Zobrazeno 1 - 10
of 1 473
pro vyhledávání: '"Camporese A"'
Autor:
de Melo F, Nicolau P, Piovano L, Lin SL, Baptista-Fernandes T, King MI, Camporese A, Hong KK, Khattar MM, Christen MO
Publikováno v:
Clinical, Cosmetic and Investigational Dermatology, Vol Volume 10, Pp 431-440 (2017)
Francisco de Melo,1 Pierre Nicolau,2 Luca Piovano,3 Shang-Li Lin,4 Tiago Baptista-Fernandes,5 Martyn I King,6 Alessandra Camporese,7 Kyungkook Hong,8 Maria M Khattar,9 Marie-Odile Christen10 1Zo Skin Centre, Dubai, United Arab Emirates; 2Clinica Dr P
Externí odkaz:
https://doaj.org/article/e16c9fabeb344e36a40d62404e937f57
Early action recognition is an important and challenging problem that enables the recognition of an action from a partially observed video stream where the activity is potentially unfinished or even not started. In this work, we propose a novel model
Externí odkaz:
http://arxiv.org/abs/2312.06598
Long-term trajectory forecasting is an important and challenging problem in the fields of computer vision, machine learning, and robotics. One fundamental difficulty stands in the evolution of the trajectory that becomes more and more uncertain and u
Externí odkaz:
http://arxiv.org/abs/2305.08553
Human intention prediction is a growing area of research where an activity in a video has to be anticipated by a vision-based system. To this end, the model creates a representation of the past, and subsequently, it produces future hypotheses about u
Externí odkaz:
http://arxiv.org/abs/2210.14714
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Alluvial aquifers often exhibit highly conductive embedded formations that can act as preferential pathways for the transport of solutes. In this context, a detailed subsurface characterization becomes crucial for an effective monitoring of
Externí odkaz:
https://doaj.org/article/df5a0d4a66c640aa864739f11bbb8f0d
Vision Transformers (ViTs) enabled the use of the transformer architecture on vision tasks showing impressive performances when trained on big datasets. However, on relatively small datasets, ViTs are less accurate given their lack of inductive bias.
Externí odkaz:
http://arxiv.org/abs/2206.00481
Multi-modal transformer with language modality distillation for early pedestrian action anticipation
Publikováno v:
In Computer Vision and Image Understanding December 2024 249
Autor:
Pierpaolo Di Micco, Corrado Lodigiani, Lidia Luciana Rota, Giuseppe Camporese, Ida Strina, Carlo Alviggi
Publikováno v:
Italian Journal of Medicine, Vol 18, Iss 2 (2024)
In vitro fertilization (IVF) procedures have been frequently associated with antithrombotic treatment, particularly aspirin or low molecular weight heparin. Historically, this type of treatment has been intended to increase the success rate of IVF wi
Externí odkaz:
https://doaj.org/article/5c643ab6e9da4eca9595f9caef03e31f
Publikováno v:
Frontiers in Water, Vol 6 (2024)
Externí odkaz:
https://doaj.org/article/bb7bf90470e540cb8b09fda8dfa416b4
Action anticipation in egocentric videos is a difficult task due to the inherently multi-modal nature of human actions. Additionally, some actions happen faster or slower than others depending on the actor or surrounding context which could vary each
Externí odkaz:
http://arxiv.org/abs/2109.00829