1 citations · 3 across the 6 of their papers we have counts for
6 papers
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution
Shuja Khalid, Mohamed Ibrahim, Yang Liu
We present a novel approach for enhancing the resolution and geometric fidelity of 3D Gaussian Splatting (3DGS) beyond native training resolution. Current 3DGS methods are fundamen…
SurGNN: Explainable visual scene understanding and assessment of surgical skill using graph neural networks
Shuja Khalid, Frank Rudzicz
This paper explores how graph neural networks (GNNs) can be used to enhance visual scene understanding and surgical skill assessment. By using GNNs to analyze the complex visual da…
RefiNeRF: Modelling dynamic neural radiance fields with inconsistent or missing camera parameters
Shuja Khalid, Frank Rudzicz
Novel view synthesis (NVS) is a challenging task in computer vision that involves synthesizing new views of a scene from a limited set of input images. Neural Radiance Fields (NeRF…
wildNeRF: Complete view synthesis of in-the-wild dynamic scenes captured using sparse monocular data
Shuja Khalid, Frank Rudzicz
We present a novel neural radiance model that is trainable in a self-supervised manner for novel-view synthesis of dynamic unstructured scenes. Our end-to-end trainable algorithm l…
Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data
Shuja Khalid, Francisco Matos, Ayman Abunimer +6
30-day hospital readmission is a long standing medical problem that affects patients' morbidity and mortality and costs billions of dollars annually. Recently, machine learning mod…
Player Availability Rating (PAR) - A Tool for Quantifying Skater Performance for NHL General Managers
Shuja Khalid
This project aims to assess the performance of various regression models in predicting the performance of hockey players. The measure of performance is chosen to be points scored (…