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FashionVQA: A Domain-Specific Visual Question Answering System
We see that using the same transformer for encoding the question and decoding the answer, as in language models, achieves maximum accuracy, showing that visual language models (VLMs) make the best visual question answering systems for our dataset.
Designing an Efficient End-to-end Machine Learning Pipeline for Real-time Empty-shelf Detection
On-Shelf Availability (OSA) of products in retail stores is a critical business criterion in the fast moving consumer goods and retails sector.
Neuromorphic Computing for Content-based Image Retrieval
Neuromorphic computing mimics the neural activity of the brain through emulating spiking neural networks.
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry
Previously we had shown that high-throughput label-free cell classification with high accuracy can be achieved through a combination of time-stretch microscopy, image processing and feature extraction, followed by deep learning for finding cancer cells in the blood.
Time Stretch Inspired Computational Imaging
We show that dispersive propagation of light followed by phase detection has properties that can be exploited for extracting features from the waveforms.
