STEM / applied
Computer vision · Graduate · CS / Programming
Topics
Projects and 3D
- Training pipelines with PyTorch/TensorFlow
- Video understanding and tracking (intro)
- Pose estimation and keypoints (intro)
- NeRF and 3D vision trends (survey)
- Real-time inference on edge devices
Responsible vision
- Fairness in face recognition systems
- Adversarial examples and robustness
- Privacy-preserving vision (intro)
- Medical imaging workflow considerations
- Capstone: Kaggle-style competition project
Pricing
Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.