Deepak Sridhar
PhD Student, Computer Vision, Generative Modeling
San Diego, California
I am a third year PhD student at UCSD with a focus on Computer Vision. I am working under Prof. Nuno Vasconcelos on generative modeling (diffusion models) for multimodal vision problems (images/video/3D content generation). Currently, I am working on a 2D/3D diffusion model framework (link) that offers high fidelity, controllability, modularity, (re)-usability (adapting existing foundational models) and applicability (data augmentation) for various downstream vision tasks. I am also working on some fundamental vision problems such as efficient classification and detection in images and videos.
Outside of Research, I love to go on hiking and exploring the nature. I also love to participate in outdoor adventures.
news
Sep 29, 2024 | Gave a oral presentation of my PromptSliders paper at the Unlearning and Model Editing Workshop in ECCV’24. |
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Sep 25, 2024 | Paper on “Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis” accepted to NeurIPS’24! . |
Aug 16, 2024 | Paper on “Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models” accepted to ECCV’24-Unlearning and Model Editing Workshop! . |
Dec 1, 2023 | New preprint available on arXiv! SCHEME: Scalable Channel Mixer for Vision Transformers. |
Sep 26, 2022 | Started my PhD in Fall 2022 with Jacobs Fellow Award (Highest recognition in ECE at UCSD). |