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 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.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github

profile photo
Snapshot Polarimetric Diffuse-Specular Separation
Akshat Dave, Yannick Hold-Geoffroy,Milos Hasan,Kalyan Sunkavalli,Ashok Veeraraghavan
Optics Express, 2022 (To Appear)

PANDORA: Polarization-Aided Neural Decomposition Of Radiance
Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan
ECCV, 2022 (To Appear)
project page / paper / code / data

First Arrival Differential LiDAR
Tianyi Zhang, Akshat Dave*, Mel White*, Shahaboddin Ghajari, Ankit Raghuram , Alyosha C Molnar , Ashok Veeraraghavan
ICCP, 2022 (*=Equally Contributed)

DeepIR: A Deep Network-based Image Processing Framework for Thermal Images
Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan, Richard Baraniuk
ICCV Workshop, 2021
pdf / code / bibtex

Foveated Non-line-of-sight Imaging
Akshat Dave, Muralidhar Madabhushi Balaji, Prasanna Rangarajan, Ashok Veeraraghavan, Marc P Christensen
COSI, 2020   (Best Paper Award)
link / bibtex

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)
project page/ preprint/ supplement/ bibtex

SNLOS: Non-line-of-sight Scanning through Temporal Focusing.
Akshat Dave*, Adithya Pediredla*, Ashok Veeraraghavan
ICCP, 2019 (*=Equally Contributed)
preprint / bibtex

Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior
Akshat Dave, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan, Kaushik Mitra
TCI, 2018
preprint / code / bibtex

Compressive Image Recovery Using Recurrent Generative Model
Akshat Dave, Anil Kumar Vadathya, Kaushik Mitra
ICIP, 2017
project page / preprint / code / bibtex

iitmsat 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 / bibtex

The source code and design of this website is obtained from Dr. Jon Barron's personal website.