SPEZIALETTI, RICCARDO
 Distribuzione geografica
Continente #
NA - Nord America 71
EU - Europa 69
AS - Asia 57
SA - Sud America 2
Totale 199
Nazione #
US - Stati Uniti d'America 67
IT - Italia 38
CN - Cina 26
JP - Giappone 14
FR - Francia 11
HK - Hong Kong 9
BG - Bulgaria 6
CA - Canada 4
DE - Germania 4
TW - Taiwan 4
IE - Irlanda 3
GB - Regno Unito 2
HU - Ungheria 2
SG - Singapore 2
AT - Austria 1
BR - Brasile 1
CH - Svizzera 1
CO - Colombia 1
IL - Israele 1
SA - Arabia Saudita 1
SE - Svezia 1
Totale 199
Città #
Ashburn 26
Bologna 23
Sofia 6
Tokyo 6
Chicago 5
Central 4
Seattle 4
Dublin 3
Hangzhou 3
Kofu 3
Montreal 3
Paris 3
Tappahannock 3
Boardman 2
Budapest 2
Buffalo 2
Los Angeles 2
Shanghai 2
Singapore 2
Taipei 2
Trento 2
Atlanta 1
Aubervilliers 1
Bogotá 1
Cambridge 1
Carate Brianza 1
Cattolica 1
Cedar Knolls 1
Council Bluffs 1
Curitiba 1
Edison 1
Florence 1
Fremont 1
Grenoble 1
Guangzhou 1
Haifa 1
Houston 1
London 1
Manchester 1
Marion 1
Milan 1
Mordano 1
New Taipei 1
New York 1
Oklahoma City 1
Philadelphia 1
Phoenix 1
Princeton Junction 1
Providence 1
Santa Clara 1
Shenzhen 1
Umeå 1
Vicchio 1
Vienna 1
Wanchai 1
Écublens 1
Totale 143
Nome #
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds, file 9ce8de4e-6d27-45c2-bffc-0115ca69cae8 106
Self-Distillation for Unsupervised 3D Domain Adaptation, file d4e3aa2a-7f06-4cff-90e0-dcf8bc76e3d9 29
3D Local Descriptors—from Handcrafted to Learned, file 4cc23bcb-5b32-412b-8600-351788c7c027 24
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation, file 54483f4e-aa71-4912-bce1-9f3a70e2db40 12
Deep Learning on Implicit Neural Representations of Shapes, file 81bd1bc0-2bf0-4a5a-8a5a-6c32fbb19918 5
Gframes: Gradient-based local reference frame for 3D shape matching, file e1dcb334-7e42-7715-e053-1705fe0a6cc9 5
Boosting Multi-Modal Unsupervised Domain Adaptation for LiDAR Semantic Segmentation by Self-Supervised Depth Completion, file bd6069a3-ce18-4db0-9eb1-29ad05ed5458 4
Performance Evaluation of 3D Descriptors Paired with Learned Keypoint Detectors, file fae97bd5-eb77-4589-9df2-5359c149421b 4
Performance evaluation of learned 3D features, file e1dcb334-7944-7715-e053-1705fe0a6cc9 3
Learning to Orient Surfaces by Self-supervised Spherical CNNs, file a26d381a-4c25-4fa5-bc32-c731dd446053 2
null, file e1dcb330-9b0e-7715-e053-1705fe0a6cc9 2
Unsupervised Learning of Local Equivariant Descriptors for Point Clouds, file 33080d4b-37bb-4c7a-91de-e9d64969f965 1
Boosting Object Recognition in Point Clouds by Saliency Detection, file e1dcb334-7be9-7715-e053-1705fe0a6cc9 1
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain Adaptation, file e1dcb339-3122-7715-e053-1705fe0a6cc9 1
Totale 199
Categoria #
all - tutte 565
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 565


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20212 0 1 0 0 0 1 0 0 0 0 0 0
2021/20221 0 0 0 0 1 0 0 0 0 0 0 0
2022/202362 0 0 1 4 2 1 10 3 14 10 3 14
2023/2024134 10 10 7 11 5 20 37 21 11 0 2 0
Totale 199