Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
About Me
About Me
Posts
Injecting Language into the 3D World - Part II
Part II moves from spatial reasoning to embodied intelligence. We examine how large language models conditioned on 3D scene representations transition from passive understanding to active decision-making. The discussion focuses on 3D task planning, navigation, object manipulation, and safety constraints.
Injecting Language into the 3D World - Part I
This article presents a structured and research-oriented exploration of how language models are integrated with 3D scene representations. We analyze alignment strategies, architectural design patterns, and task formulations including captioning, grounding, conversation, embodied decision-making, and text-to-3D generation.
Foundation Models for Earth Observation (EO)
Foundation Models (FMs) are transforming Earth Observation (EO) by unifying diverse satellite, environmental, and sensor datasets into powerful multimodal representations. This study surveys the state of the art, covering adaptive architectures, large-scale pretraining pipelines, and generative any-to-any frameworks. We examine how these advances are accelerating applications and the integration of EO into digital twins.
A Comprehensive Study for Gaussian Splatting
Gaussian Splatting is a cutting edge technique for real time neural rendering that models scenes using explicit 3D Gaussians. It offers an alternative to neural implicit representations (NIR) and NeRFs. This study provides a rigorous, structured exploration of its mathematical foundations, differentiable rasterization pipeline, and key advancements that are redefining Gaussian-based scene representation.
Neural Radiance Fields: A Comprehensive Review 📚🔍✨
This blog offers a comprehensive exploration of Neural Radiance Fields (NeRFs), a method for photorealistic 3D scene reconstruction from sparse 2D images. It covers foundational concepts, training techniques, and notable advancements and well-known variants in the NeRF family.
Diffusion Models: A Comprehensive Guide
Welcome to this guide on Diffusion Models, a groundbreaking class of generative models that create high-quality data by refining noisy inputs. This blog covers their foundations, architectures, training, advanced techniques like conditional and latent diffusion, and applications ranging from image editing to medical imaging, offering a concise overview of their impact on machine learning.
State Space Models (SSM)
Welcome to this guide on State Space Models (SSMs), exploring their efficiency in modeling long-range dependencies, the S4 model, and key techniques.
Neural Implicit Representation
Welcome to this guide on Neural Implicit Representations (NIR), an advanced approach to 3D reconstruction and graphics. Explore concepts like implicit functions, occupancy networks, volumetric rendering, and Neural Radiance Fields (NeRF), enabling high-resolution 3D modeling.
portfolio
VisLoc
VisLoc
Machine Learning for Image Based 3D Reconstruction
Machine Learning for Image Based 3D Reconstruction
DeepPCF-MVS: Deep Plane Estimation and Filtering for Complete Multi-View Stereo
DeepPCF-MVS: Deep Plane Estimation and Filtering for Complete Multi-View Stereo
Optimal Control and Planning for Autonomous Driving
Optimal Control and Planning for Autonomous Driving
publications
talks
Talk 1 on Relevant Topic in Your Field
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
This is a description of a teaching experience. You can use markdown like any other post.