Deepak Sridhar

San Diego, California

I am a second 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

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).
Jun 15, 2022	Second place in TAL (Trimmed) at The ActivityNet Challenge 2022 at CVPR’22 workshop
Dec 11, 2021	Awarded Outstanding Employee of the Year Award at Huawei Canada!
Oct 15, 2021	Our action detection paper accepted to ICCV’21!

selected publications

2021

Class semantics-based attention for action detection

Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, and 3 more authors

In In Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021

Bib PDF Supp

@inproceedings{sridhar21,
  author = {Sridhar, Deepak and Quader, Niamul and Muralidharan, Srikanth and Li, Yaoxin and Dai, Peng and Lu, Juwei},
  title = {Class semantics-based attention for action
                  detection},
  booktitle = {In Proceedings of the IEEE/CVF International
                  Conference on Computer Vision},
  year = {2021}
}