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blog Public
https://adityassrana.github.io/blog
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PyTorch implementation of Learning Convolutional Networks for Content-Weighted Image Compression
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pytorch-image-classification Public
A script to quickly evaluate image classification performance on different architectures, optimizers and datasetss
Python UpdatedDec 28, 2021 -
multimodal-learning Public
RGBD-Scene Classification. Inroductory problem to get started with multimodal deep learning
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MCV-M3-MLCV Public archive
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.
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MCV-M5-VR Public archive
Forked from IanRiera/MCV-M5-Object-Detection-and-SegmentationDetectron2 implementations of object detection and instance segmentation on KITTI, KITTI-MOTS and MOTS Challenge datasets. Extensively experimented with different Faster-RCNN, RetinaNet and Mask-RC…
Python UpdatedMay 12, 2021 -
MCV-M6-VA Public archive
Forked from mcv-m6-video/mcv-m6-2021-team1Weekly progress made on the task of Multi-Target Multi-Camera Tracking by implementing background modelling, object detection, IoU and Kalman tracking, block matching optical flow, video stabilizat…
Jupyter Notebook UpdatedApr 24, 2021 -
object-detection-mnist Public
Toy problem to get started with object detection and bounding box regression using MNIST
Jupyter Notebook UpdatedMar 31, 2021 -
MCV-M4-3DV Public archive
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 …
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MCV-M2-OICV Public archive
Optimization in Computer Vision. Implementations of Image Inpainting, Poisson Editing, Chan-Vese Segmentation and Markov Random Fields for Image Segmentation.
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mobile-compression Public archive
Efficient architectures for image compression
Python UpdatedDec 6, 2020 -
MCV-M1-IHCV Public archive
Forked from MCV-2020-M1-Project/Team1Content Based Image Retrieval. Implementations of color histograms, spatial pyramids, HOG, DCT, LBP, top hat and low hat filters, background and text removal, image denoising, and keypoints descrip…
Python UpdatedNov 20, 2020 -
fastai_playground Public
Experiments with things I learned while doing the fast.ai course.
Jupyter Notebook UpdatedSep 2, 2020 -
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BITS-F312-Neural-Networks-and-Fuzzy-Logic Public archive
Archived Notebooks from Neural Networks course at BITS Pilani. Course website at https://bitsnnfl.github.io/
Jupyter Notebook UpdatedApr 10, 2020