Search Results for author: Siddeshwar Raghavan

Found 4 papers, 2 papers with code

DELTA: Decoupling Long-Tailed Online Continual Learning

1 code implementation6 Apr 2024 Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

A significant challenge in achieving ubiquitous Artificial Intelligence is the limited ability of models to rapidly learn new information in real-world scenarios where data follows long-tailed distributions, all while avoiding forgetting previously acquired knowledge.

Continual Learning Contrastive Learning +1

Online Class-Incremental Learning For Real-World Food Image Classification

1 code implementation12 Jan 2023 Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu

In this work, we explore OCIL for real-world food image classification by first introducing a probabilistic framework to simulate realistic food consumption scenarios.

Classification Class Incremental Learning +2

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

no code implementations3 May 2022 Fangzhou Mu, Sicheng Mo, Jiayong Peng, Xiaochun Liu, Ji Hyun Nam, Siddeshwar Raghavan, Andreas Velten, Yin Li

Computational approach to imaging around the corner, or non-line-of-sight (NLOS) imaging, is becoming a reality thanks to major advances in imaging hardware and reconstruction algorithms.

Towards Non-Line-of-Sight Photography

no code implementations16 Sep 2021 Jiayong Peng, Fangzhou Mu, Ji Hyun Nam, Siddeshwar Raghavan, Yin Li, Andreas Velten, Zhiwei Xiong

Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce indirect reflections from the hidden objects.

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