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Detect an oriented bounding box aligned with an animal’s body.
Re-identification of wild animals based on natural markings.
Olga Moskvyak & Frederic Maire (2017). "Learning geometric equivalence between patterns using embedding neural networks." In Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA).
Olga Moskvyak, Frederic Maire, Asia O Armstrong, Feras Dayoub & Mahsa Baktashmotlagh (2021). "Robust re-identification of manta rays from natural markings by learning pose invariant embeddings." In Proc. International Conference on Digital Image Computing: Techniques and Applications (DICTA).
Olga Moskvyak, Frederic Maire, Feras Dayoub and Mahsa Baktashmotlagh. (2020). "Learning Landmark Guided Embeddings for Animal Re-identification." In Proc. Winter Conference on Applications of Computer Vision Workshops
Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh. (2021). "Keypoint-aligned embeddings for image retrieval and re-identification." In Proc. Winter Conference on Applications of Computer Vision (WACV). pp. 676-685.
Olga Moskvyak, Frederic Maire, Feras Dayoub & Mahsa Baktashmotlagh (2021). "Semi-supervised keypoint localization." In Proc. International Conference on Learning Representations (ICLR).
Olga Moskvyak, Frederic Maire, Feras Dayoub & Mahsa Baktashmotlagh (2021). "Going Deeper into Semi-supervised Person Re-identification." Arxiv preprint, In Review.
Olga Moskvyak, PhD Thesis (2021). "Learning from limited annotated data for re-identification problem."
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
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Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
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