Computer Vision Projects
Tags: Computer Vision, Data Science, Machine Learning
Vision Transformers for Analyzing High-Resolution Pathology Images
Master Thesis Transformers are powerful models that can capture long-range dependencies between data using an attention mechanism. However, applying transformers to medical problems poses challenges due to the high-resolution and complexity of pathology images, as well as the scarcity and noise of labels. In this…
Tags: Computer Vision, Data Science, Machine Learning
Improving Domain Generalization for Deep Learning-Powered Cancer Cell Detectiong
Internship, 2022 In 2022, I have worked as a research & software intern at NEC Laboratories in Princeton, a brilliant research company along with world-renowned scientists. I have implemented and researched the various techniques of data augmentation to improve results on a complex multi-class segmentation…
Tags: Computer Vision, GANs, Machine Learning, Medical, Self-Supervised
Implementation of GANWriting, Content-Conditioned Generation of Styled Handwritten Word Images
Internship, 2021 Worked on the deployment of a state-of-the-art GAN model for generating hand written words, with the goal of writing a full library in Pytorch Lightning. This framework relied on a deep understanding of Computer Vision and complex ML system. GANWriting propose a novel…
Tags: Computer Vision, Machine Learning
Towards Robust and Adaptable Diagnosis of Pneumonia from Chest X-ray Data
Visual Intelligence, 90/100, 2021 Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that accurately diagnose pneumonia from a chest X-Ray images using deep neural networks when trained on a sufficient large and homogeneous amount of labelled images. However, the robustness and adaptability…
Tags: Computer Vision, GANs, Machine Learning, Medical, Self-Supervised
Detecting Rooftop Area for installing PV modules with Deep Learning
Machine Learning, 100/100, 2021 Won the 2nd place for best project presentation, presented at the CISBAT 2021 and published in the Journal of Physics. With Prof. Castello, we worked on Deep-learning for the detection of available for solar panel installation from satellite images. This computer…
Tags: Computer Vision, Machine Learning