CSCE 6260 – Advanced Topics in Pattern Recognition and Image Processing

Spring 2026    

---

Basic information:

• Instructor: Heng Fan (heng.fan@unt.edu)
• Office: Discovery Park F284
• Office hours: Wednesday 12:30 - 2:30 pm or by appointment


• Lecture time: Wednesday 2:30 - 5:20 pm
• Classroom: NTDP F285

---

Course description

This is a research-oriented course that aims to provide latest frontiers in computer vision, pat- tern recognition, multimodal learning, large models, and artificial intelligence (AI). It will describe advanced approaches in AI, with a focus on recent topics such as prompt learning, multimodal vision-language learning, multimodal large language models, visual generation, video understand- ing, etc. Through this course, the students are expected to understand and digest various advanced AI topics by extensive in-class paper presentation and discussion.

---

Textbooks

This course does not follow any textbooks closely. However, the following textbooks will be useful for this course:

• Deep Learning, by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, 2016. online version
• Computer Vision: Algorithms and Applications (the second edition), by Rick Szeliski, 2022. online version
• Dive into Deep Learning, by Aston Zhang, Zack C. Lipton, Mu Li, and Alex J. Smola, 2019. online version
  (A lot of examples are provided to practice deep learning.)
• Neural Networks and Deep Learning, by Michael Nielsen, 2019. online version
• Introduction to Deep Learning, by Eugene Charniak, 2019. link

In addition to the textbooks, you're highly encouraged to read more related papers.

---

Schedule (update may be applied)

Date	Topic
Week 1 (1/14)	Review of Basic Tasks in Computer Vision

---

Grading policy

Grading will be based on the following components:

• Paper presentation: 40%
• Paper review: 40%
• In-class discussion: 20%

---