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

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

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