ECEA0649 / ECE40049
Handong Global University
Instructor: Kihyun Na (Research Professor)
This course covers the fundamentals and recent advances in deep learning for image processing. Topics range from CNNs and Transformers to foundation models, diffusion models, vision-language models, and embodied AI.
Course Website: https://levinna.github.io/dlip-2026
- Weeks 1–7: Foundational lectures (CNN, Sequence Modeling, Transformer, Transformer in Vision, Detection/Segmentation, SSL)
- Week 8: Review literacy and paper presentation roles
- Weeks 9–15: Topic lectures + student-led paper presentations
- Week 16: Miniconference (final project presentations)
Course materials draw inspiration from the following open resources:
- Stanford CS231n — Fei-Fei Li, Ehsan Adeli, et al.
- UMich EECS 498/598 — Justin Johnson
- MIT 6.8300 — Vincent Sitzmann
- MIT 6.7960 — Phillip Isola, Sara Beery, Jeremy Bernstein
- CMU 16-824 — Jun-Yan Zhu
© 2026 Kihyun Na, Handong Global University. Course materials are provided for educational purposes.