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- 2025
-
Mark
Dynamic Category Queries Transformer for Generalized Few-shot Semantic Segmentation
(2025) 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
- Contribution to journal › Article
- 2024
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Mark
GCC-PHAT Re-Imagined - A U-Net Filter for Audio TDOA Peak-Selection
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
-
Mark
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets
(2023) 5th IEEE International Conference on Artificial Intelligence Testing, AITest 2023 In Proceedings - 5th IEEE International Conference on Artificial Intelligence Testing, AITest 2023 p.74-81
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
-
Mark
Pelvic U-Net : multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
- Contribution to journal › Article
-
Mark
Data-Efficient Learning of Semantic Segmentation
- Thesis › Doctoral thesis (compilation)
- 2021
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Mark
Reinforcement Learning for Active Visual Perception
(2021)
- Thesis › Doctoral thesis (compilation)
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Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
(2021) European Society Radiation Oncology 2021 In Radiotherapy and Oncology 161(Suppl 1). p.1417-1418
- Contribution to journal › Published meeting abstract
- 2014
-
Mark
Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition
- Contribution to journal › Article
