← Authors

Vladlen Koltun

102 papers · 2010–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (19) 🐝 Cross-Pollinator (12) πŸƒ Academic Marathon (15) 🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) 🏠 Conference Loyalist (30) 🀝 Dynamic Duo (16) πŸ‘₯ Mega-Team (21) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ”¬ Deep Specialist (17) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (52) πŸš€ Conference Pioneer πŸ’Ž Century Club (102) ⚑ Prolific Year (16) πŸ“ˆ Trend Setter ❓ The Questioner (2)

Conferences

CVPR (30) ICCV (18) NIPS (17) ICLR (14) ICML (10) CORL (5) ECCV (5) IJCAI (1) INTERSPEECH (1) RSS (1)

Top co-authors

Qifeng Chen (16) Rene Ranftl (12) Erik Wijmans (7) Philipp KrΓ€henbΓΌhl (7) Qian-Yi Zhou (7) Alexey Dosovitskiy (7) Ozan Sener (6) Shaojie Bai (5) Sergey Levine (5) Jaesik Park (4)

Research topics

Applications (1)

Keywords

convolutional neural network (11) semantic segmentation (8) reinforcement learning (7) convolutional network (6) point cloud (5) depth estimation (5) 3d reconstruction (5) image classification (4) gradient-based optimization (4) physics simulation (4) inverse problem (4) computer vision (4) autonomous driving (4) policy search (3) trajectory optimization (3) deep reinforcement learning (3) optical flow (3) pose estimation (3) scene reconstruction (3) embodied ai (3)

Papers

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second ICLR 2025
Cut Your Losses in Large-Vocabulary Language Models ICLR 2025
Robust Autonomy Emerges from Self-Play ICML 2025
CoMotion: Concurrent Multi-person 3D Motion ICLR 2025
Does Spatial Cognition Emerge in Frontier Models? ICLR 2025
Shape From Polarization for Complex Scenes in the Wild CVPR 2022
Dancing Under the Stars: Video Denoising in Starlight CVPR 2022
Global Tracking Transformers CVPR 2022
Scale-invariant Learning by Physics Inversion NIPS 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics NIPS 2022
Non-deep Networks NIPS 2022
Domain Generalization without Excess Empirical Risk NIPS 2022
Simple Multi-Dataset Detection CVPR 2022
Neural Deep Equilibrium Solvers ICLR 2022
Language-driven Semantic Segmentation ICLR 2022
Habitat 2.0: Training Home Assistants to Rearrange their Habitat NIPS 2021
Self-Supervised Geometric Perception CVPR 2021
Stable View Synthesis CVPR 2021
Differentiable Simulation of Soft Multi-body Systems NIPS 2021
Geometry Processing with Neural Fields NIPS 2021
Stabilizing Equilibrium Models by Jacobian Regularization ICML 2021
Large Batch Simulation for Deep Reinforcement Learning ICLR 2021
Adaptive Surface Reconstruction With Multiscale Convolutional Kernels ICCV 2021
Point Transformer ICCV 2021
Vision Transformers for Dense Prediction ICCV 2021
Learning To Drive From a World on Rails ICCV 2021
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data ICCV 2021
Efficient Differentiable Simulation of Articulated Bodies ICML 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second ICML 2021
Training Graph Neural Networks with 1000 Layers ICML 2021
Deep Drone Acrobatics (Extended Abstract) IJCAI 2021
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation CVPR 2020
High-Dimensional Convolutional Networks for Geometric Pattern Recognition CVPR 2020
Deep Drone Acrobatics RSS 2020
Exploring Self-Attention for Image Recognition CVPR 2020
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner CVPR 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning ICML 2020
Scalable Differentiable Physics for Learning and Control ICML 2020
Multiscale Deep Equilibrium Models NIPS 2020
Tracking Objects as Points ECCV 2020
Free View Synthesis ECCV 2020
Dynamic Low-light Imaging with Quanta Image Sensors ECCV 2020
Deep Global Registration CVPR 2020
Learning to Control PDEs with Differentiable Physics ICLR 2020
Learning to Guide Random Search ICLR 2020
Lagrangian Fluid Simulation with Continuous Convolutions ICLR 2020
Deep Layers as Stochastic Solvers ICLR 2019
Deep Equilibrium Models NIPS 2019
Differentiable Cloth Simulation for Inverse Problems NIPS 2019
Learning by Cheating CORL 2019
What Do Single-View 3D Reconstruction Networks Learn? CVPR 2019
Zoom to Learn, Learn to Zoom CVPR 2019
Events-To-Video: Bringing Modern Computer Vision to Event Cameras CVPR 2019
Acoustic Non-Line-Of-Sight Imaging CVPR 2019
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation CVPR 2019
Hiding Video in Audio via Reversible Generative Models ICCV 2019
Consensus Maximization Tree Search Revisited ICCV 2019
Seeing Motion in the Dark ICCV 2019
Fully Convolutional Geometric Features ICCV 2019
Habitat: A Platform for Embodied AI Research ICCV 2019
Trellis Networks for Sequence Modeling ICLR 2019
Speech Denoising with Deep Feature Losses INTERSPEECH 2019
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning ICLR 2018
Semi-parametric topological memory for navigation ICLR 2018
Driving Policy Transfer via Modularity and Abstraction CORL 2018
Deep Drone Racing: Learning Agile Flight in Dynamic Environments CORL 2018
Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search NIPS 2018
Motion Perception in Reinforcement Learning with Dynamic Objects CORL 2018
On Offline Evaluation of Vision-based Driving Models ECCV 2018
Deep Fundamental Matrix Estimation ECCV 2018
Semi-Parametric Image Synthesis CVPR 2018
Tangent Convolutions for Dense Prediction in 3D CVPR 2018
Learning to See in the Dark CVPR 2018
Interactive Image Segmentation With Latent Diversity CVPR 2018
Multi-Task Learning as Multi-Objective Optimization NIPS 2018
Photographic Image Synthesis With Cascaded Refinement Networks ICCV 2017
Playing for Benchmarks ICCV 2017
Fast Image Processing With Fully-Convolutional Networks ICCV 2017
Learning to Inpaint for Image Compression NIPS 2017
Accurate Optical Flow via Direct Cost Volume Processing CVPR 2017
Dilated Residual Networks CVPR 2017
CARLA: An Open Urban Driving Simulator CORL 2017
Colored Point Cloud Registration Revisited ICCV 2017
Learning Compact Geometric Features ICCV 2017
Dense Monocular Depth Estimation in Complex Dynamic Scenes CVPR 2016
Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids CVPR 2016
Feature Space Optimization for Semantic Video Segmentation CVPR 2016
Learning to Propose Objects CVPR 2015
Depth Camera Tracking With Contour Cues CVPR 2015
Robust Nonrigid Registration by Convex Optimization ICCV 2015
Robust Reconstruction of Indoor Scenes CVPR 2015
Fast MRF Optimization with Application to Depth Reconstruction CVPR 2014
Learning Complex Neural Network Policies with Trajectory Optimization ICML 2014
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras CVPR 2014
Parameter Learning and Convergent Inference for Dense Random Fields ICML 2013
A Simple Model for Intrinsic Image Decomposition with Depth Cues ICCV 2013
Elastic Fragments for Dense Scene Reconstruction ICCV 2013
Guided Policy Search ICML 2013
Variational Policy Search via Trajectory Optimization NIPS 2013
Nonlinear Inverse Reinforcement Learning with Gaussian Processes NIPS 2011
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials NIPS 2011
Feature Construction for Inverse Reinforcement Learning NIPS 2010