WESTFECHTEL THOMAS ウェストフェクテルトーマス

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Westfechtel Thomas ウェストフェクテルトーマス

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Researcher Number	30896551
Other IDs
Affiliation (Current)	2026: 東京大学, 先端科学技術研究センター, 助教
Affiliation (based on the past Project Information) *help	2021 – 2024: 東京大学, 先端科学技術研究センター, 特任助教
Review Section/Research Field	Principal Investigator Basic Section 61030:Intelligent informatics-related
Keywords	Principal Investigator Machine Intelligence / Machine Learning / Vision-Language Model / Domain Adaptation

Research Projects
(1 results)
Research Products
(11 results)

Research on Unsupervised Domain Adaptation to Reduce Labelling CostsPrincipal Investigator
- Principal Investigator
  
  Westfechtel Thomas
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  The University of Tokyo

All 2025 2024 2023 2022

All Journal Article Presentation

[Journal Article] Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation Through Strong-Weak Guidance2025
- Author(s)
  Westfechtel Thomas、Zhang Dexuan、Harada Tatsuya
- Journal Title
  
  Winter Conference on Applications of Computer Vision
  
  Volume: - Pages: 6528-6537
- DOI
  10.1109/wacv61041.2025.00636
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Journal Article] Offline Deep Reinforcement Learning for Visual Distractions via Domain Adversarial Training2024
- Author(s)
  Jen-Yen Chang, Thomas Westfechtel, Takayuki Osa, Tatsuya Harada
- Journal Title
  
  Transactions on Machine Learning Research
  
  Volume: -
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Journal Article] Open-Set Domain Adaptation via Joint Error Based Multi-class Positive and Unlabeled Learning2024
- Author(s)
  Zhang Dexuan、Westfechtel Thomas、Harada Tatsuya
- Journal Title
  
  European Conference on Computer Vision
  
  Volume: - Pages: 105-120
- DOI
  10.1007/978-3-031-73464-9_7
- ISBN
  9783031734632, 9783031734649
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Journal Article] Self-Stitching: Widely Applicable and Efficient Transfer Learning Using Stitching Layer2024
- Author(s)
  Tanachai Anakewat, YUSUKE Mukuta, Thomas Westfechtel, Tatsuya Harada
- Journal Title
  
  NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning
  
  Volume: -
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Journal Article] Unsupervised domain adaptation via minimized joint error2023
- Author(s)
  Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada
- Journal Title
  
  Transactions on Machine Learning Research
  
  Volume: 6
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Journal Article] Deep learning increases the availability of organism photographs taken by citizens in citizen science programs.2022
- Author(s)
  Suzuki-Ohno Y, Westfechtel T, Yokoyama J, Ohno K, Nakashizuka T, Kawata M, Okatani T.
- Journal Title
  
  Scientific Reports
  
  Volume: 12.1 Pages: 1-10
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K17799
[Presentation] Gradual source domain expansion for unsupervised domain adaptation2024
- Author(s)
  Thomas Westfechtel
- Organizer
  IEEE/CVF Winter Conference on Applications of Computer Vision
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Presentation] Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment2023
- Author(s)
  Thomas Westfechtel, Hao-Wei Yeh, Qier Meng, Yusuke Mukuta, Tatsuya Harada
- Organizer
  IEEE/CVF Winter Conference on Applications of Computer Vision
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Presentation] Boosting Source free Domain Adaptation via Confidence based Subsets Feature2022
- Author(s)
  HaoWei Yeh, Thomas Westfechtel, JiaBin Huang, Tatsuya Harada
- Organizer
  International Conference on Pattern Recognition
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Presentation] Boosting Source-free Domain Adaptation via Confidence-based Subsets Feature2022
- Author(s)
  Hao-Wei Yeh, Thomas Westfechtel, Jia-Bin Huang, Tatsuya Harada
- Organizer
  International Conference on Pattern Recognition
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799
[Presentation] Unsupervised Hierarchical Disentanglement for Video Prediction2022
- Author(s)
  Mohammad Reza Motallebi, Thomas Westfechtel, Yang Li, Tatsuya Harada
- Organizer
  International Conference on Pattern Recognition
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17799

WESTFECHTEL THOMAS ウェストフェクテル トーマス

Westfechtel Thomas ウェストフェクテル トーマス

Research Projects

Research Products

Research on Unsupervised Domain Adaptation to Reduce Labelling CostsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation Through Strong-Weak Guidance2025

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Offline Deep Reinforcement Learning for Visual Distractions via Domain Adversarial Training2024

Author(s)

Journal Title

Data Source

[Journal Article] Open-Set Domain Adaptation via Joint Error Based Multi-class Positive and Unlabeled Learning2024

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Self-Stitching: Widely Applicable and Efficient Transfer Learning Using Stitching Layer2024

Author(s)

Journal Title

Data Source

[Journal Article] Unsupervised domain adaptation via minimized joint error2023

Author(s)

Journal Title

Data Source

[Journal Article] Deep learning increases the availability of organism photographs taken by citizens in citizen science programs.2022

Author(s)

Journal Title

Data Source

[Presentation] Gradual source domain expansion for unsupervised domain adaptation2024

Author(s)

Organizer

Data Source

[Presentation] Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment2023

Author(s)

Organizer

Data Source

[Presentation] Boosting Source free Domain Adaptation via Confidence based Subsets Feature2022

Author(s)

Organizer

Data Source

[Presentation] Boosting Source-free Domain Adaptation via Confidence-based Subsets Feature2022

Author(s)

Organizer

Data Source

[Presentation] Unsupervised Hierarchical Disentanglement for Video Prediction2022

Author(s)

Organizer

Data Source

WESTFECHTEL THOMAS ウェストフェクテルトーマス

Westfechtel Thomas ウェストフェクテルトーマス