Computer Vision Path

PCA and Eigenfaces [3]

Foundations of Convolutional Neural Networks

Edge Detection [1]
Padding & Strided [1]
Pooling [1]
Convolutions Over Volume [1]
One Layer of a Convolutional Network [1]
Contrast and brightness correction [2]
Image convolution [2]

CNN Architectures

Classic Networks [1] <AlexNet>
VGG [2]
ResNets [1]
Inception [1]
EfficientNet
Transfer Learning [1]
Data Augmentation [1]

Convolutional features for visual recognition

Fine-grained image recognition [2]
Detection and classification of facial attributes [2]
Content-based image retrieval [2]
Computing semantic image embeddings using convolutional neural networks [2]
Employing indexing structures for efficient retrieval of semantic neighbors [2]
Face verification [2]
The re-identification problem in computer vision [2]
Facial keypoints regression [2]
CNN for key points regression [2]

Object detection

RANSAC [3]
Harris [3]
SIFT [3]
Object Localization [1]
Landmark Detection [1]
Object Detection [1]
Convolutional Implementation of Sliding Windows [1]
Bounding Box Predictions [1]
Intersection Over Union [1]
Non-max Suppression [1]
Anchor Boxes [1]
Classic detectors <HOG, Viola-Jones face> [2]
Attentional cascades [2]
YOLO Algorithm (and state of the art networks such as Single shot detectors <ssd>, faster rcnn, EfficientNet …) [1]

Object tracking and action recognition

Introduction to video analysis [2]
Optical flow [2]
Deep learning in optical flow estimation [2]
Feature tracking [3]
Visual object tracking [2]
Examples of visual object tracking methods [2]
Multiple object tracking [2]
Examples of multiple object tracking methods [2]
Introduction to action recognition [2]
Action classification [2]
Action classification with convolutional neural networks [2]
Action localization [2]

Image segmentation and synthesis

Image segmentation [2]
- Semantic segmentation [3]
- Instance segmentation [3]
Oversegmentation [2]
Deep learning models for image segmentation [2]
Human pose estimation as image segmentation [2]
Style transfer [2]
Generative adversarial networks [2]
Image transformation with neural networks [2]

Visualizing and Understanding

Feature visualization and inversion [2]
Adversarial examples [2]
DeepDream and style transfer [2]

Generative Models

PixelRNN/CNN [3]
Variational Autoencoders [3]
Generative Adversarial Networks [3]

Deep Reinforcement Learning

Policy gradients, hard attention [3]
Q-Learning, Actor-Critic [3]

Metric Learning

Applications

Face recognition & Neural style transfer [1]

References