark (2018) (722)
End-to-End Driving Via Conditional Imitation Learning (2017) (719)
Guided Policy Search (2013) (717)
Learning agile and dynamic motor skills for legged robots (2019) (713)
Fast Global Registration (2016) (565)
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer (2019) (564)
Multi-Task Learning as Multi-Objective Optimization (2018) (561)
Tracking Objects as Points (2020) (525)
Vision Transformers for Dense Prediction (2021) (513)
On Evaluation of Embodied Navigation Agents (2018) (487)
Robust reconstruction of indoor scenes (2015) (481)
Exploring Self-Attention for Image Recognition (2020) (452)
Learning quadrupedal locomotion over challenging terrain (2020) (430)
NeRF++: Analyzing and Improving Neural Radiance Fields (2020) (397)
Tangent Convolutions for Dense Prediction in 3D (2018) (396)
Geodesic Object Proposals (2014) (390)
Deep Equilibrium Models (2019) (379)
A probabilistic model for component-based shape synthesis (2012) (358)
Playing for Benchmarks (2017) (351)
Interactive furniture layout using interior design guidelines (2011) (339)
Nonlinear Inverse Reinforcement Learning with Gaussian Processes (2011) (327)
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search (2018) (307)
Fully Convolutional Geometric Features (2019) (294)
Continuous Inverse Optimal Control with Locally Optimal Examples (2012) (290)
Computer-generated residential building layouts (2010) (287)
Semi-parametric Topological Memory for Navigation (2018) (273)
Fast Image Processing with Fully-Convolutional Networks (2017) (269)
Learning to Act by Predicting the Future (2016) (265)
Optimizing locomotion controllers using biologically-based actuators and objectives (2012) (263)
What Do Single-View 3D Reconstruction Networks Learn? (2019) (261)
Probabilistic reasoning for assembly-based 3D modeling (2011) (260)
Metropolis procedural modeling (2011) (242)
Learning by Cheating (2019) (241)
Tanks and temples (2017) (231)
Deep Global Registration (2020) (230)
High Speed and High Dynamic Range Video with an Event Camera (2019) (228)
Pattern-aware Deformation Using Sliding Dockers (2011) (228)
Dense scene reconstruction with points of interest (2013) (224)
Color map optimization for 3D reconstruction with consumer depth cameras (2014) (220)
MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments (2017) (214)
Parameter Learning and Convergent Inference for Dense Random Fields (2013) (211)
Colored Point Cloud Registration Revisited (2017) (205)
Accurate Optical Flow via Direct Cost Volume Processing (2017) (199)
Events-To-Video: Bringing Modern Computer Vision to Event Cameras (2019) (197)
Free View Synthesis (2020) (195)
Joint shape segmentation with linear programming (2011) (193)
A Simple Model for Intrinsic Image Decomposition with Depth Cues (2013) (186)
A Large Dataset of Object Scans (2016) (181)
Continuous character control with low-dimensional embeddings (2012) (180)
Feature Space Optimization for Semantic Video Segmentation (2016) (180)
Driving Policy Transfer via Modularity and Abstraction (2018) (179)
Data-driven suggestions for creativity support in 3D modeling (2010) (175)
Habitat 2.0: Training Home Assistants to Rearrange their Habitat (2021) (167)
Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids (2016) (165)
Assessing Generalization in Deep Reinforcement Learning (2018) (161)
Dense Monocular Depth Estimation in Complex Dynamic Scenes (2016) (157)
Learning Compact Geometric Features (2017) (155)
Learning robust perceptive locomotion for quadrupedal robots in the wild (2022) (154)
Real-time prosody-driven synthesis of body language (2009) (152)
Single-view reconstruction via joint analysis of image and shape collections (2015) (149)
Zoom to Learn, Learn to Zoom (2019) (148)
Robust continuous clustering (2017) (145)
Gesture controllers (2010) (144)
Semi-Parametric Image Synthesis (2018) (139)
Deep Fundamental Matrix Estimation (2018) (135)
Interactive Image Segmentation with Latent Diversity (2018) (132)
Learning Complex Neural Network Policies with Trajectory Optimization (2014) (132)
Deep Drone Racing: From Simulation to Reality With Domain Randomization (2019) (132)
Stable View Synthesis (2020) (130)
Speech Denoising with Deep Feature Losses (2018) (130)
Almost tight upper bounds for vertical decompositions in four dimensions (2001) (125)
Exploratory modeling with collaborative design spaces (2009) (120)
Approximately dominating representatives (2005) (118)
Multiscale Deep Equilibrium Models (2020) (117)
Variational Policy Search via Trajectory Optimization (2013) (115)
Deep Drone Racing: Learning Agile Flight in Dynamic Environments (2018) (114)
Differentiable Cloth Simulation for Inverse Problems (2019) (113)
Lagrangian Fluid Simulation with Continuous Convolutions (2020) (112)
Robust Nonrigid Registration by Convex Optimization (2015) (110)
Feature Construction for Inverse Reinforcement Learning (2010) (110)
Learning to Control PDEs with Differentiable Physics (2020) (108)
Seeing Motion in the Dark (2019) (108)
Trellis Networks for Sequence Modeling (2018) (107)
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (2020) (107)
Elastic Fragments for Dense Scene Reconstruction (2013) (107)
Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing (2018) (104)
Language-driven Semantic Segmentation (2022) (102)
Rearrangement: A Challenge for Embodied AI (2020) (99)
Training Graph Neural Networks with 1000 Layers (2021) (98)
Probabilistic two-stage detection (2021) (98)
Learning to propose objects (2015) (91)
An algebraic model for parameterized shape editing (2012) (84)
Deep Drone Acrobatics (2020) (83)
Animating human lower limbs using contact-invariant optimization (2013) (80)
Learning high-speed flight in the wild (2021) (76)
Does computer vision matter for action? (2019) (75)
Near-Optimal Pricing in Near-Linear Time (2005) (72)
Virtual Occluders: An Efficient Intermediate PVS Representation (2000) (70)
Efficient Nonlocal Regularization for Optical Flow (2012) (70)
Scalable Differentiable Physics for Learning and Control (2020) (70)
On Offline Evaluation of Vision-based Driving Models (2018) (66)
Benchmarking Classic and Learned Navigation in Complex 3D Environments (2019) (65)
Space-time planning with parameterized locomotion controllers (2011) (64)
Hardware-Accelerated from-Region Visibility Using a Dual Ray Space (2001) (63)
Acoustic Non-Line-Of-Sight Imaging (2019) (62)
Pattern-aware shape deformation using sliding dockers (2011) (61)
Learning to Inpaint for Image Compression (2017) (51)
Convolutional Sequence Modeling Revisited (2018) (50)
Depth camera tracking with contour cues (2015) (50)
Enhancing Photorealism Enhancement (2021) (50)
Deep Continuous Clustering (2018) (49)
Trajectory Optimization With Implicit Hard Contacts (2018) (46)
The h-index is no longer an effective correlate of scientific reputation (2021) (43)
Fast MRF Optimization with Application to Depth Reconstruction (2014) (43)
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning (2020) (40)
Hardware-Assisted Natural Neighbor Interpolation (2005) (38)
Learning to drive from a world on rails (2021) (38)
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras (2014) (37)
Polyhedral Voronoi Diagrams of Polyhedra in Three Dimensions (2002) (34)
Three dimensional euclidean Voronoi diagrams of lines with a fixed number of orientations (2002) (34)
Geometry Processing with Neural Fields (2021) (33)
High-Dimensional Convolutional Networks for Geometric Pattern Recognition (2020) (33)
Simple Multi-dataset Detection (2021) (33)
The partition technique for overlays of envelopes (2002) (32)
Stabilizing Equilibrium Models by Jacobian Regularization (2021) (31)
Global Tracking Transformers (2022) (30)
Incidences between points and circles in three and higher dimensions (2002) (28)
Motion Perception in Reinforcement Learning with Dynamic Objects (2018) (28)
Trajectory Optimization for Legged Robots With Slipping Motions (2019) (27)
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data (2021) (27)
3-Dimensional Euclidean Voronoi Diagrams of Lines with a Fixed Number of Orientations (2003) (27)
Efficient Differentiable Simulation of Articulated Bodies (2021) (26)
Interactive acquisition of residential floor plans (2012) (26)
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner (2020) (24)
A learned shape-adaptive subsurface scattering model (2019) (24)
Kinetic stable Delaunay graphs (2010) (24)
Smoothed analysis of probabilistic roadmaps (2007) (23)
Self-supervised Geometric Perception (2021) (22)
Differentiable Simulation of Soft Multi-body Systems (2022) (22)
The Limited Multi-Label Projection Layer (2019) (22)
Efficient algorithms for shared camera control (2003) (21)
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation (2019) (21)
Dynamic Low-light Imaging with Quanta Image Sensors (2020) (20)
On the Union of κ-Round Objects in Three and Four Dimensions (2004) (19)
Consensus Maximization Tree Search Revisited (2019) (19)
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning (2018) (19)
Deep Layers as Stochastic Solvers (2018) (17)
Learning to Guide Random Search (2020) (16)
Sharp Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions (2004) (15)
Lines Avoiding Unit Balls in Three Dimensions (2005) (14)
Efficient algorithms for bichromatic separability (2004) (13)
Shape from Polarization for Complex Scenes in the Wild (2021) (13)
Megaverse: Simulating Embodied Agents at One Million Experiences per Second (2021) (12)
Adaptive Surface Reconstruction with Multiscale Convolutional Kernels (2021) (12)
Pianos are not flat: rigid motion planning in three dimensions (2005) (12)
A Modern Library for 3 D Data Processing (2018) (12)
Neural Deep Equilibrium Solvers (2022) (12)
Curve-sensitive cuttings (2003) (11)
Non-deep Networks (2021) (10)
Selecting Effective Occluders for Visibility Culling (2000) (10)
Drinking From a Firehose: Continual Learning With Web-Scale Natural Language (2020) (10)
Segment Intersection Searching Problems in General Settings (2003) (10)
Cutting Triangular Cycles of Lines in Space (2003) (10)
Large Batch Simulation for Deep Reinforcement Learning (2021) (10)
On Overlays and Minimization Diagrams (2006) (9)
Scaling Imitation Learning in Minecraft (2020) (8)
Hiding Video in Audio via Reversible Generative Models (2019) (8)
Separability with Outliers (2005) (8)
Ready, Set, Go! The Voronoi diagram of moving points that start from a line (2004) (7)
Dancing under the stars: video denoising in starlight (2022) (6)
Matching Polyhedral Terrains Using Overlays of Envelopes (2004) (6)
Incidences between Points and Circles in Three and Higher Dimensions (2005) (5)
On the union of κ-round objects (2004) (5)
The Arrangement Method for Linear Programming (2005) (5)
Physical Gradients for Deep Learning (2021) (4)
Distributed Rendering of Virtual Worlds (2008) (4)
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation (2022) (4)
On lines avoiding unit balls in three dimensions (2004) (4)
ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception (2021) (4)
OpenBot: Turning Smartphones into Robots (2020) (4)
Segment intersection searching problems in general settings (2001) (3)
Auto-decoding Graphs (2020) (3)
CSTR 2009-02 Image-Based Exploration of Massive Online Environments (2010) (3)
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation (2022) (3)
Matching Polyhedral Terrains Using Overlays of Envelopes (2004) (2)
Complexity Bounds for Vertical Decompositions of Linear Arrangements in Four Dimensions (2001) (2)
Discrete Structures Lecture Notes (2008) (2)
On the overlay of envelopes in four dimensions (2002) (2)
Robust Reconstruction of Indoor Scenes Supplementary Material (2015) (2)
Point Transformer (2020) (1)
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (2022) (1)
Special Section on Foundations of Computer Science (2007) (1)
N EURAL D EEP E QUILIBRIUM S OLVERS (2022) (1)
Advanced Geometric Algorithms Lecture Notes (2006) (1)
Special Section On The Thirty-Ninth Annual ACM Symposium On Theory Of Computing (STOC 2007) (2009) (0)
Tracking Objects as Points — Supplementary Materials (2020) (0)
Monocular Visual-Inertial Depth Estimation (2023) (0)
Code and Dataset for the paper "Learning High-Speed Flight in the Wild" (Science Robotics, 2021). (2021) (0)
Colored Point Cloud Registration Revisited Supplementary Material (2017) (0)
Investigation of output-power instability in a helium–neon laser with a planospherical resonator (1981) (0)
Habitat Sim Generic Dataset Support Habitat API Habitat Platform (2019) (0)
Matching Polyhedral Terrains Using Overlays of Envelopes (Extended Abstract) (2004) (0)
Deep Drone Acrobatics (Extended Abstract) (2021) (0)
Domain Generalization without Excess Empirical Risk (2022) (0)
Session details: Sampling & filtering (2010) (0)
Deep Global Registration: Supplementary Materials (2020) (0)
Improving information retention in large scale online continual learning (2022) (0)
Spectroscopic investigation of the plasma parameters in laser active media based on Se vapor (1988) (0)
Training Graph Neural Networks with 1000 Layers – Supplementary Material – (2021) (0)
A Measure of Research Taste (2021) (0)
Point Transformer — Supplementary Material (2021) (0)
On the union of kapa-round objects. (2004) (0)
Scale-invariant Learning by Physics Inversion (2021) (0)
Habitat: A Platform for Embodied AI Research Supplemental Materials (2019) (0)
Session details: Sampling & filtering (2010) (0)
Guest Editor's Introduction: Special Section on the ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) (2015) (0)

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What Schools Are Affiliated With Vladlen Koltun?

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