Course Content
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Day 01 - Module-1 Introduction to image processing and computer vision 0/7
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Short introduction to computer vision CopyLecture1.1
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Digital images CopyLecture1.2
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Structure of human eye and vision CopyLecture1.3
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Color models CopyLecture1.4
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Image processing goals and tasks CopyLecture1.5
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Contrast and brightness correction CopyLecture1.6
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Image convolution CopyLecture1.7
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Module-2 Convolutional features for visual recognition 0/11
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AlexNet, VGG and Inception architecture CopyLecture2.1
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ResNet and beyond CopyLecture2.2
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Fine-grained image recognition CopyLecture2.3
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Detection and classification of facial attributes CopyLecture2.4
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Content-based image retrieval CopyLecture2.5
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Computing semantic image embeddings using convolutional neural networks CopyLecture2.6
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Employing indexing structures for efficient retrieval of semantic neighbors CopyLecture2.7
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Face verification CopyLecture2.8
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The re-identification problem in computer vision CopyLecture2.9
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Facial keypoints regression CopyLecture2.10
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CNN for keypoints regression CopyLecture2.11
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Day 02 - Module-1 Object detection 0/12
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Object detection CopyLecture3.1
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Sliding windows CopyLecture3.2
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HOG-based detector CopyLecture3.3
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Detector training CopyLecture3.4
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Viola-Jones face detector CopyLecture3.5
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Attentional cascades and neural networks CopyLecture3.6
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Region-based convolutional neural network CopyLecture3.7
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From R-CNN to Fast R-CNN CopyLecture3.8
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Region-based fully-convolutional network CopyLecture3.9
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Single shot detectors CopyLecture3.10
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Speed vs. accuracy tradeoff CopyLecture3.11
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Fun with pedestrian detectors CopyLecture3.12
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Module-2 Object tracking and action recognition 0/11
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Introduction to video analysis CopyLecture4.1
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Optical flow CopyLecture4.2
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Deep learning in optical flow estimation CopyLecture4.3
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Visual object tracking CopyLecture4.4
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Examples of visual object tracking methods CopyLecture4.5
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Multiple object tracking CopyLecture4.6
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Examples of multiple object tracking methods CopyLecture4.7
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Introduction to action recognition CopyLecture4.8
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Action classification CopyLecture4.9
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Action classification with convolutional neural networks CopyLecture4.10
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Action localization CopyLecture4.11
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Module-3 Image segmentation and synthesis 0/7
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Image segmentation CopyLecture5.1
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Oversegmentation CopyLecture5.2
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Deep learning models for image segmentation CopyLecture5.3
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Human pose estimation as image segmentation CopyLecture5.4
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Style transfer CopyLecture5.5
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Generative adversarial networks CopyLecture5.6
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image transformation with neural networks CopyLecture5.7
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Optical flow Copy