Multimodal Learning Lab is a cross-border lab based at the University of Aberdeen and NAAMII, Nepal. Dr. Binod Bhattarai co-founded NAAMII, Nepal, in 2018. The lab focuses on developing machine learning algorithms for processing information from both real and synthetic heterogeneous sources, such as vision, text, and speech, to enable computers to understand, interpret, and reason. The applications include computer vision, medical image analysis, energy, agriculture, and low-resource language processing. About Us
B Bhattarai MultiModal Learning Lab (MMLL)
Multimodal Learning Lab: Cross-border research at University of Aberdeen and NAAMII, led by Dr. Binod Bhattarai. Focused on diverse machine learning application
Pinned Loading
Repositories
Showing 10 of 18 repositories
- ProMoE-FL Public
This repository contains the official implementation of our MICCAI 2026 paper "ProMoE-FL: Prototype-conditioned Mixture of Experts for Multimodal Federated Learning with Missing Modalities"
- SAGE Public
Pre-processing and data validation scripts for SAGE, first South Asian endoscopy dataset collected from Dhulikhel Hospital, Nepal.
- Med-MMFL-Benchmark Public
- NERO Public
- Hallucination-Aware-VLM Public
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision Language Models
- image-caption-annotation Public
- NCDD Public
The official implementation of NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestional Vision
- fmlbenchmark Public
- Surgical-Vision-World-Model Public
- pathfinder-generator Public
People
This organization has no public members. You must be a member to see who’s a part of this organization.
Top languages
Loading…
Most used topics
Loading…