Image Processing, CV, ML, DL & AI Projects

Image Reconstruction | Laplacian Pyramid | python

Using Deep Features from Stacked AutoEncoders for Classification using H2O (in python)

Video Stitching | Panorama | opencv-python

Object Detection with Yolo V3 (with opencv-python)

Deep Deformable Image Registration | CNN | UNet | NCC | MNIST | tensorflow | keras | python

Deep Image Analogy | PatchMatch | NNF | VGG19 | Image Generation | Visual Attribute Transfer| python

Image Interpolation | Delaunay Triangulation | Barycentric Coordinates | Reconstruction | python

Convolution AutoEncoder with Skip-Connections for Image Denoising (trained on noisy CIFAR10 with tf)

Image Inpainting | Orthogonal Matching Pursuit (OMP)| DCT Dictionary | Sparse Image Recovery| python

Finding direction of people walking in video | motion detection | optical flow | opencv-python

Image Deblurring | Inverse Problem | (PnP) ADMM | FISTA | Proximal | Compressed Sensing | python

Binary Image Denoising | Iterated Conditional Modes | Simulated Annealing | MAP | MRF | python

Generating 3D point cloud from depth maps in python

Binary Image Denoising | Ising Model | Gibbs Sampling | MCMC | MRF | Bayesian | python

Binary Image Denoising | Loopy Belief Propagation | Prob Graphical Model | Approx Inference | MRF

OCR | HMM | Language Model | Viterbi | Dynamic Programming | extract text from image | NLP | python

Denoising AutoEncoder to clean noisy faces with python

Visual Attention | Image Captioning | Visualization | tensorflow | python

Image Segmentation | MRF | Potts Model | Gaussian likelihood | Bayesian| Simulated Annealing| python

Image Inpainting | Inverse Problem | L1 and TV Priors | Proximal algorithm | FISTA | python

Optical Flow | Horn Schunck | Variational | Discrete Algorithm | Lucas Kanade | Least Squares|python

Image Denoising | OMP | L0 Problem | Sparse Recovery | DCT Dictionary | python

Image Segmentation | Mumford-Shah | Calculus of Variations | Ambrosio-Tortorelli Approx| PDE| python

Variational Methods | PDE | Diffusion | Perona-Malik | Denoising | Grad Desc | Tikhonov | TV | ROF

Optical Flow | Horn Schunck | Calculus of Variation | PDE | gradient descent | python

Visual Question Answering | VQA | Vision & Lang Transformer | ViLT | Show-Ask-Attend | Deep learning

Variational Methods | PDE | Inpainting | Tikhonov | TV | ROF | Calculus of Variation

Optical Flow | Horn Schunck | Discrete Algorithm | Lucas Kanade | Least Squares | python

Background Subtraction | Adaptive GMM | Pixel Process | Segmentation | Tracking | python

Image Segmentation | Mumford-Shah | Calculus of Variations | Ambrosio-Tortorelli Approx | python

Topic Model । Latent Dirichlet Allocation । Collapsed Gibbs Sampling । BBC news dataset । python

Color Image Segmentation | MRF | Potts | Gaussian likelihood | Bayesian| Simulated Annealing| python

Edge-based Segmentation | Geodesic Active Contours | Snakes | Level Sets | Curvature Motion | python

Car Detection | video | background subtraction | segmentation | region/morphology analysis | Matlab

Optical Flow | Dense | Lukas Kanade algoirhtm | opencv-python

Marr-Hildreth algorithm | Zero-Crossing Edge Detector | LOG | python implementation

Image Denoising | Inverse Problem | TV prior | Dual objective | GP Algorithm | Proximal | python

Image Search Engine | feature extraction | EfficientNet | python

Creating oil-paintings from images with python

Image Editing | iterative seamless cloning | python

Stylization threading | drawing images with random lines | Algorithm | python

Image Deblurring | Iterative Least Squares । Constrained LS । Algorithms | python

Car Detection | video | Gaussian Mixture model | matlab | opencv-python

Approximating the Square Wave using Fourier Series and Drawing using Epi-Cycles with python

Simulating Dolly-Zoom (Vertigo) Effect with python (opencv)

Seam-Carving | Context-aware image resizing | Dynamic Programming | python

Image Reconstruction | Laplacian Pyramid | python

Generate painting | Color palette extraction | GMM-EM | python

Latent Concept Extraction | Topic Models | TSVD | NMF | LDA | Unsupervised | ICA I KMeans | python

Guided Deep Dreaming | with control images | gradient ascent | at layers of VGG16 | pytorch

Object Removal with Seam Carving