Research areas include (1) multimodal vision and language representation learning, (2) generative modeling using conditional diffusion models, and (3) their applications in multidisciplinary areas.
Advised by Dr. Tom Fletcher
Previously advised by Dr. Vicente Ordonez Roman
Advised by Dr. Kushal Kafle. Working on designing an AI assistant for visual reasoning via bootstrapping pretrained foundation models.
Advised by Dr. Stefano Ermon and Dr. Nikhil Naik. Worked on conditional generative diffusion models for image synthesis.
Advised by Dr. Donald E. Brown and Dr. Sana Syed. Developed learning frameworks for the understanding and assisted diagnosis of gastrointestinal diseases.
Built a streamlined visualization platform with data-driven insights for the Chief Country Officer. However, would not recommend.
Aman Shrivastava and P. Thomas Fletcher.
In International Conference on Medical Image Computing and Computer-Assisted Intervention. MICCAI, 2023.
Aman Shrivastava, Ramprasaath R. Selvaraju, Nikhil Naik, and Vicente Ordonez.
In International Conference on Artificial Intelligence and Statistics. PMLR, 2023.
Philip Fernandes, Yash Sharma, Fatima Zulqarnain, Brooklyn McGrew, Aman Shrivastava, Lubaina Ehsan, Dawson Payne et al.
In Scientific Reports, 2023.
Aman Shrivastava, Yanjun Qi, and Vicente Ordonez.
In IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision, 2023.
Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice Amadi, Paul Kelly, Sana Syed, and Donald E. Brown.
In International Conference on Pattern Recognition, pp. 120-140. Springer, Cham, 2021.
Aman Shrivastava, Karan Kant, Saurav Sengupta, Sung-Jun Kang, Marium Khan, S. Asad Ali, Sean R. Moore et al.
In 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), pp. 1-4. IEEE, 2019.
Sharma, Yash, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, and Donald E. Brown.
In Medical Imaging with Deep Learning. PMLR, 2021.
Vatsal Patel, Marium N. Khan, Aman Shrivastava, Kamran Sadiq, S. Asad Ali, Sean R. Moore,Donald E. Brown, Sana Syed.
In Journal of pediatric gastroenterology and nutrition 70, no. 1, 2020.
A self-attentive GAN to colorize b/w images. Uses perceptual loss that eancourages vibrant and natural image generation.
Generates humerous captions using a joint visual-semantic embedding sapce that represents visual features composed with the tone of a meme template.
A lightweight connect-4 game with a self-written pure-javascript bot using Minimax algorithm and Monte Carlo simulations.
Automatic scraping and analysis of trends in the sentiment of editorial articles on any selected topic of media discussion. Applied it to parameterize and co-relate social response with economic fluctuations during the demonetization drive by the Government of India in November 2016.
Strategic team selection by predicting the best football squad given budget, nationality (and/or club) and playing formation constraints based on self extracted FIFA dataset.