Object Detection | Mask-RCNN | Deep learning | python

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Face feature extraction | CBCL | NMF | β-divergence | Euclidean | KL | IS | mult update algo

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

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

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

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

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

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

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

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