2023  Image Understanding

      ** Teaching Assistant: 杨彬鑫 Binxin Yang, tennyson@mail.ustc.edu.cn；程恺 Kai Cheng, chengkai21@mail.ustc.edu.cn

      ** QQ Group: 607806599 (All slides will be uploaded and notification will be published here)

1)  Readings

      Richard Szeliski, Computer Vision: Algorithms and Applications (https://szeliski.org/Book)

 

2)  Computer Vision Courses

[1] Steve Seitz, Rick Szeliski, and Harpreet Sawhney, CS567 - Introduction to Computer Vision at University of Washington (2020, 2008, 2005)

[2] Noah Snavely's CS5670 - Introduction to Computer Vision class at Cornell Tech (Spring 2022)

[3] Bill Freeman, Antonio Torralba, and Phillip Isola's 6.819/6.869: Advances in Computer Vision class at MIT (Spring 2021)

[4] Yann LeCun and Alfredo Canziani's DS-GA 1008: Deep Learning class at NYU (Spring 2021)

[5] Yasutaka Furukawa's CMPT 762 - Computer Vision class at Simon Fraser University (Spring 2021)

[6] Luiz Velho's Fundamentals and Trends in Vision and Image Processing class at IMPA (Spring 2021)

[7] David Fouhey's and Justin Johnson's EECS 442: Computer Vision class at the University of Michigan (Winter 2021)

[8] Justin Johnson's EECS 498-007 / 598-005: Deep Learning for Computer Vision class at the University of Michigan (Fall 2020)

[9] Alyosha Efros' CS194-26/294-26: Intro to Computer Vision and Computational Photography class at Berkeley (Fall 2020)

[10] Ioannis Gkioulekas's 15-463, 15-663, 15-862 Computational Photography class at CMU (Fall 2020); 16-385 Computer Vision class at CMU (Spring 202-)

[11] UC Berkeley's CS294-158-SP20: Deep Unsupervised Learning class (Spring 2020)

[12] Scott Wehrwein's CSCI 497P/597P - Introduction to Computer Vision class at Western Washington University (Spring 2020)

[13] Andrew Owens' EECS 504: Foundations of Computer Vision class at the University of Michigan (Winter 2020)

[14] Frank Dellaert's CS 4476 Introduction to Computer Vision class at Georgia Tech (Fall 2019)

[15] Pascal Fua's CS-442 Introduction to Computer Vision class at EPFL (Spring 2019)

[17] Alyosha Efros, Jitendra Malik, and Stella Yu's CS280: Computer Vision class at Berkeley (Spring 2018)

[18] Deva Ramanan's 16-720 Computer Vision class at CMU (Spring 2017)

[19] Trevor Darrell's CS 280 Computer Vision class at Berkeley

 

3)  Calendar  

 

Chapter 1: Introduction	ppt;			note
Chapter 2: Image Formation	ppt;
Chapter 3: Neural Rendering & NeRF	ppt;
Chapter 4.1: Feature Detection and Matching	Feature detection ppt; SIFT feature     ppt Feature matching ppt	Project 1 Features		Test on Oct. Due to Oct.
Chapter 4.2 : Edge, line	ppt;
Chapter 5: Segmentation	Segmentation Algorithms ppt Graph-Based Segmentation ppt GrabCut; PhotoPopup;
Chapter 9: Image Stitching	Stitching: Motion models ppt Image Stitching and blending ppt Panoramas ppt; Poisson Image Editing ppt; Drag-and-Drop ppt;	Project 2 Panorama		Test on Nov Due to Nov.
Chapter 14: Recognition	Object Recognition Intro ppt Face Detection Survey ppt Robust Real-time Face Detection ppt Face Recognition ppt	Project 3 Eigenfaces		Test on Dec Due to Dec
	Object Categorization intro Bag of Visual words  ppt Part-based model  ppt Context    ppt Categorization & Segmentation ppt Large scale image retrieval ppt   Convolutional Neural Networks Detection Networks Semantic Segmentation 3D DNN Generative Adversarial Networks
	Final projects can be any topic related to computer vision A survey with comparison experiments or Improvement on a state-of-the-art algorithm Build a group with 2-4 members, introduce your idea in 8-10 mins presentation	Final Projects		Presentation in Dec Due date Jan. 18