Matteo Poggi
40 papers · 2017–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Interdisciplinary Bridge π Renaissance Researcher (5) π Academic Marathon (9) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (48)
πΊοΈ
Taxonomy Completionist
(48)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(29)
π¬
Deep Specialist
(17)
π
Keyword Champion
(11)
π
Conference Pioneer
π
Century Club
(39)
ποΈ
Keyword Collector
(114)
π₯
Unstoppable
(10)
β
The Questioner
β‘
Prolific Year
(8)
Conferences
CVPR (15)
ICCV (12)
ECCV (7)
WACV (4)
AAAI (2)
Top co-authors
Keywords
depth estimation
(19)
stereo matching
(11)
self-supervised learning
(7)
convolutional neural network
(6)
monocular depth
(6)
disparity estimation
(4)
optical flow
(4)
sparse depth
(4)
domain adaptation
(3)
depth prediction
(3)
neural network
(3)
knowledge distillation
(3)
3d reconstruction
(3)
scene understanding
(2)
zero-shot generalization
(2)
semantic segmentation
(2)
benchmark dataset
(2)
neural radiance field
(2)
monocular depth estimation
(2)
neural rendering
(2)
Papers
WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields
WACV 2026
FoundationSLAM: Unleashing the Power of Depth Foundation Models for End-to-End Dense Visual SLAM
AAAI 2026
ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration
ICCV 2025
Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation
ICCV 2025
FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases
ICCV 2025
Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond
ICCV 2025
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic Segmentation
CVPR 2025
Learning Temporally Consistent Video Depth from Video Diffusion Priors
CVPR 2025
Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
CVPR 2025
CabNIR: A Benchmark for In-Vehicle Infrared Monocular Depth Estimation
WACV 2025
LiDAR-Event Stereo Fusion with Hallucinations
ECCV 2024
Federated Online Adaptation for Deep Stereo
CVPR 2024
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
ECCV 2024
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor
ECCV 2024
NeRF-Supervised Deep Stereo
CVPR 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
Learning Depth Estimation for Transparent and Mirror Surfaces
ICCV 2023
Active Stereo Without Pattern Projector
ICCV 2023
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
ICCV 2023
Sparsity Agnostic Depth Completion
WACV 2023
ScanNeRF: A Scalable Benchmark for Neural Radiance Fields
WACV 2023
CompletionFormer: Depth Completion With Convolutions and Vision Transformers
CVPR 2023
Open Challenges in Deep Stereo: The Booster Dataset
CVPR 2022
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
CVPR 2022
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
ECCV 2022
Learning Optical Flow From Still Images
CVPR 2021
Sensor-Guided Optical Flow
ICCV 2021
Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge
AAAI 2020
On the Uncertainty of Self-Supervised Monocular Depth Estimation
CVPR 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
CVPR 2020
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
ECCV 2020
Self-adapting confidence estimation for stereo
ECCV 2020
Real-Time Self-Adaptive Deep Stereo
CVPR 2019
Guided Stereo Matching
CVPR 2019
Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
CVPR 2019
Beyond local reasoning for stereo confidence estimation with deep learning
ECCV 2018
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
CVPR 2017
Quantitative Evaluation of Confidence Measures in a Machine Learning World
ICCV 2017
Unsupervised Adaptation for Deep Stereo
ICCV 2017