Orientation network
Detect an oriented bounding box aligned with an animal’s body.
Posts by Collection
portfolio
Re-identification network
Re-identification of wild animals based on natural markings.
publications
Learning geometric equivalence between patterns using embedding neural networks
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).
Robust re-identification of manta rays from natural markings by learning pose invariant embeddings
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).
Learning Landmark Guided Embeddings for Animal Re-identification
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
- WACV is the premier international computer vision conference with rating A.
Keypoint-aligned embeddings for image retrieval and re-identification
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.
- WACV is the premier international computer vision conference with rating A.
Semi-supervised keypoint localization
Olga Moskvyak, Frederic Maire, Feras Dayoub & Mahsa Baktashmotlagh (2021). "Semi-supervised keypoint localization." In Proc. International Conference on Learning Representations (ICLR).
- ICLR is a top-3 publication venue in Engineering and Computer Science and top-17 among all scientific publication venues with h-index 203 (203 ICLR papers have gathered more than 203 citations in the last 5 years). ICLR is a top-tier conference with CORE rating A*.
Going Deeper into Semi-supervised Person Re-identification
Olga Moskvyak, Frederic Maire, Feras Dayoub & Mahsa Baktashmotlagh (2021). "Going Deeper into Semi-supervised Person Re-identification." Arxiv preprint, In Review.
Learning from limited annotated data for re-identification problem
Olga Moskvyak, PhD Thesis (2021). "Learning from limited annotated data for re-identification problem."
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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