Yebulabula
I am a first-year PhD at Imperial College London sponsored by the President's Scholarship. My research interest lies in 3D Vision and Multimodal Learning.
Imperial College LondonLondon, United Kingdom
Pinned Repositories
awesome-readme
A curated list of awesome READMEs
Best-README-Template
An awesome README template to jumpstart your projects!
ContextVQA
Deep_ACA
Transformer-Based Conditional Adversarial Domain Adaptation in Amplification Curve Analysis
DisC-Diff
【MICCAI 2023, Early accept】DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
dLAMP-qLAMP
Face_Detection-Recognition-System
Face_Detection&Recognition System
fox-Rabbit-YE-project
write ppa coursework
OpenDlign
Offical Repository: OpenDlign: Enhancing Open-World 3D Learning with Depth-Aligned Images
String-Sanitization-Project
A Novel Strategy for Minimizing Data Utility Loss
Yebulabula's Repositories
Yebulabula/DisC-Diff
【MICCAI 2023, Early accept】DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Yebulabula/OpenDlign
Offical Repository: OpenDlign: Enhancing Open-World 3D Learning with Depth-Aligned Images
Yebulabula/String-Sanitization-Project
A Novel Strategy for Minimizing Data Utility Loss
Yebulabula/awesome-readme
A curated list of awesome READMEs
Yebulabula/Best-README-Template
An awesome README template to jumpstart your projects!
Yebulabula/ContextVQA
Yebulabula/Deep_ACA
Transformer-Based Conditional Adversarial Domain Adaptation in Amplification Curve Analysis
Yebulabula/dLAMP-qLAMP
Yebulabula/Face_Detection-Recognition-System
Face_Detection&Recognition System
Yebulabula/fox-Rabbit-YE-project
write ppa coursework
Yebulabula/INT-project
AI-Planning sweet website
Yebulabula/guided-diffusion
Yebulabula/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
Yebulabula/MCM
Yebulabula/MINet
【MICCAI 2021, Early accept】Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Yebulabula/OpenShape_code
official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”
Yebulabula/qcontext
Yebulabula/recover-sparse-signals-from-under-sampled-observations
Recover sparse signals by orthogonal matching pursuit, iterative hard-thresholding, subspace pursuit methods.
Yebulabula/Smart-Agriculture-using-IoT-and-Machine-Learning
The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor etc that takes reading on a periodic basis.The mission of the project is to intimate the farmers or other stakeholders in predicting when the crop is about to deteriorate. This is accomplished by a Machine Learning Layer that has been modeled to identify the degradation of a crop's health before its degradation starts. It uses KNN-algorithm to cluster the crops according to the impeding eventuality.The next iteration identifies the most probable cause and thorugha UI intimates the stakeholder whta steps needs to be taken to prevent crop-failure
Yebulabula/stable-diffusion
A latent text-to-image diffusion model
Yebulabula/team_KingsMen-trafficsimulation
King's College London MSc Group Project Module 2016
Yebulabula/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Yebulabula/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Yebulabula/ULIP
Yebulabula/Uni3D
[ICLR'24 Spotlight] Uni3D: 3D Visual Representation from BAAI
Yebulabula/Yebulabula.github.io