• Hi! I am a PhD student at Berkeley AI Research, advised by Prof. Alexei Efros. I am interested in deep learning problems and applications to computer vision. My research is supported by the DOE Computational Science Graduate Fellowship.
• I graduated from Northwestern with a BS in Computer Science. I have had the pleasure of working with: Prof. Aggelos Katsaggelos (Northwestern Image+Video Processing Lab), Prof. Pietro Perona (Caltech Vision Group), Jennifer J. Sun (Incoming Faculty at Cornell), Vibhav Vineet, Neel Joshi (MSR Computer Vision Group).

Selected Publications

(See my Google Scholar for a full list)

Interpreting the Weight Space of Customized Diffusion Models
Amil Dravid*, Yossi Gandelsman*, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman
NeurIPS, 2024
[pdf] / [website]

Idempotent Generative Network
Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Miki Rubinstein, Alexei A. Efros
ICLR, 2024
[pdf] / [website]

Rosetta Neurons: Mining the Common Units in a Model Zoo
Amil Dravid*, Yossi Gandelsman*, Alexei A. Efros, Assaf Shocher.
ICCV, 2023
[pdf] / [website] / [code]

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos
Jennifer J. Sun*, Pierre Karashchuk*, Amil Dravid*, et al.
CVPR, 2023.
[pdf] / [website] / [code]