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
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Repositories
Showing 10 of 19 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"
- Med-MMFL-Benchmark Public
- Hallucination-Aware-VLM Public
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision Language Models
- image-caption-annotation Public
- fmlbenchmark Public
- Surgical-Vision-World-Model Public
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