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Vorlesungsverzeichnis >> Technische Fakultät (TF) >>
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Seminar Computer Vision (SemCV)- Dozentinnen/Dozenten
- Anguelos Nicolaou, Ronak Kosti, Ph.D.
- Angaben
- Seminar
4 SWS, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch, This course will be held online until the coronavirus pandemic is contained to such an extent that the Bavarian state government can allow face-to-face teaching again
Zeit und Ort: Di 14:00 - 16:00, 02.134-113
- Studienfächer / Studienrichtungen
- WPF INF-MA ab 1
WPF CE-MA-SEM ab 1
WPF ICT-MA ab 1
- Inhalt
- Seminar Computer Vision (CV) will consist mostly of students presenting Computer Vision scientific literature. This seminar will be designed as a micro-conference where lecturers will be the reviewers/chairs. The seminar follows ‘View Points’ and ‘CV topics’ in parallel. Each CV topic has to be explored at the least on each of the listed view points. So, every presentation on any particular cv topic will assess or evaluate how it fares on each of the view points.
Seminar Requirements: Familiarity with Scientific reading/writing (in English) Familiarity with Image or Signal processing View points: 1. Energy 2. Reproducibility 3. Interpretability 4. Performance Evaluation 5. Model Capacity CV Topics: Image Classification Pixel Classification BBox Regression: Faster RCNN, RetinaNet, etc Keypoint detection, registration Saliency, Attention Captioning Show and tell Image Captioning with Semantic Attention Adversarial Losses (GAN) Variational Auto Encoders (VAE) Adversarial Samples
- Empfohlene Literatur
- Hartley R. and Zisserman A.: "Multiple View Geometry in Computer Vision", Cambridge University Press, 2004
- ECTS-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Schlagwörter: computer vision, pinhole camera model, stereo vision
Erwartete Teilnehmerzahl: 10
www: http://www5.cs.fau.de/lectures/ss-20/seminar-computer-vision-semcv/
- Verwendung in folgenden UnivIS-Modulen
- Startsemester SS 2020:
- Seminar Computer Vision (SemCV)
- Institution: Lehrstuhl für Informatik 5 (Mustererkennung)
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