Stefano Mattoccia
29 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Academic Marathon (8) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (39)
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πΊοΈ
Taxonomy Completionist
(39)
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Renaissance Researcher
(5)
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Deep Specialist
(13)
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Dynamic Duo
(29)
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(4)
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Prolific Year
(5)
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Century Club
(29)
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(85)
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Unstoppable
(9)
Conferences
CVPR (11)
ICCV (10)
ECCV (5)
WACV (2)
AAAI (1)
Top co-authors
Keywords
depth estimation
(17)
stereo matching
(9)
self-supervised learning
(6)
convolutional neural network
(6)
monocular depth
(5)
sparse depth
(4)
disparity estimation
(3)
optical flow
(3)
neural network
(3)
multi-view geometry
(2)
vision foundation model
(2)
depth completion
(2)
transparent surface
(2)
scene understanding
(2)
point cloud
(2)
vision transformer
(2)
3d reconstruction
(2)
knowledge distillation
(2)
monocular depth estimation
(2)
domain adaptation
(2)
Papers
CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation
WACV 2025
Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation
ICCV 2025
ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration
ICCV 2025
Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
CVPR 2025
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond
ICCV 2025
LiDAR-Event Stereo Fusion with Hallucinations
ECCV 2024
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor
ECCV 2024
Active Stereo Without Pattern Projector
ICCV 2023
Learning Depth Estimation for Transparent and Mirror Surfaces
ICCV 2023
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes
ICCV 2023
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction
ICCV 2023
Sparsity Agnostic Depth Completion
WACV 2023
CompletionFormer: Depth Completion With Convolutions and Vision Transformers
CVPR 2023
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
CVPR 2022
Open Challenges in Deep Stereo: The Booster Dataset
CVPR 2022
Learning Optical Flow From Still Images
CVPR 2021
Sensor-Guided Optical Flow
ICCV 2021
Self-adapting confidence estimation for stereo
ECCV 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
CVPR 2020
On the Uncertainty of Self-Supervised Monocular Depth Estimation
CVPR 2020
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
ECCV 2020
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge
AAAI 2020
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
CVPR 2019
Guided Stereo Matching
CVPR 2019
Real-Time Self-Adaptive Deep Stereo
CVPR 2019
Beyond local reasoning for stereo confidence estimation with deep learning
ECCV 2018
Quantitative Evaluation of Confidence Measures in a Machine Learning World
ICCV 2017
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
CVPR 2017
Unsupervised Adaptation for Deep Stereo
ICCV 2017