Fabio Tosi (@fabiotosi92)
github

fabiotosi92

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  • Stars
    star
    926
  • Global Rank 33,025 (Top 2 %)
  • Followers 91
  • Following 6
  • Registered over 7 years ago
  • Most used languages
    Python
         62.5 %
    C++
         25.0 %
    TeX
         12.5 %
  • Location 🇮🇹 Italy
  • Country Total Rank 446
  • Country Ranking
    TeX
         2
    Python
         66
    C++
         412

Top repositories

1

NeRF-Supervised-Deep-Stereo

A novel paradigm for collecting and generating stereo training data using neural rendering
Python
348
star
2

Awesome-Deep-Stereo-Matching

A curated list of awesome Deep Stereo Matching resources
TeX
195
star
3

SMD-Nets

SMD-Nets: Stereo Mixture Density Networks
Python
156
star
4

monoResMatch-Tensorflow

Tensorflow implementation of monocular Residual Matching (monoResMatch) network.
Python
116
star
5

Diffusion4RobustDepth

[ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
61
star
6

CCNN-Tensorflow

Learning from scratch a confidence measure
Python
22
star
7

Unsupervised-Confidence-Measures

This strategy provides labels for training confidence measures based on machine-learning technique without ground-truth labels (BMVC 2017)
C++
16
star
8

LGC-Tensorflow

We propose to exploit nearby and farther clues available from image and disparity domains to obtain a more accurate confidence estimation. While local information is very effective for detecting high frequency patterns, it lacks insights from farther regions in the scene. On the other hand, enlarging the receptive field allows to include clues from farther regions but produces smoother uncertainty estimation, not particularly accurate when dealing with high frequency patterns. For these reasons, we propose a multi-stage cascaded network to combine the best of the two worlds.
Python
13
star
9

Optical-Tracking-Velocimetry

C++
8
star