Akshat Dave
I am a Ph.D. student in the Computational Imaging Lab at Rice University. I am fortunate to be advised by Prof. Ashok Veeraraghavan .
My research interests lie at the intersection of vision, graphics, optics and machine learning. I am actively working on co-designing cameras and algorithms that exploit unique properties of light to solve challenging imaging and vision problems. My research includes non-line-of-sight imaging using ultrafast time-of-flight cameras and radiance decomposition using polarization cameras.
I've had the pleasure to work as a Visiting Researcher at MIT Media Lab in Prof. Ramesh Raskar 's group and as a Research Intern at Adobe Research in Dr. Kalyan Sunkavalli 's group. I received my Masters and Bachelors from Indian Institute of Technology Madras, where I worked with Prof. Kaushik Mitra on solving inverse problems using deep learning.
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ORCa: Glossy Objects As Radiance-Field Cameras
Kushagra Tiwary* , Akshat Dave* , Nikhil Behari , Tzofi Klinghoffer , Ashok Veeraraghavan , Ramesh Raskar
accepted at CVPR , 2023 (*=Equally Contributed)
project page /
preprint
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
Siddharth Somasundaram , Akshat Dave , Connor Henley , Ashok Veeraraghavan , Ramesh Raskar
accepted at CVPR , 2023 (*=Equally Contributed)
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Snapshot Polarimetric Diffuse-Specular Separation
Akshat Dave , Yannick Hold-Geoffroy , Milos Hasan , Kalyan Sunkavalli , Ashok Veeraraghavan
Optics Express , 2022
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video
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PANDORA: Polarization-Aided Neural Decomposition Of Radiance
Akshat Dave , Yongyi Zhao , Ashok Veeraraghavan
ECCV , 2022
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First Arrival Differential LiDAR
Tianyi Zhang , Mel White* , Akshat Dave* , Shahaboddin Ghajari , Ankit Raghuram , Alyosha C Molnar , Ashok Veeraraghavan
ICCP , 2022 (*=Equally Contributed)
preprint
A Differential SPAD Array Architecture in 0.18 um CMOS for HDR Imaging
Mel White , Shahaboddin Ghajari , Tianyi Zhang , Akshat Dave , Ashok Veeraraghavan , Alyosha C Molnar
ISCAS , 2022
preprint
DeepIR: A Deep Network-based Image Processing Framework for Thermal Images
Vishwanath Saragadam , Akshat Dave , Ashok Veeraraghavan , Richard Baraniuk
ICCV Workshop , 2021
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code
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Foveated Non-line-of-sight Imaging
Akshat Dave , Muralidhar Madabhushi Balaji , Prasanna Rangarajan , Ashok Veeraraghavan , Marc P Christensen
COSI , 2020  
(Best Paper Award)
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preprint
Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator
Byeongjoo Ahn ,
Akshat Dave ,
Ashok
Veeraraghavan ,
Ioannis Gkioulekas ,
Aswin C. Sankaranarayanan
ICCV , 2019  
(Oral Presentation)
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preprint /
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SNLOS: Non-line-of-sight Scanning through Temporal Focusing.
Adithya Pediredla* , Akshat Dave* , Ashok Veeraraghavan
ICCP , 2019 (*=Equally Contributed)
preprint
Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior
Akshat Dave , Anil Kumar Vadathya , Ramana Subramanyam , Rahul Baburajan , Kaushik Mitra
TCI , 2018
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code
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SILC: Smoother Imitation with Lipschitz Costs
Sapana Chaudhary* , Akshat Dave* , Balaraman Ravindran
ICML Workshop , 2018 (*=Equally Contributed)
pdf
Compressive Image Recovery Using Recurrent Generative Model
Akshat Dave , Anil Kumar Vadathya , Kaushik Mitra
ICIP , 2017
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IITMSAT Communications System – A LeanSat Design Approach
Akshay Gulati , Shubham Chavan , Akshat Dave , et al.
IAA Conference on University Satellites Missions & CubeSat Workshop , 2015
paper