I am a third year ECE Ph.D. candidate 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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Passed my preliminary exam on Aug 06, 2024!
Publications
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MetaFood3D: Large 3D Food Object Dataset with Nutrition Values
WACV 2024
[Website]
[Paper]
Yuhao Chen, Jiangpeng He, Chris Czarnecki, Gautham Vinod, Talha Ibn Mahmud, Siddeshwar Raghavan, Jinge Ma, Dayou Mao, Saeejith Nair, Pengcheng Xi, Alexander Wong, Edward Delp, Fengqing Zhu
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DELTA: Decoupling Long-Tailed Online Continual Learning
CVPR Workshop 2024 (CLVISION)
[Code]
[Paper]
Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu
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Online Class-Incremental Learning For Real-World Food
Classification
WACV 2024
[Code]
[Paper]
Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu
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Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging
ICCP 2022
[Code][Paper]
Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li
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Towards Non-Line-of-Sight Photography
arXiv Sept 2021
Jiayong Peng, Fangzhou Mu, Ji Hyun Nam, Siddeshwar Raghavan, Yin Li, Andreas Velten, Zhiwei Xiong
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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.
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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.
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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
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Purdue University, West Lafayette, Indiana
Doctor of Philosophy, Electrical and Computer Engineering
Jan 2022 - TBD
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University of Wisconsin-Madison, Madison, Wisconsin
Master of Science, Electrical Engineering
Aug 2019 - May 2021
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PSG College of Technology, Coimbatore, India
Bachelor of Engineering, Electronics and Communication Engineering
Jul 2014 - May 2018
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