POGGI, MATTEO
 Distribuzione geografica
Continente #
AS - Asia 5.949
NA - Nord America 4.937
EU - Europa 3.907
SA - Sud America 302
AF - Africa 242
OC - Oceania 9
Continente sconosciuto - Info sul continente non disponibili 2
Totale 15.348
Nazione #
US - Stati Uniti d'America 4.842
SG - Singapore 1.760
CN - Cina 1.689
IT - Italia 1.188
GB - Regno Unito 1.092
VN - Vietnam 966
HK - Hong Kong 467
DE - Germania 418
FR - Francia 268
KR - Corea 231
IN - India 225
BR - Brasile 213
FI - Finlandia 132
RU - Federazione Russa 129
IE - Irlanda 124
NL - Olanda 124
JP - Giappone 123
SE - Svezia 106
TR - Turchia 99
CI - Costa d'Avorio 79
TG - Togo 64
CA - Canada 62
JO - Giordania 60
ID - Indonesia 56
BG - Bulgaria 51
AR - Argentina 48
ZA - Sudafrica 48
TW - Taiwan 44
BD - Bangladesh 34
CH - Svizzera 34
PH - Filippine 34
UA - Ucraina 31
AT - Austria 30
ES - Italia 30
IQ - Iraq 27
BE - Belgio 26
PL - Polonia 24
MX - Messico 21
TH - Thailandia 20
EE - Estonia 18
IL - Israele 16
PK - Pakistan 16
HR - Croazia 14
MY - Malesia 14
RO - Romania 14
SA - Arabia Saudita 13
SC - Seychelles 13
EC - Ecuador 12
IR - Iran 12
PT - Portogallo 10
CL - Cile 9
AU - Australia 8
CZ - Repubblica Ceca 7
GR - Grecia 7
LT - Lituania 7
MA - Marocco 7
UZ - Uzbekistan 7
LB - Libano 6
PY - Paraguay 6
SI - Slovenia 6
CO - Colombia 5
DK - Danimarca 5
EG - Egitto 5
KE - Kenya 5
SK - Slovacchia (Repubblica Slovacca) 4
SN - Senegal 4
AE - Emirati Arabi Uniti 3
AZ - Azerbaigian 3
BO - Bolivia 3
DO - Repubblica Dominicana 3
DZ - Algeria 3
LK - Sri Lanka 3
NP - Nepal 3
PS - Palestinian Territory 3
TN - Tunisia 3
BW - Botswana 2
KG - Kirghizistan 2
KH - Cambogia 2
KZ - Kazakistan 2
LU - Lussemburgo 2
LY - Libia 2
NG - Nigeria 2
PE - Perù 2
QA - Qatar 2
RS - Serbia 2
SY - Repubblica araba siriana 2
UY - Uruguay 2
VE - Venezuela 2
A2 - ???statistics.table.value.countryCode.A2??? 1
AL - Albania 1
BH - Bahrain 1
BS - Bahamas 1
BY - Bielorussia 1
CR - Costa Rica 1
DJ - Gibuti 1
DM - Dominica 1
ET - Etiopia 1
GA - Gabon 1
GE - Georgia 1
GM - Gambi 1
Totale 15.334
Città #
Singapore 1.238
Southend 992
Dallas 469
Hefei 440
Hong Kong 421
Ashburn 405
Bologna 354
Santa Clara 347
Chandler 304
San Jose 287
Fairfield 281
Ho Chi Minh City 247
Hanoi 214
Seoul 194
Wilmington 189
Beijing 152
Woodbridge 144
Boardman 132
Cambridge 132
Seattle 124
Ann Arbor 122
Dublin 121
Houston 116
Princeton 114
Tokyo 95
Los Angeles 91
Helsinki 88
Lauterbourg 83
Abidjan 79
Istanbul 78
Milan 76
Lomé 64
Redmond 63
Amman 59
Buffalo 55
Sofia 50
Da Nang 48
Rome 48
Chicago 47
Dong Ket 47
Council Bluffs 45
Medford 43
Berlin 41
Frankfurt am Main 41
Guangzhou 41
Bengaluru 40
Westminster 40
Redondo Beach 39
Amsterdam 38
Jakarta 38
Nanjing 37
New York 36
Shanghai 36
Munich 33
Jinan 30
Paris 28
Redwood City 28
Lappeenranta 27
Taipei 27
Haiphong 26
Nuremberg 26
Shenyang 26
Padova 25
Cesena 23
Des Moines 23
Reggio Emilia 23
São Paulo 23
Brussels 22
Florence 21
San Diego 21
Turin 20
Changsha 19
Hyderabad 19
London 19
Falkenstein 18
Modena 18
Montreal 18
Ravenna 18
The Dalles 18
Atlanta 17
Saint Petersburg 17
Falls Church 16
Forlì 16
Hebei 16
Orem 16
Tianjin 16
Turku 16
Vienna 16
Imola 15
Toronto 15
Wuhan 14
Xi'an 14
Zhengzhou 13
Hải Dương 12
Jiaxing 12
Johannesburg 12
Can Tho 11
Chengdu 11
Fremont 11
Hangzhou 11
Totale 10.021
Nome #
A computer vision approach based on deep learning for the detection of dairy cows in 2 free stall barn 516
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation 303
Distilled semantics for comprehensive scene understanding from videos 285
Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot 270
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation 262
Monocular Depth Perception on Microcontrollers for Edge Applications 257
Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema 245
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey 230
Continual Adaptation for Deep Stereo 229
Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs 222
The Monocular Depth Estimation Challenge 220
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields 217
Self-adapting confidence estimation for stereo 208
Unsupervised Domain Adaptation for Depth Prediction from Images 203
Unsupervised Adaptation for Deep Stereo 201
Enabling Image-Based Streamflow Monitoring at the Edge 201
Confidence Estimation for ToF and Stereo Sensors and Its Application to Depth Data Fusion 199
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces 195
Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof 193
Generative Adversarial Networks for unsupervised monocular depth prediction 192
Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired 189
Real-time self-adaptive deep stereo 189
Deep stereo fusion: Combining multiple disparity hypotheses with deep-learning 186
Learning end-to-end scene flow by distilling single tasks knowledge 184
Real-Time Single Image Depth Perception in the Wild with Handheld Devices 183
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction 180
COMPUTER VISION IDENTIFICATION AND POSITION DETECTION OF FRIESIAN COWS 178
Beyond local reasoning for stereo confidence estimation with deep learning 176
Metodo di determinazione della profondità da immagini e relativo sistema 175
Learning confidence measures in the wild 167
CompletionFormer: Depth Completion with Convolutions and Vision Transformers 166
NTIRE 2023 Challenge on HR Depth From Images of Specular and Transparent Surfaces 165
Learning from scratch a confidence measure 164
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation 164
Quantitative Evaluation of Confidence Measures in a Machine Learning World 163
Efficient confidence measures for embedded stereo 163
Enabling monocular depth perception at the very edge 163
Learning monocular depth estimation infusing traditional stereo knowledge 163
Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching 162
A wearable mobility aid for the visually Impaired based on embedded 3D vision and deep learning 160
Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices 159
Learning a confidence measure in the disparity domain from O(1) features 156
Depth Self-Supervision for Single Image Novel View Synthesis 155
A Survey on Deep Stereo Matching in the Twenties 155
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation 154
Sparsity Agnostic Depth Completion 152
TemporalStereo: Effcient Spatial-Temporal Stereo Matching Network 151
Geometry meets semantic for semi-supervised monocular depth estimation 151
A Cascade Dense Connection Fusion Network for Depth Completion 150
Improving the reliability of 3D people tracking system by means of deep-learning 150
On-Site Adaptation for Monocular Depth Estimation with a Static Camera 147
On the Uncertainty of Self-Supervised Monocular Depth Estimation 147
The Second Monocular Depth Estimation Challenge 145
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes 145
A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA 145
Active Stereo Without Pattern Projector 142
Even More Confident Predictions with Deep Machine-Learning 140
Multi-View Guided Multi-View Stereo 139
Contrastive Learning for Depth Prediction 139
Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data 138
Real-Time Self-Supervised Monocular Depth Estimation Without GPU 138
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions 137
Good cues to learn from scratch a confidence measure for passive depth sensors 133
Neural Disparity Refinement for Arbitrary Resolution Stereo 133
Towards real-time unsupervised monocular depth estimation on CPU 132
Monitoring Social Distancing With Single Image Depth Estimation 131
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms 130
On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge 130
Learning Depth Estimation for Transparent and Mirror Surfaces 129
Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry 128
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps 128
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces 122
Unsupervised confidence for LiDAR depth maps and applications 122
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor 113
Depth super-resolution from explicit and implicit high-frequency features 113
Open Challenges in Deep Stereo: the Booster Dataset 112
Real-Time Semantic Stereo Matching 109
Guided stereo matching 108
LiDAR-Event Stereo Fusion with Hallucinations 107
Drive with the Flow 105
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer 105
Leveraging confident points for accurate depth refinement on embedded systems 105
NeRF-Supervised Deep Stereo 104
Neural Disparity Refinement 103
Learning optical flow from still images 102
Depth Restoration in Under-Display Time-of-Flight Imaging 99
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions 99
Cross-Spectral Neural Radiance Fields 97
Sensor-guided optical flow 94
RGB Guided ToF Imaging System: A Survey of Deep Learning-Based Methods 81
Matching-space Stereo Networks for Cross-domain Generalization 78
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization 71
Self-supervised depth super-resolution with contrastive multiview pre-training 70
Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation 61
The Third Monocular Depth Estimation Challenge 60
Federated Online Adaptation for Deep Stereo 59
Range-Agnostic Multi-View Depth Estimation with Keyframe Selection 58
Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs 57
MaskingDepth: Masked Consistency Regularization for Semi-Supervised Monocular Depth Estimation 47
Meta-confidence estimation for stereo matching 37
Totale 15.295
Categoria #
all - tutte 44.088
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 44.088


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021539 0 0 0 0 0 0 0 0 0 141 178 220
2021/20221.510 101 72 96 68 179 93 68 106 151 34 314 228
2022/20231.560 107 211 69 182 105 168 66 92 292 56 86 126
2023/2024821 34 91 49 51 41 101 54 93 18 56 129 104
2024/20252.909 146 281 200 192 482 120 302 102 73 132 258 621
2025/20266.304 518 772 1.013 543 666 328 662 256 1.103 443 0 0
Totale 15.744