Email:  ad74@mit.edu

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About Me

I am a Postdoctoral Associate at MIT Media Lab with Prof. Ramesh Raskar. I received my Ph.D. from Rice University ECE Department where I was advised by Prof. Ashok Veeraraghavan. My work has been recognized by Ralph Budd best thesis award, OSA best paper prize and fellowships by Texas Instruments and Qualcomm. I am on the 2024-2025 academic job market. Feel free to email me if you know of any relevant openings.

Research Overview

My research lies at the intersection of applied optics, computer graphics, and computer vision. I develop intelligent systems that can uncover visual information invisible to the human eye. Through beyond-visible visual computing, these systems can, for example, see beyond line-of-sight, reveal material properties of objects and detect internal mechanical stress. By perceiving beyond human limits, my research enables critical applications such as navigation in adverse conditions, non-invasive biomedical imaging and smart infrastructure monitoring.

My research leverages the synergy between imaging, rendering and learning using three thrusts:

  1. Computational imaging of unique light dimensions, such as polarization and time-of-flight.
  2. Differentiable rendering of complex light transport, such as scattering and birefringence.
  3. Physics-based learning to extract hidden information, such as through neural representations and priors.

News

Publications   ( show highlighted / show all by date / show by topic )
Keywords:  Polarization •  Time of Flight •  Single Photon •  Neural Rendering •  Deep Priors •  AR/VR •  Seeing Around Corners •  Stress Analysis
(* indicates equal contribution)















DeepIR: A Deep Network-based Image Processing Framework for Thermal Images
Vishwanath Saragadam , Akshat Dave , Ashok Veeraraghavan , Richard Baraniuk
IEEE/CVF International Conference on Computer Vision Workshop (ICCV Workshop) , 2021
[PDF] [Code]

Foveated Non-line-of-sight Imaging
Akshat Dave , Muralidhar Madabhushi Balaji , Prasanna Rangarajan , Ashok Veeraraghavan , Marc P Christensen
Conference on Computational Optical Sensing and Imaging (COSI) , 2020
[Link] [Paper] Best Paper Award


SNLOS: Non-line-of-sight Scanning through Temporal Focusing
Adithya Pediredla* , Akshat Dave* , Ashok Veeraraghavan
IEEE International Conference on Computational Photography (ICCP) , 2019
[Paper]


SILC: Smoother Imitation with Lipschitz Costs
Sapana Chaudhary* , Akshat Dave* , Balaraman Ravindran
International Conference on Machine Learning Workshop (ICML Workshop) , 2018
[PDF]


IITMSAT Communications System - A LeanSat Design Approach
Akshay Gulati , Shubham Chavan , Akshat Dave , et al.
IAA Conference on University Satellites Missions & CubeSat Workshop (USMCW) , 2015
[Paper]


Talks
  • [2024/06] Invited Talk @ TEDxBoston in 'Quin House
  • [2024/06] Invited Talk @ CCD Workshop in CVPR 2024
  • [2024/05] Invited Talk @ Janelia Computational Optics Conference 2024
  • [2024/02] Invited Talk @ Meta Polarization Workshop 2024
  • [2023/12] Doctoral Consortium @ SIGGRAPH Asia 2023
  • [2023/08] Course on Polarization @ SIGGRAPH 2023
  • [2023/08] Invited Talk @ University of Washington
  • [2023/04] Grundfest Lecture @ University of California, Los Angeles
  • [Show more]

TEDxBoston
The 'Quin House
Grundfest Lecture
UCLA
Honors and Awards

Professional Service


Design and source code modifed from Yuzhe Yang's webpage with permission.