Maxim Tatarchenko
7 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
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Research topics
Computer Vision
(5)
Machine Learning
(5)
Analysis
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Core Methods
(3)
Architectures
(2)
Domain-Specific
(2)
Learning Types
(2)
Natural Language Processing
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Generation · Natural Language Processing
(1)
Generation · Computer Vision
(1)
Keywords
3d vision
(2)
single-view 3d reconstruction
(2)
evidence theory
(2)
convolutional neural network
(2)
convolutional network
(2)
autonomous driving
(2)
image retrieval
(1)
uncertainty quantification
(1)
in-context learning
(1)
point cloud
(1)
3d gaussian splatting
(1)
uncertainty estimation
(1)
semantic occupancy
(1)
encoder-decoder architecture
(1)
shape prior
(1)
depth map
(1)
occupancy map
(1)
automated driving
(1)
occupancy map prediction
(1)
cad model retrieval
(1)
Papers
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory
CVPR 2025
Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory
CVPR 2024
SceneTeller: Language-to-3D Scene Generation
ECCV 2024
Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors
CVPR 2021
What Do Single-View 3D Reconstruction Networks Learn?
CVPR 2019
Tangent Convolutions for Dense Prediction in 3D
CVPR 2018
Octree Generating Networks: Efficient Convolutional Architectures for High-Resolution 3D Outputs
ICCV 2017