Latest News
- Selected as one of thirteen Givens Associates at Argonne National Labs in April 2025.
- Passed my preliminary exam on August 6, 2024!
- Paper accepted at CVPR - CLVision 2024 [Paper]
- Paper accepted at WACV 2024 [Paper]
Selected Publications
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MetaFood3D: Large 3D Food Object Dataset with Nutrition Values
ArXiv 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 September 2021
Jiayong Peng, Fangzhou Mu, Ji Hyun Nam, Siddeshwar Raghavan,
Yin Li, Andreas Velten, Zhiwei Xiong
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Experience
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Givens Research Associate, Argonne National Lab
May 2025 – Present
Selected as one of thirteen Givens Research Associates at ANL. My work focuses on LLM reasoning models.
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Education
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Purdue University, West Lafayette, Indiana
Ph.D., Electrical and Computer Engineering
Jan 2022 – TBD
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University of Wisconsin–Madison, Madison, Wisconsin
M.S., Electrical Engineering
Aug 2019 – May 2021
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PSG College of Technology, Coimbatore, India
B.E., Electronics and Communication Engineering
Jul 2014 – May 2018
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