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Stefano Mattoccia

32 papers · 2017–2026 · 5 venues · across top CS/AI venues

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (15) 🀝 Dynamic Duo (32) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (94) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Silver πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer

Papers

Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo CVPR 2026 EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors CVPR 2026 Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos CVPR 2026 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 Learnable Fractional Reaction-Diffusion Dynamics for Under-Display ToF Imaging and Beyond ICCV 2025 Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail CVPR 2025 ToF-Splatting: Dense SLAM using Sparse Time-of-Flight Depth and Multi-Frame Integration ICCV 2025 Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor ECCV 2024 LiDAR-Event Stereo Fusion with Hallucinations ECCV 2024 Active Stereo Without Pattern Projector ICCV 2023 CompletionFormer: Depth Completion With Convolutions and Vision Transformers 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 Sparsity Agnostic Depth Completion WACV 2023 Open Challenges in Deep Stereo: The Booster Dataset CVPR 2022 RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation CVPR 2022 Learning Optical Flow From Still Images CVPR 2021 Sensor-Guided Optical Flow ICCV 2021 Distilled Semantics for Comprehensive Scene Understanding from Videos CVPR 2020 Learning End-to-End Scene Flow by Distilling Single Tasks Knowledge AAAI 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 Self-adapting confidence estimation for stereo ECCV 2020 Guided Stereo Matching CVPR 2019 Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge CVPR 2019 Real-Time Self-Adaptive Deep Stereo 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