Prakhar Kaushik

JHU CCVL PhD Candidate. Baltimore, US.

prof_pic.jpg

251-S1 Malone Hall

Johns Hopkins University

Baltimore, MD 21218

“No problem is too small or too trivial if we can really do something about it. - Richard Feynman”

Hi there! Welcome to my bio page! I am a final year Computer Science PhD Candidate at Johns Hopkins University.

My current work involves intersection of unsupervised learning, 3D generative models, continual learning, domain adaptation, and model robustness. My research revolves around using cognitive computational vision concepts for solving signal processing and machine learning problems especially related to computer vision and graphics.

Currently, I am focusing on projects regarding part-based 3D object representation and completion, image-to-3D generative modelling and lifelong learning for Internet-scale large vision-language models.

I’m actively looking for research positions in both academia and industry. If you like my ideas and work, please drop me an email.

news

Nov 24, 2024 Our work on Sparse View 3D reconstruction is now available. Check out Gaussian Scenes.
Jul 02, 2024 One paper has been accepted at ECCV 2024!
Apr 10, 2024 Gave a talk about my ICLR’24 and CVPR’24 works at AIEM lab, JHU.
Feb 27, 2024 My first authored paper has been accepted at CVPR 2024! See you in Seattle!
Jan 06, 2024 My first authored paper has been accepted at ICLR 2024! See you in Vienna!