- 2주에 한번, 화요일 저녁.
- 교재 :
PART I
- 2015년 7월 7일 ~
| 회차 | 일시 | 내용 | 발표자 | 발표자료 |
|---|---|---|---|---|
| 1 | 7/7 | (지각심리)1.Introductin to Perception(1) | 김덕태 | |
| (CVPy)1.Basic Image Handling and Processing | 송근창 | 발표자료 | ||
| (CVMetrics)1.Image Capture and Representation | 김덕태 | |||
| (DeepCV)Intro to Computer Vision | 김무성 | 발표자료 | ||
| 2 | 7/21 | (CVMetrics) : 1: Image Capture and Representation | 김덕태 | |
| (DeepCV) : Image classification, data-driven approach, k-nearest neighbor | 이재황 | |||
| 3 | 8/4 | (지각심리) 2. The Beginnings of Perception | 박성영 | |
| (CVPy) 2. Local Image Descriptors | 김무성 | |||
| (DeepCV) Linear classification: SVM/Softmax | 최홍용 | |||
| (지각심리) 1. Introductin to Perception (2) | 김덕태 | |||
| 4 | 8/18 | (CVPy) 3. Image to Image Mappings | 한태규 | |
| (CVMetrics) 2. Image Pre-Processing | ||||
| (DeepCV) Optimization, higher-level representations, image features | ||||
| 5 | 9/1 | (지각심리) 3. Neural Processing and Perception | 송숙영 | |
| (CVPy) 4. Camera Models and Augmented Reality | ||||
| (DeepCV) Introduction to Neural Networks, backpropagation | 김무성 | |||
| 6 | 9/15 | (CVPy) 5. Multiple View Geometry | 박정환 | |
| (CVMetrics) 3. Global and Regional Features | 한태규 | |||
| (DeepCV) Getting Neural Networks to work: cross-validation process, optimization, debugging | ||||
| 7 | 9/29 | (지각심리) 4. Cortical Organization | 김영주 | |
| (CVPy) 6. Clustering Images | ||||
| (DeepCV) Convolutional Neural Networks: architectures, convolution / pooling layers | 박경원 | |||
| 8 | 10/13 | (지각심리) 5. Perceiving Objects and Scenes | ||
| (CVMetrics) 4: Local Feature Design Concepts, Classification, and Learning | ||||
| (CVPy) 7. Searching Images |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent