Sotirios A. Tsaftaris

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Andrei Dobrescu

> Home > Persons > Sotirios A. Tsaftaris

Publications

2019
[c51]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/GiuffridaDDT19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/GiuffridaDDT19
Mario Valerio Giuffrida, Andrei Dobrescu, Peter Doerner, Sotirios A. Tsaftaris:
Leaf Counting Without Annotations Using Adversarial Unsupervised Domain Adaptation. CVPR Workshops 2019: 2590-2599
[c50]
- view
  authority control:
- export record
  dblp key:
  - conf/cvpr/DobrescuGT19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/DobrescuGT19
Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Understanding Deep Neural Networks for Regression in Leaf Counting. CVPR Workshops 2019: 2600-2608
2017
[c39]
- view
  authority control:
- export record
  dblp key:
  - conf/iccvw/DobrescuGT17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccvw/DobrescuGT17
Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Leveraging Multiple Datasets for Deep Leaf Counting. ICCV Workshops 2017: 2072-2079
[i3]
- view
  - electronic edition @ arxiv.org (open access)
  - references & citations
- export record
  dblp key:
  - journals/corr/abs-1709-01472
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1709-01472
Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A. Tsaftaris:
Leveraging multiple datasets for deep leaf counting. CoRR abs/1709.01472 (2017)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.