Fellow Profile Page

Amil Dravid

  • Program Year: 2
  • Academic Institution: University of California, Berkeley
  • Field of Study: Computer Science
  • Academic Advisor: Alexei Efros
  • Practicum(s):
    Lawrence Livermore National Laboratory (2024)
  • Degree(s):
    B.S. Computer Science, Northwestern University, 2023
  • Personal URL: http://avdravid.github.io

Summary of Research

My research is in artificial intelligence and computer vision. I am driven to understand and transform visual representations of the world around us. In particular, I am interested in causal inference and explainability, domain adaptation/generalization, generative modeling, and self-supervised learning, specifically in a vision context.

Publications

1) Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei A. Efros. "Idempotent Generative Network." ICLR 2024.
2) Amil Dravid*, Yossi Gandelsman*, Alexei A. Efros, Assaf Shocher. "Rosetta Neurons: Mining the Common Units in a Model Zoo." ICCV 2023.
3) Jennifer Sun*, Lili Karashchuk*, Amil Dravid*, et al. "BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos." CVPR 2023.
4) Amil Dravid, Florian Schiffers, Boqing Gong, Aggelos K. Katsaggelos. "medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space." CVPRW 2022.
5) Amil Dravid and Aggelos K. Katsaggelos. "Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract)." AAAI 2022.
6) Amil Dravid, Florian Schiffers, Yunan Wu, et al. "Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes." ICASSP 2022.
7) Oisín Bugter, Yue Li, Anouk Wolters, Vasundhara Agrawal, Amil Dravid, et al. "Early Upper Aerodigestive Tract Cancer Detection Using Electron Microscopy to Reveal Chromatin Packing Alterations in Buccal Mucosa Cells." Microscopy and Microanalysis 27.4 (2021): 878-888.
8) Ramsey M. Wehbe, Jiayue Sheng, Shinjan Dutta, Siyuan Chai, Amil Dravid, et al. "DeepCOVID-XR: an Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large US Clinical Data Set." Radiology 299.1 (2021): E167.
9) Emanuel Azcona, Pierre Besson, Yunan Wu, Arjun Punjabi, Adam Martersteck, Amil Dravid, et al. "Interpretation of Brain Morphology in Association to Alzheimer’s Disease Dementia Classification using Graph Convolutional Networks on Triangulated Meshes." International Workshop on Shape in Medical Imaging. Springer, Cham, 2020.
10) Amil Dravid. "Employing Deep Networks for Image Processing on Small Research Datasets." Microscopy Today 27.1 (2019): 18-23.

Awards

1) Goldwater Scholarship, 2021
2) CRA Outstanding Undergraduate Researcher Finalist, 2022
3) Caltech Summer Undergraduate Research Fellowship (SURF), 2022
4) Northwestern Summer Undergraduate Research Grant (SURG), 2020
5) Tau Beta Pi, 2022
6) Sigma Xi, 2021