Raunak Manekar

I am a PhD candidate at University of Minnesota, TC working with Prof. Jaideep Srivastava. Currently I am a visiting researcher at UCLA (Coherent Imaging Group) with Prof. John Miao. My research focuses on machine learning for scientific imaging.

Previously, I have graduated from Birla Institute of Technology and Science, Pilani (India) advised by Prof. Chandra Shekhar. Additionally I have also spent a year at Central Electronics Research (CEERI), India.

Email / CV / Google Scholar / LinkedIn

Research

I'm interested in computer vision, machine learning and computational imaging. Most of my research is about developing techniques for inverse problems in imaging.

	LoDIP: Low-dose phase retrieval with deep image prior Raunak Manekar, Elisa Negrini, Minh Pham, Daniel Jacobs, Jaideep Srivastava, Stanley J. Osher, Jianwei Miao, Machine Learning and the Physical Sciences Workshop, NeurIPS, 2023 Unsupervised, single-image technique for phase retrieval at very low photon counts
	Breaking Symmetries in Data-Driven Phase Retrieval Raunak Manekar, Kshitij Tayal, Zhong Zhuang, Chieh-Hsin Lai, Vipin Kumar, Ju Sun, Computational Optical Sensing and Imaging , 2021 Supervised learning for inverse problems requires a careful handling of the symmetries.
	Deep Learning Initialized Phase Retrieval Raunak Manekar, Zhong Zhuang, Kshitij Tayal, Vipin Kumar, Ju Sun, NeurIPS 2020 Workshop on Deep Learning and Inverse Problems , 2020 An unsupervised data-driven technique for practical phase retrieval.
	End-to-end learning for phase retrieval Raunak Manekar, Kshitij Tayal, Vipin Kumar, Ju Sun, ICML workshop on ML Interpretability for Scientific Discovery , 2020 Exploring dataset-bias in end-to-end learning for phase retrieval
	Phase Retrieval using Single-Instance Deep Generative Prior Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun, Optics and Photonics for Sensing the Environment.OSA , 2021 Unsupervised single-instance method for phase retrieval
	2D-3D CNN based architectures for spectral reconstruction from RGB images Sriharsha Koundinya, Himanshu Sharma, Manoj Sharma, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Abhijit Karmakar, Santanu Chaudhury, Proceedings of the IEEE conference on computer vision and pattern recognition workshops, 2018 Hyperspectral Information restoration from RGB images
	Convolutional neural network-based human identification using outer ear images H Sinha Raunak Manekar, Yash Sinha, P K Ajmera, Soft Computing for Problem Solving: SocProS, 2017
	Activity recognition for indoor fall detection in 360-degree videos using deep learning techniques Dhiraj Raunak Manekar, Sumeet Saurav, Somsukla Maiti, Sanjay Singh, Santanu Chaudhury, Neeraj, Ravi Kumar, Kamal Chaudhary, Proceedings of 3rd International Conference on Computer Vision and Image Processing: CVIP, 2018

Service

Reviewer, CVPR 2022, ECCV 2022
Reviewer, Neurips 2022,2023 ICLR 2022 (Highlighted reviewer)
Reviewer, AAAI '22 (Intl Workshop on Health Intelligence)
Reviewer, Springer Autonomous Robots Journal

Awards

Travel award- ICML '17(Sydney)
Travel award- CSCI 5523: NeurIPS '22(New Orleans)
ICLR '22 Highlighted Reviewer

Teaching

Teaching assistant

CSCI 5521: Machine Learning Fundamentals
CSCI 5523: Data Mining
CSCI 1933: Intro to Data Structures and Algorithms

Website template taken from Jon Barren.