Machine Perception
Graduate course, Johns Hopkins University, 2024
Full Instructor during Fall 2024 semester.
Details
Credits - 3
Meetings - Mondays, Wednesdays, 12:00-1:15PM, Schaffer 301
Syllabus
| No. | Date | Topic |
|---|---|---|
| 1 | 08/26 | Course overview, Edge detection |
| 2 | 08/28 | Edge detection, (Contd.) |
| 3 | 09/04 | SIFT, HoG |
| 4 | 09/09 | Texture analysis, Dictionaries |
| 5 | 09/11 | Markov Random Fields |
| 6 | 09/16 | Artificial Neural Networks |
| 7 | 09/18 | Gradient descent algorithms, Back propagation |
| 8 | 09/23 | Introduction to PyTorch for Computer vision |
| 9 | 09/25 | Deep convolutional networks: AlexNet, VGG Net, Inception Net, ResNet, and variants for Object recognition |
| 10 | 09/30 | Object detection using R-CNN and extensions. |
| 11 | 10/02 | Face, gait recognition using DCNNs |
| 12 | 10/09 | Transformers |
| 13 | 10/14 | Diffusion Models |
| 14 | 10/16 | GANs |
| 15 | 10/21 | Semantic segmentation using deep learning, Segmentation anything model |
| 16 | 10/23 | Adversarial attacks and defenses |
| 17 | 10/28 | Midterm |
| 18 | 10/30 | Camera models and calibration |
| 19 | 11/04 | Structure from motion, Factorization algorithm for 3D modeling |
| 20 | 11/06 | NeRF for 3D modeling |
| 21 | 11/11 | 3D Gaussian splatting |
| 22 | 11/13 | Binocular stereo |
| 23 | 11/18 | Optical flow |
| 24 | 11/20 | Domain Adaptation |
| 25 | 12/02 | Current research topics |
| 26 | 12/04 | Current research topics |