CRIS Current Research Information System

POGGI, MATTEO
 Distribuzione geografica
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Continente #
AS - Asia 6.205
NA - Nord America 5.432
EU - Europa 4.115
SA - Sud America 306
AF - Africa 242
OC - Oceania 10
Continente sconosciuto - Info sul continente non disponibili 3
Totale 16.313
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Nazione #
US - Stati Uniti d'America 5.311
SG - Singapore 1.777
CN - Cina 1.712
IT - Italia 1.374
GB - Regno Unito 1.093
VN - Vietnam 970
HK - Hong Kong 476
DE - Germania 418
FR - Francia 273
KR - Corea 232
BD - Bangladesh 225
IN - India 225
BR - Brasile 214
FI - Finlandia 132
RU - Federazione Russa 130
NL - Olanda 126
IE - Irlanda 124
JP - Giappone 123
SE - Svezia 110
TR - Turchia 105
CA - Canada 79
CI - Costa d'Avorio 79
TG - Togo 64
JO - Giordania 60
ID - Indonesia 56
BG - Bulgaria 51
AR - Argentina 49
ZA - Sudafrica 48
TW - Taiwan 44
CH - Svizzera 35
PH - Filippine 34
ES - Italia 33
UA - Ucraina 31
AT - Austria 30
BE - Belgio 27
IQ - Iraq 27
PL - Polonia 24
MX - Messico 23
TH - Thailandia 20
EE - Estonia 18
PK - Pakistan 18
HR - Croazia 16
IL - Israele 16
MY - Malesia 16
RO - Romania 14
EC - Ecuador 13
SA - Arabia Saudita 13
SC - Seychelles 13
IR - Iran 12
PT - Portogallo 10
AU - Australia 9
CL - Cile 9
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
TT - Trinidad e Tobago 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
PE - Perù 3
PS - Palestinian Territory 3
QA - Qatar 3
TN - Tunisia 3
BW - Botswana 2
CR - Costa Rica 2
HN - Honduras 2
JM - Giamaica 2
KG - Kirghizistan 2
KH - Cambogia 2
KZ - Kazakistan 2
LU - Lussemburgo 2
LY - Libia 2
MD - Moldavia 2
NG - Nigeria 2
NI - Nicaragua 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
CW - ???statistics.table.value.countryCode.CW??? 1
Totale 16.297
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Città #
Singapore 1.254
Southend 992
Dallas 477
Ashburn 463
Hefei 440
Hong Kong 430
San Jose 366
Santa Clara 366
Bologna 365
Chandler 304
Fairfield 281
Ho Chi Minh City 247
Hanoi 216
Seoul 194
Wilmington 189
Beijing 158
Woodbridge 145
Boardman 132
Cambridge 132
Seattle 130
Houston 127
Ann Arbor 122
Dublin 121
Princeton 114
Los Angeles 106
Milan 101
Tokyo 95
Helsinki 88
Lauterbourg 83
Istanbul 81
New York 81
Abidjan 79
Buffalo 65
Lomé 64
Redmond 63
Amman 59
Chicago 52
Rome 52
Council Bluffs 51
Sofia 50
Da Nang 48
Dong Ket 47
Medford 45
Berlin 41
Frankfurt am Main 41
Guangzhou 41
Bengaluru 40
Westminster 40
Redondo Beach 39
Amsterdam 38
Jakarta 38
Shanghai 38
Nanjing 37
Munich 33
Florence 32
Jinan 30
Paris 28
Redwood City 28
Lappeenranta 27
Taipei 27
Haiphong 26
Nuremberg 26
Shenyang 26
Padova 25
Brussels 23
Cesena 23
Des Moines 23
Montreal 23
Reggio Emilia 23
São Paulo 23
Turin 23
Atlanta 21
Rimini 21
San Diego 21
Toronto 20
Changsha 19
Hyderabad 19
London 19
Modena 19
Ravenna 19
Falkenstein 18
Orem 18
The Dalles 18
Phoenix 17
Saint Petersburg 17
Falls Church 16
Forlì 16
Hebei 16
Tianjin 16
Turku 16
Vienna 16
Xi'an 16
Imola 15
Wuhan 14
Kuala Lumpur 13
Mexico City 13
Zhengzhou 13
Chengdu 12
Hải Dương 12
Jiaxing 12
Totale 10.419
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Nome #
A computer vision approach based on deep learning for the detection of dairy cows in 2 free stall barn 539
Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation 306
Distilled semantics for comprehensive scene understanding from videos 293
Monocular Depth Perception on Microcontrollers for Edge Applications 278
Beyond the Baseline: 3D Reconstruction of Tiny Objects with Single Camera Stereo Robot 275
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation 265
Metodo per determinare la profondità da immagini mediante apprendimento auto-adattivo di una rete neurale e relativo sistema 247
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey 239
Continual Adaptation for Deep Stereo 238
The Monocular Depth Estimation Challenge 226
Energy-Quality Scalable Monocular Depth Estimation on Low-Power CPUs 226
ScanNeRF: a Scalable Benchmark for Neural Radiance Fields 218
Self-adapting confidence estimation for stereo 211
Booster: A Benchmark for Depth From Images of Specular and Transparent Surfaces 209
Generative Adversarial Networks for unsupervised monocular depth prediction 207
Enabling Image-Based Streamflow Monitoring at the Edge 206
Unsupervised Domain Adaptation for Depth Prediction from Images 204
Unsupervised Adaptation for Deep Stereo 202
Confidence Estimation for ToF and Stereo Sensors and Its Application to Depth Data Fusion 200
Method for determining the confidence of a disparity map through a self-adaptive learning of a neural network, and sensor system thereof 193
Real-time self-adaptive deep stereo 192
Real-Time Single Image Depth Perception in the Wild with Handheld Devices 190
Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired 189
Learning end-to-end scene flow by distilling single tasks knowledge 188
Deep stereo fusion: Combining multiple disparity hypotheses with deep-learning 186
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction 185
A Survey on Deep Stereo Matching in the Twenties 181
COMPUTER VISION IDENTIFICATION AND POSITION DETECTION OF FRIESIAN COWS 181
Metodo di determinazione della profondità da immagini e relativo sistema 178
Beyond local reasoning for stereo confidence estimation with deep learning 177
On the confidence of stereo matching in a deep-learning era: a quantitative evaluation 172
CompletionFormer: Depth Completion with Convolutions and Vision Transformers 171
NTIRE 2023 Challenge on HR Depth From Images of Specular and Transparent Surfaces 169
Learning confidence measures in the wild 169
Learning monocular depth estimation infusing traditional stereo knowledge 166
Learning from scratch a confidence measure 165
Efficient confidence measures for embedded stereo 165
Enabling monocular depth perception at the very edge 165
Quantitative Evaluation of Confidence Measures in a Machine Learning World 163
Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching 162
Depth Self-Supervision for Single Image Novel View Synthesis 161
RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation 161
A wearable mobility aid for the visually Impaired based on embedded 3D vision and deep learning 161
TemporalStereo: Effcient Spatial-Temporal Stereo Matching Network 159
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
Sparsity Agnostic Depth Completion 154
A Cascade Dense Connection Fusion Network for Depth Completion 153
Geometry meets semantic for semi-supervised monocular depth estimation 153
Monitoring Social Distancing With Single Image Depth Estimation 153
Improving the reliability of 3D people tracking system by means of deep-learning 152
On-Site Adaptation for Monocular Depth Estimation with a Static Camera 151
On the Uncertainty of Self-Supervised Monocular Depth Estimation 149
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes 148
A passive RGBD sensor for accurate and real-time depth sensing self-contained into an FPGA 148
Multi-View Guided Multi-View Stereo 147
The Second Monocular Depth Estimation Challenge 147
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor 145
Active Stereo Without Pattern Projector 145
Lightweight Self-Supervised Depth Estimation with few-beams LiDAR Data 143
Contrastive Learning for Depth Prediction 142
Even More Confident Predictions with Deep Machine-Learning 142
Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions 139
Real-Time Self-Supervised Monocular Depth Estimation Without GPU 139
Learning Depth Estimation for Transparent and Mirror Surfaces 136
Good cues to learn from scratch a confidence measure for passive depth sensors 135
On the deployment of out-of-the-box embedded devices for self-powered river surface flow velocity monitoring at the edge 135
Neural Disparity Refinement for Arbitrary Resolution Stereo 135
Towards real-time unsupervised monocular depth estimation on CPU 132
Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry 131
Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms 131
Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps 129
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces 127
LiDAR-Event Stereo Fusion with Hallucinations 126
Unsupervised confidence for LiDAR depth maps and applications 126
Depth super-resolution from explicit and implicit high-frequency features 119
NeRF-Supervised Deep Stereo 118
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer 116
Open Challenges in Deep Stereo: the Booster Dataset 116
Drive with the Flow 115
Real-Time Semantic Stereo Matching 111
Neural Disparity Refinement 110
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions 110
Guided stereo matching 108
Learning optical flow from still images 108
Leveraging confident points for accurate depth refinement on embedded systems 106
Depth Restoration in Under-Display Time-of-Flight Imaging 103
The Third Monocular Depth Estimation Challenge 100
Cross-Spectral Neural Radiance Fields 99
Sensor-guided optical flow 98
Matching-space Stereo Networks for Cross-domain Generalization 91
Exploring Few-Beam LiDAR Assistance in Self-Supervised Multi-Frame Depth Estimation 85
RGB Guided ToF Imaging System: A Survey of Deep Learning-Based Methods 85
Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization 78
Self-supervised depth super-resolution with contrastive multiview pre-training 70
TRICKY 2025 Challenge on Monocular Depth from Images of Specular and Transparent Surfaces 69
Federated Online Adaptation for Deep Stereo 69
Lightstereo: Channel Boost is All You Need for Efficient 2D Cost Aggregation 66
Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs 65
Range-Agnostic Multi-View Depth Estimation with Keyframe Selection 62
Totale 15.923
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Categoria #
all - tutte 47.944
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 47.944
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021220 0 0 0 0 0 0 0 0 0 0 0 220
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
2025/20267.301 518 772 1.013 543 666 328 662 256 1.103 523 520 397
Totale 16.741