Announcement
The information of final project is updated. Please check this page for more information.
The online classroom is announced. Please check the google meet link in your email.
Homework 3 Deadline: 5/23 11:59 PM
Midterm: 4/22 14:20 @ R101
Classroom is moved to R101.
Video recordings are now available on YouTube. https://youtube.com/playlist?list=PL_B070_MGQd7LN5P8Z9o_Ik3NI7qdx7e6
Update: Lecture slides and supplementary materials.
The course website is open on 2021/02/25.
3D Computer Vision with Deep Learning Applications
Instructor: Prof. Chu-Song Chen
Time: Thursday 7,8,9(14:20~17:20)
Classroom: CSIE Building R101
Syllabus: here
Prerequisites for taking this course
Ubuntu with Graphical User Interface
Basic knowledge of Python and C++
Basic knowledge of Matrix computations and linear algebra
Experience in at least one the deep learning frameworks. (e.g. PyTorch, Tensorflow, etc.)
(Preferable) GPU for accelerating model training. (There will be at least one homework that relates to deep learning.)
Grading
Homework (3~4 times): 60%
Midterm Exam: 15% (At midterm week)
Final Project: 25%
Teaching Assistant
If you have any questions (office hours), please email 3dcv@csie.ntu.edu.tw.
朱皓 (Hau, Chu) B10532021@gapps.ntust.edu.tw
曾冠維 (Kuan-Wei Tseng) kwtseng@ntu.edu.tw
萬世澤 (Timmy S. T. Wan) r08944004@ntu.edu.tw
李曜至 (Yao-Chih, Lee) r07922002@csie.ntu.edu.tw