TOSI, FABIO
 Distribuzione geografica
Continente #
EU - Europa 2.103
NA - Nord America 2.092
AS - Asia 961
AF - Africa 77
SA - Sud America 13
OC - Oceania 2
Continente sconosciuto - Info sul continente non disponibili 1
Totale 5.249
Nazione #
US - Stati Uniti d'America 2.068
GB - Regno Unito 798
IT - Italia 590
CN - Cina 337
SG - Singapore 311
DE - Germania 209
IN - India 96
FR - Francia 73
RU - Federazione Russa 72
IE - Irlanda 69
SE - Svezia 64
FI - Finlandia 51
TR - Turchia 46
JO - Giordania 43
TG - Togo 41
BG - Bulgaria 29
NL - Olanda 29
ID - Indonesia 25
CA - Canada 23
HK - Hong Kong 23
CH - Svizzera 21
KR - Corea 20
ZA - Sudafrica 18
JP - Giappone 17
UA - Ucraina 17
VN - Vietnam 16
CI - Costa d'Avorio 13
EE - Estonia 9
HR - Croazia 9
RO - Romania 9
AT - Austria 8
BR - Brasile 8
BE - Belgio 7
IR - Iran 7
PL - Polonia 7
PT - Portogallo 7
ES - Italia 6
GR - Grecia 5
SI - Slovenia 5
TW - Taiwan 5
AR - Argentina 4
CZ - Repubblica Ceca 4
IL - Israele 3
LK - Sri Lanka 3
AU - Australia 2
BW - Botswana 2
LU - Lussemburgo 2
PH - Filippine 2
RS - Serbia 2
SN - Senegal 2
UZ - Uzbekistan 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AE - Emirati Arabi Uniti 1
CL - Cile 1
GE - Georgia 1
KE - Kenya 1
KH - Cambogia 1
LB - Libano 1
MX - Messico 1
PK - Pakistan 1
SK - Slovacchia (Repubblica Slovacca) 1
Totale 5.249
Città #
Southend 764
Singapore 222
Santa Clara 209
Chandler 199
Ashburn 175
Fairfield 169
Bologna 156
Wilmington 139
Woodbridge 89
Seattle 79
Princeton 76
Cambridge 75
Boardman 74
Houston 71
Dublin 70
Redmond 49
Amman 43
Istanbul 43
Ann Arbor 42
Helsinki 41
Lomé 41
Milan 40
Rome 31
Berlin 30
Sofia 29
Westminster 28
Jakarta 25
Medford 25
Nanjing 21
Amsterdam 17
Des Moines 17
Jinan 17
Redwood City 17
Shanghai 16
Beijing 15
Chicago 15
Dong Ket 15
Florence 15
Shenyang 15
Paris 14
Abidjan 13
Ravenna 13
San Diego 13
Los Angeles 12
Turin 12
Falls Church 11
Guangzhou 11
Nuremberg 11
Zhengzhou 11
Imola 10
Lappeenranta 10
Cesena 9
Toronto 9
Changsha 8
Chengdu 8
Hyderabad 8
Modena 8
Tokyo 8
Brussels 7
Falkenstein 7
Hebei 7
Munich 7
Padova 7
Saint Petersburg 7
Wuhan 7
London 6
Seoul 6
Athens 5
Castel San Pietro Terme 5
Chesterfield 5
Cologna 5
Ferrara 5
Forlì 5
Fuzhou 5
Greely 5
Norwalk 5
Olalla 5
Parma 5
San Jose 5
Tianjin 5
Vienna 5
Xi'an 5
Yubileyny 5
Abano Terme 4
Ancona 4
Baden 4
Bühl 4
Fremont 4
Geneve 4
Haikou 4
Huaibei 4
Inokashira 4
Jiaxing 4
Moscow 4
Nanchang 4
Perugia 4
Phoenix 4
Seocho-gu 4
Taizhou 4
Trieste 4
Totale 3.622
Nome #
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation 223
Distilled semantics for comprehensive scene understanding from videos 198
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation 187
Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema 179
Confidence Estimation for ToF and Stereo Sensors and Its Application to Depth Data Fusion 151
Monocular Depth Perception on Microcontrollers for Edge Applications 148
Continual Adaptation for Deep Stereo 147
Self-adapting confidence estimation for stereo 137
Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof 136
Enabling Image-Based Streamflow Monitoring at the Edge 134
Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs 134
Beyond local reasoning for stereo confidence estimation with deep learning 133
Metodo di determinazione della profondità da immagini e relativo sistema 129
Learning end-to-end scene flow by distilling single tasks knowledge 127
Efficient confidence measures for embedded stereo 126
Generative Adversarial Networks for unsupervised monocular depth prediction 126
Optical Tracking Velocimetry (OTV): Leveraging Optical Flow and Trajectory-Based Filtering for Surface Streamflow Observations 126
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey 124
Real-time self-adaptive deep stereo 121
Quantitative Evaluation of Confidence Measures in a Machine Learning World 118
Geometry meets semantic for semi-supervised monocular depth estimation 117
Learning confidence measures in the wild 116
Real-Time Single Image Depth Perception in the Wild with Handheld Devices 115
Enabling monocular depth perception at the very edge 114
Even More Confident Predictions with Deep Machine-Learning 112
Learning a confidence measure in the disparity domain from O(1) features 112
Learning monocular depth estimation infusing traditional stereo knowledge 106
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation 103
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions 102
Good cues to learn from scratch a confidence measure for passive depth sensors 98
On the Uncertainty of Self-Supervised Monocular Depth Estimation 95
Towards real-time unsupervised monocular depth estimation on CPU 93
Real-Time Self-Supervised Monocular Depth Estimation Without GPU 93
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms 91
On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge 75
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces 75
The Monocular Depth Estimation Challenge 71
Neural Disparity Refinement for Arbitrary Resolution Stereo 71
Learning Depth Estimation for Transparent and Mirror Surfaces 66
Guided stereo matching 65
Leveraging confident points for accurate depth refinement on embedded systems 65
Open Challenges in Deep Stereo: the Booster Dataset 62
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction 59
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation 57
Cross-Spectral Neural Radiance Fields 52
Active Stereo Without Pattern Projector 52
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer 40
NTIRE 2023 Challenge on HR Depth From Images of Specular and Transparent Surfaces 36
NeRF-Supervised Deep Stereo 34
SMD-Nets: Stereo Mixture Density Networks 32
Depth super-resolution from explicit and implicit high-frequency features 30
The Second Monocular Depth Estimation Challenge 27
Self-supervised depth super-resolution with contrastive multiview pre-training 25
Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data 25
On-Site Adaptation for Monocular Depth Estimation with a Static Camera 22
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces 19
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes 18
Neural Disparity Refinement 14
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions 6
Totale 5.469
Categoria #
all - tutte 17.832
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 17.832


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020210 0 0 0 0 0 0 0 61 65 39 23 22
2020/20211.329 179 88 93 35 74 78 97 105 204 108 141 127
2021/20221.011 55 49 66 43 131 62 42 67 111 27 225 133
2022/2023989 67 147 52 120 57 103 42 53 190 37 49 72
2023/2024503 11 54 26 21 22 59 40 65 16 35 75 79
2024/20251.163 99 172 128 128 316 82 222 16 0 0 0 0
Totale 5.469