Computer Vision Work From Home Internship

Selected intern's day-to-day responsibilities include:

1. Video summarization for human activity using vision LLM: This project focuses on developing advanced algorithms to summarize human activities in video content utilizing Vision Large Language Models. Interns will work along with our research engineers in literature reviews, model training, evaluation, and documentation
2. Deepfake detection from low-resolution images using interpretable AI: This project aims to explore methods for detecting deepfakes in low-resolution images, leveraging interpretable AI techniques to enhance model understanding and improve detection accuracy. Interns will work along with our research engineers in literature reviews, model training, evaluation, and documentation.
3. Deepfake detection in medical images: The inability of automated systems to detect medical deepfakes can lead to security and privacy issues that can place a heavy burden on hospital resources and morbidity. To overcome this effect, a deep-seated detector is needed to handle new manipulation techniques. In the medical field, the misuse of data manipulation through deep learning image processing technology can have serious consequences.

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