← Authors

Matteo Poggi

40 papers · 2017–2026 · 5 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (48) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (29) πŸ”¬ Deep Specialist (17) πŸ† Keyword Champion (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (39) πŸ—ƒοΈ Keyword Collector (114) πŸ”₯ Unstoppable (10) ❓ The Questioner ⚑ Prolific Year (8)

Conferences

CVPR (15) ICCV (12) ECCV (7) WACV (4) AAAI (2)

Top co-authors

Stefano Mattoccia (29) Fabio Tosi (25) Filippo Aleotti (8) Luigi Di Stefano (7) Andrea Conti (5) Pierluigi Zama Ramirez (5) Luca Bartolomei (4) Pier Luigi Dovesi (3) Samuele Salti (3) Theodoros Panagiotakopoulos (3)

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