Thanasis Zoumpekas

11 papers B 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation.
CoRR
Umair Haroon, Ahmad AlMughrabi, Thanasis Zoumpekas, Ricardo Marques, Petia Radeva
2024 J jnl
Machining tool identification utilizing temporal 3D point clouds.
J. Intell. Manuf.
Thanasis Zoumpekas, Alexander Leutgeb, Anna Puig, Maria Salamó
2022 — conf
CLOSED: A Dashboard for 3D Point Cloud Segmentation Analysis using Deep Learning.
VISIGRAPP (4: VISAPP)
Thanasis Zoumpekas, Guillem Molina, Anna Puig, Maria Salamó
2022 B conf
Effective Early Stopping of Point Cloud Neural Networks.
MDAI
Thanasis Zoumpekas, Maria Salamó, Anna Puig
2022 J jnl
Effective Early Stopping of Point Cloud Neural Networks.
CoRR
Thanasis Zoumpekas, Maria Salamó, Anna Puig
2022 J jnl
Machine Learning-Based Rockfalls Detection with 3D Point Clouds, Example in the Montserrat Massif (Spain).
Remote. Sens.
Laura Blanco Nuñez, David García-Sellés, Marta Guinau, Thanasis Zoumpekas, Anna Puig, Maria Salamó, Oscar Gratacós, Josep Anton Muñoz, Marc Janeras, Oriol Pedraza
2022 J jnl
Rethinking Design and Evaluation of 3D Point Cloud Segmentation Models.
Remote. Sens.
Thanasis Zoumpekas, Maria Salamó, Anna Puig
2021 J jnl
An intelligent framework for end-to-end rockfall detection.
Int. J. Intell. Syst.
Thanasis Zoumpekas, Anna Puig, Maria Salamó, David García-Sellés, Laura Blanco Nuñez, Marta Guinau
2021 — conf
Benchmarking Deep Learning Models on Point Cloud Segmentation.
CCIA
Thanasis Zoumpekas, Guillem Molina, Maria Salamó, Anna Puig
2021 J jnl
End-to-End Intelligent Framework for Rockfall Detection.
CoRR
Thanasis Zoumpekas, Anna Puig, Maria Salamó, David García-Sellés, Laura Blanco Nuñez, Marta Guinau
2020 J jnl
ETH analysis and predictions utilizing deep learning.
Expert Syst. Appl.
Thanasis Zoumpekas, Elias N. Houstis, Manolis Vavalis