Coursework using CNN and Machine Learning - Image-Based Accident Severity Prediction for Safer Navigation in the UK: Enhancing Generative Routing Application such as Google Map or Waze using AI.
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Updated
Jul 20, 2024 - Jupyter Notebook
Coursework using CNN and Machine Learning - Image-Based Accident Severity Prediction for Safer Navigation in the UK: Enhancing Generative Routing Application such as Google Map or Waze using AI.
PyTorch implementation of PerCo (Towards Image Compression with Perfect Realism at Ultra-Low Bitrates, ICLR 2024)
Official implementation for the paper "InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture".
The Java implementation of Dive into Deep Learning (D2L.ai)
This is the official PyTorch implementation of ShadowRefiner. Our method is winner of Perceptual Track and achieves the second-best performance for Fidelity Track in NTIRE 2024 Shadow Removal Challenge (CVPR 2024 Workshop)
Attendance Using Face Recognisation
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
Unlock the world of Computer Vision Projects! Dive into hands-on learning with diverse projects, code, and datasets. Elevate your AI skills and explore the realm of visual data interpretation.
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
TasteRank: Personalized Image Search and Recommendation. This research project proposes an AI-based method for scoring photos on relevance to user interests. TasteRank leverages language and vision models, including Mistral LLMs and OpenAI’s CLIP, and applies multimodal machine-learning techniques.
The ReScape algorithm removes the perspective distortion from coral-reefscape images by transforming them into a top-down view.
This is a computer vision model that detects if forest areas experienced deforestation. It takes in a satellite image of a forest region to categorize if the region experienced deforestation or hasn't experienced deforestation. This project was created within the AI4ALL Ignite Program SP24.
AI Division, Reverse Engineering CNN Trojans
A computer vision project for identifying license plates (number plates) of cars and showing the actual number (in process)
Inference engine for object detection tasks in computer vision with audible output
Front-End Computer Vision SDK for Vue.js
This repo contains all my Computer Vision projects.
Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907
A curated list of awesome Neural Radiance Fields (NeRF) papers
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