81 citations · 90 across the 4 of their papers we have counts for
4 papers
Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review
Faruk Ahmed, Md. Taimur Ahad, Yousuf Rayhan Emon
Tea leaf diseases are a major challenge to agricultural productivity, with far-reaching implications for yield and quality in the tea industry. The rise of machine learning has ena…
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai, Faruk Ahmed, Supriya Vijay +13
Task-specific deep learning models in histopathology offer promising opportunities for improving diagnosis, clinical research, and precision medicine. However, development of such…
PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed +4
Natural image modeling is a landmark challenge of unsupervised learning. Variational Autoencoders (VAEs) learn a useful latent representation and model global structure well but ha…
Candidate Constrained CRFs for Loss-Aware Structured Prediction
Faruk Ahmed, Daniel Tarlow, Dhruv Batra
When evaluating computer vision systems, we are often concerned with performance on a task-specific evaluation measure such as the Intersection-Over-Union score used in the PASCAL…