Fabio Tosi

papers

1,027

total citations

papers (17)

Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation

ECCV 2020arXiv

citations

Open Challenges in Deep Stereo: The Booster Dataset

CVPR 2022arXiv

citations

Learning Depth Estimation for Transparent and Mirror Surfaces

ICCV 2023arXiv

citations

Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

CVPR 2025arXiv

citations

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

ECCV 2024arXiv

citations

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes

ICCV 2023arXiv

citations

Federated Online Adaptation for Deep Stereo

CVPR 2024arXiv

citations

Active Stereo Without Pattern Projector

ICCV 2023arXiv

citations

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation

CVPR 2022arXiv

citations

Self-adapting confidence estimation for stereo

ECCV 2020arXiv

citations

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases

ICCV 2025arXiv

citations

Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation

ICCV 2025arXiv

citations

Fabio Tosi

papers (17)

On the Uncertainty of Self-Supervised Monocular Depth Estimation

GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

SMD-Nets: Stereo Mixture Density Networks

Distilled Semantics for Comprehensive Scene Understanding from Videos

NeRF-Supervised Deep Stereo

Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation

Open Challenges in Deep Stereo: The Booster Dataset

Learning Depth Estimation for Transparent and Mirror Surfaces

Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes

Federated Online Adaptation for Deep Stereo

Active Stereo Without Pattern Projector

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation

Self-adapting confidence estimation for stereo

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases

Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation

papers (17)

On the Uncertainty of Self-Supervised Monocular Depth Estimation

GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

SMD-Nets: Stereo Mixture Density Networks

Distilled Semantics for Comprehensive Scene Understanding from Videos

NeRF-Supervised Deep Stereo

Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation

Open Challenges in Deep Stereo: The Booster Dataset

Learning Depth Estimation for Transparent and Mirror Surfaces

Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail

Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes

Federated Online Adaptation for Deep Stereo

Active Stereo Without Pattern Projector

RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation

Self-adapting confidence estimation for stereo

FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases

Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation