关注
Marco Carletti
Marco Carletti
Università degli Studi di Verona
在 univr.it 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Recognition self-awareness for active object recognition on depth images
A Roberti, M Carletti, F Setti, U Castellani, P Fiorini, M Cristani
British Machine Vision Conference, 2018
102018
Active 3d classification of multiple objects in cluttered scenes
Y Wang, M Carletti, F Setti, M Cristani, A Del Bue
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
92019
Understanding Deep Architectures by Visual Summaries
M Godi, M Carletti, M Aghaei, F Giuliari, M Cristani
British Machine Vision Conference, 2018
7*2018
Estimating Body Fat from Depth Images: Hand-Crafted Features vs Convolutional Neural Networks
M Carletti, M Cristani, V Cavedon, C Milanese, C Zancanaro, A Giachetti
3DBODY.TECH Conference & Expo, 2018
52018
Analyzing body fat from depth images
M Carletti, M Cristani, V Cavedon, C Milanese, C Zancanaro, A Giachetti
2018 International Conference on 3D Vision (3DV), 418-425, 2018
42018
A Robust Particle Filtering Approach with Spatially-dependent Template Selection for Medical Ultrasound Tracking Applications.
M Carletti, D Dall'Alba, M Cristani, P Fiorini
VISIGRAPP (3: VISAPP), 524-533, 2016
42016
6d pose estimation for industrial applications
F Cunico, M Carletti, M Cristani, F Masci, D Conigliaro
New Trends in Image Analysis and Processing–ICIAP 2019: ICIAP International …, 2019
22019
Saliency-based approaches for multidimensional explainability of deep networks
M Carletti
2020
Robust 3D pose estimation of a laparoscopic instrument with three landmarks
M Carletti, D Zerbato, A Calanca, P Fiorini
STAG, 7-14, 2015
2015
Multiscale modelling of surfaces by profilometry based on conoscopic holography
C Daffara, F Monti, M Carletti, P Fiorini, R Fontana
2013 Optical Metrology-Technical Summary, 83-83, 2013
2013
Gehler, Peter 484 Giachetti, Andrea 418 Giles, Lee 542 Goldman, Dan 578
VF Abrevaya, S Achar, L Agapito, E Ahmed, SA Ali, T Alldieck, I Alzugaray, ...
系统目前无法执行此操作，请稍后再试。
文章 1–11
共建清朗的网络空间,如遇有害信息,请举报。
本站数据皆整合自互联网公开资源索引,方便科研学术方面查询,并不存储相关数据资源;如对此有异议,请联系我们解决.
© 2023 学术资源搜索   @联系我们 | 申请短期会员 | 数据源提交