Hi, I am Sid Raghavan

I am a third year ECE Ph.D. student in the area of Computer Vision at Purdue University. My advisors are, Prof. Edward J. Delp  and Prof. Fengqing Maggie Zhu.

I graduated with a master's degree from the Electrical and Computer Engineering Department at University of Wisconsin-Madison. During my time here, I worked with Prof. Yin Li  in his computer vision lab and also collaborated with Prof. Andreas Velten.

My research interests majorly span across computer vision and machine learning.

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profile photo
DELTA: Decoupling Long-Tailed Online Continual Learning got accepted as a poster in CVPR workshops 2024!
Publications
PontTuset DELTA: Decoupling Long-Tailed Online Continual Learning
CVPR Workshop 2024 (CLVISION)

Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

PontTuset Online Class-Incremental Learning For Real-World Food Classification
WACV 2024

Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

PontTuset Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging
ICCP 2022

Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li

PontTuset Towards Non-Line-of-Sight Photography
arXiv Sept 2021

Jiayong Peng, Fangzhou Mu, Ji Hyun Nam, Siddeshwar Raghavan, Yin Li, Andreas Velten, Zhiwei Xiong

Experience
PontTuset Engineering Intern, Adori Labs
Sept 2018 - May 2019

Adori Labs is a startup working on Engagement and Analytics platform for audio. After my graduation, I worked at Adori Labs for nine months before leaving for the USA for my graduate studies. During that time, I worked on four projects - built an sdk-like voice assistant layer for the podcast app, built & released Google Home Actions and Amazon Alexa Skills and developed an internal podcast search tool using Elasticsearch.

PontTuset Research Intern, IIT Bombay
June 2017

Worked on a VSLAM project under the guidance of Prof. Rajbabu Velmurugan and I developed a system to identify markers and distance of the markers from the video captured by a single camera rather than the conventional multi-camera approach. This was achieved by segmenting it into frames and analyzing each frame to find the position of the marker. I had chosen the approach to identify markers from the video feed to make the solution as weakly supervised as possible.

PontTuset Research Intern, IIT Madras
June 2016

Worked under the guidance of Prof. Ashok Jhunjhunwala on various battery technologies. Designed and built a State Of Health tester, which measures the health of the battery, efficiency percentage, number of charge cycles dynamically

Education
PontTuset Purdue University, West Lafayette, Indiana

Doctor of Philosophy, Electrical and Computer Engineering
Jan 2022 - TBD

PontTuset University of Wisconsin-Madison, Madison, Wisconsin

Master of Science, Electrical Engineering
Aug 2019 - May 2021

PontTuset PSG College of Technology, Coimbatore, India

Bachelor of Engineering, Electronics and Communication Engineering
Jul 2014 - May 2018



Here is a link to my artworks!


Thanks to Jon Barron for the template.