Akshat Dave

I am an Postdoctoral Associate at MIT Media Lab in Camera Culture group led by Prof. Ramesh Raskar . I recently completed my Ph.D. from the Computational Imaging Lab at Rice University where I was 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 also worked 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.

Email  /  CV  /  Google Scholar  /  Twitter  /  Github

profile photo
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

Snapshot Polarimetric Diffuse-Specular Separation
Akshat Dave, Yannick Hold-Geoffroy, Milos Hasan, Kalyan Sunkavalli, Ashok Veeraraghavan
Optics Express, 2022
paper/ video

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

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

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

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

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

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

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

SILC: Smoother Imitation with Lipschitz Costs
Sapana Chaudhary*, Akshat Dave*, Balaraman Ravindran
ICML Workshop, 2018 (*=Equally Contributed)

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

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

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