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Computer Vision and stuff Willie Brink Applied Mathematics, - PowerPoint PPT Presentation

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Computer Vision and stuff Willie Brink Applied Mathematics, Stellenbosch University wbrink@sun.ac.za 1/4 Previous work structured light for 3D surface reconstruction in real-time 2/4 Previous work structured light for 3D surface

  1. Computer Vision and stuff Willie Brink Applied Mathematics, Stellenbosch University wbrink@sun.ac.za 1/4

  2. Previous work • structured light for 3D surface reconstruction in real-time 2/4

  3. Previous work • structured light for 3D surface reconstruction in real-time • computer vision in robotics 2/4

  4. Previous work • structured light for 3D surface reconstruction in real-time • computer vision in robotics • probabilistic models for computer vision ⇒ 2/4

  5. More recent work • aerial image analysis for the Great Elephant Census 3/4

  6. More recent work • aerial image analysis for the Great Elephant Census • image identification of Protea species 3/4

  7. More recent work • aerial image analysis for the Great Elephant Census • image identification of Protea species • image analysis of tsetse wings, and fruit fly maggot mouth hooks 3/4

  8. More recent work • aerial image analysis for the Great Elephant Census • image identification of Protea species • image analysis of tsetse wings, and fruit fly maggot mouth hooks • ML for water management 3/4

  9. More recent work • aerial image analysis for the Great Elephant Census • image identification of Protea species • image analysis of tsetse wings, and fruit fly maggot mouth hooks • ML for water management • automating healthcare question answering for MomConnect 3/4

  10. Current interests • vision + language 4/4

  11. Current interests • vision + language • visual representation learning 4/4

  12. Current interests • vision + language • visual representation learning • CV in low-resource settings, and with long tail distributions 4/4

  13. Current interests • vision + language • visual representation learning • CV in low-resource settings, and with long tail distributions • multitask learning | active learning | self-supervised learning 4/4

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