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MBS Survey Software Ltd
- London, United Kingdom
- https://kirans.me
- https://orcid.org/0000-0003-3739-5985
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Starred repositories
PDFsharp and MigraDoc Foundation for .NET 6 and .NET Framework
The "Simple HTML to PDF" project is a lightweight library and NuGet package for .NET that enables easy conversion of HTML content to PDF documents using the wkhtmltopdf command-line tool, making it…
A set of documented functions for simulating the performance of photovoltaic energy systems.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
collection of simple and reusable Python scripts for image segmentation tasks — including mask processing, RGB color extraction, visualization, metrics, and more.
Real-time daylight prediction using Rhinoceros3D, Grasshopper, Ladybug Tools and pyTorch
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation
Official code for the paper "EAGLE: An Edge-Aware Gradient Localization Enhanced Loss for CT Image Reconstruction".
A Jass game (popular in Switzerland) done in .Net MAUI
Interactive Revit database exploration tool to view and edit BIM element parameters, properties and relationships.
A paper list of some recent Mamba-based CV works.
Let's build better datasets, together!
Original implementation of "Radiant Foam: Real-Time Differentiable Ray Tracing"
Modern Computer Vision with PyTorch, 2E, Published by Packt
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
This repo contains source code for Glance and Focus: Memory Prompting for Multi-Event Video Question Answering (Accepted in NeurIPS 2023)
This is an official implementation for "Video Swin Transformers".
✨✨Latest Papers on Vision Mamba and Related Areas
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
A collection of loss functions for medical image segmentation
[Image and Vision Computing (Vol.147 Jul. '24)] Interactive Natural Image Matting with Segment Anything Models
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).