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1. 3D-Scene-Reconstruction 3D-Scene-Reconstruction Public

   The goal of this project is to perform a full 3D reconstruction pipeline on a real-world object or scene using multiple views, starting with camera calibration, then keypoint matching, and finally …

   C 1

2. Interpretable-Cross-Modal-Retrieval-with-CLIP-and-Explainability Interpretable-Cross-Modal-Retrieval-with-CLIP-and-Explainability Public

   This project explores the use of CLIP (Contrastive Language–Image Pretraining) for bidirectional retrieval between images and text, with a focus on explainability. Users can query with either an im…

   Python 4

3. Tumor-Detection-Brain-MRI Tumor-Detection-Brain-MRI Public

   This project serves as a prime example of computer vision's role in revolutionizing healthcare. By utilizing the Detectron2 framework this project enables accurate detection of tumors in brain MRI…

   Python 7 2

4. GenerativeAI-Models GenerativeAI-Models Public

   A collection of generative AI model implementations, including Variational Autoencoders (VAE), Conditional VAEs, Generative Adversarial Networks (GANs), CycleGAN, Diffusion Models, and Autoencoder-…

   Jupyter Notebook 2

5. Explainability-Method-Comparison Explainability-Method-Comparison Public

   Evaluation of black-box (LIME, RISE) and white-box (Grad-CAM, FEM) explainability techniques. The project evaluates each method using Deletion and Insertion curves, along with Pearson Correlation (…

   Python

6. Model-Compression-Pruning-Quantization Model-Compression-Pruning-Quantization Public

   This project explores model compression methods, specifically Pruning and Quantization, applied to deep neural networks using PyTorch. These techniques reduce model size, computation cost, and infe…

   Python