Frank Dellaert
13 papers · 2005–2026 · 4 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(9)
Machine Learning
(6)
Core AI
(6)
Computer Vision
(5)
Analysis
(5)
Deep Learning
(4)
Optimization & Theory
(3)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Learning Types
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Applications
(1)
Architectures
(1)
Generation
(1)
Keywords
probabilistic inference
(2)
neural radiance field
(2)
factor graph
(2)
maximum a posteriori
(2)
bayesian network
(2)
uncertainty quantification
(2)
active mapping
(2)
image retrieval
(1)
state estimation
(1)
3d reconstruction
(1)
gaussian process
(1)
trajectory optimization
(1)
scene representation
(1)
pose estimation
(1)
end-to-end learning
(1)
scene reconstruction
(1)
data mining
(1)
3d gaussian splatting
(1)
convolutional neural network
(1)
semantic segmentation
(1)
Papers
Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field
CVPR 2026
Neural Visibility Field for Uncertainty-Driven Active Mapping
CVPR 2024
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
CVPR 2022
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas
ECCV 2022
Learning Inertial Odometry for Dynamic Legged Robot State Estimation
CoRL 2021
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n)
ECCV 2020
Taking a Deeper Look at the Inverse Compositional Algorithm
CVPR 2019
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference
RSS 2017
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
RSS 2016
Dataset Fingerprints: Exploring Image Collections Through Data Mining
CVPR 2015
IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation
RSS 2015
Data driven MCMC for Appearance-based Topological Mapping
RSS 2005
Square Root SAM
RSS 2005