Content-Weighted-Image-Compression

PyTorch implementation of Learning Convolutional Networks for Content-Weighted Image Compression

MCV-M4-3DV

Implemented image warping, affine and metric rectification, DLT, RANSAC, panorama stitching Zhang’s calibration method, view morphing, stereo matching, depth-map computation, bundle adjustment and resectioning for Structure from Motion

blog

https://adityassrana.github.io/blog

multimodal-learning

RGBD-Scene Classification. Inroductory problem to get started with multimodal deep learning

MCV-M3-MLCV

Image classification - Bag of Visual Words, Keypoints and Descriptors, Spatial Pyramids, K-Means and GMM clustering, PCA, LDA, SVM, Fisher Vectors, Fine Tuning CNNs, Training CNNs from scratch.