Atul Ingle

Postdoctoral Research Associate

University of Wisconsin-Madison

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Imagine a camera with orders of magnitude higher dynamic range than the human eye. Imagine a camera that can capture laser-scan quality 3D structures from several miles away. Imagine a camera that can "see" inside the human body without invasive surgical procedures.

I design cameras of the future that can visualize structures and phenomena that are otherwise invisible to the human eye.

My research is in the field of computational imaging, at the intersection of optics, image sensors, signal processing, and machine learning. Recently, I have been working with single-photon avalanche diodes, an extremely sensitive sensor technology capable of detecting ultra-low intensity light, down to individual photons.

This technology has implications for myriad applications—from astronomy to microscopy, consumer photography to medical imaging, from autonomous driving to industrial machine vision.

News

  • I am currently on the job market for tenure-track faculty positions in ECE/CS (computational imaging, signal processing). Curriculum Vitae

  • September 2020 My talk on single-photon 3D cameras won the Best Blitz Talk (People's Choice) Award at the UW-Madison Postdoctoral Research Symposium.

  • May 2020 Talk at SPIE-DCS 2020

  • November 2019 Our paper on single-photon 3D imaging won the Marr Prize Honorable Mention award at ICCV 2019 in Seoul, South Korea.

  • June 2019 Two oral presentations at CVPR 2019 in Long Beach, CA.

Bio

​I received the Ph.D. in Electrical Engineering from the University of Wisconsin-Madison in 2015. My research interests include computational imaging and signal processing. I was a visiting ultrasound R&D engineer at Philips Healthcare in Andover, MA in 2013 and 2014 and a Research Scientist at Fitbit, Inc. in Boston, MA in 2016-2017. I am currently a postdoctoral researcher in the Departments of Computer Science and Biostatistics at University of Wisconsin-Madison.

 

Recent Projects

Some of my recent work focuses on single-photon computational imaging. Single-photon cameras are an emerging sensor technology with extreme sensitivity down to individual photons. They have the potential to enable extreme imaging applications that are beyond the capabilities of conventional cameras.

Single-Photon 3D Imaging

ICCV 2019 Marr Prize Honorable Mention

Extreme sensitivity is a double-edged sword. Single-photon detectors suffer from severe distortion when operated in bright sunlight; they get overwhelmed by background photons. We develop optimal data acquisition strategies that mitigate this distortion and enable high resolution 3D imaging even under bright sunlight.

Single-Photon LiDAR in High Ambient Light

CVPR 2019 oral presentation

What is the optimal photon flux condition a single-photon LiDAR should be operated in? We answer this question theoretically and also build a hardware prototype to show improved 3D reconstruction performance.

Passive Imaging with SPADs

CVPR 2019 oral presentation

Single-photon sensors are typically used in active imaging applications like LiDAR. We ask: what information can single-photon sensors provide for passive imaging? By exploiting the non-linear response characteristics we show a single-photon camera can provide over 1,000,000:1 in dynamic range.

 

Publications

Journals

A. Ingle, T. Varghese, ‘‘A kernel smoothing algorithm for ablation visualization in ultrasound elastography,’’ Ultrasonics (2019).

A. Ingle, T. Varghese, W. Sethares ‘‘Efficient 3D Reconstruction in Ultrasound Elastography via a Sparse Iteration based on Markov Random Fields,’’ IEEE Trans. Ultrason. Ferroelectr. Freq. Control (2016).

W. Yang, T. Ziemlewicz, T. Varghese, M. Alexander, N. Rubert, A. Ingle, M. Lubner, J. Hinshaw, F. Lee Jr., J.A. Zagzebski, ‘‘Post-Procedure Evaluation of Microwave Ablations of Hepatocellular Carcinomas using Electrode Displacement Elastography,’’ Ultrasound in Med. Biol., vol. 42, no. 12, pp. 2893 (2016).

W. Yang, A. Ingle, T. Varghese, ‘‘Comparison of Three Dimensional Strain Volume Reconstructions using SOUPR and Wobbler Based Acquisitions: A Phantom Study,’’ Med. Phys., vol. 43, no. 4, pp. 1615 (2016).

A. Ingle, C. Ma, T. Varghese, ‘‘Ultrasonic Tracking of Shear Waves using a Particle Filter,’’ Med. Phys., vol. 42, no. 11, pp. 6711–6725 (2015).

A. Ingle, J. Bucklew, W. Sethares, T. Varghese, ‘‘Slope Estimation in Noisy Piecewise Linear Functions,’’ Signal Processing, vol. 108, pp. 576–588 (March 2015).

A. Ingle, T. Varghese, ‘‘Three Dimensional Sheaf of Ultrasound Planes Reconstruction (SOUPR) of Ablated Volumes,’’ IEEE Trans. Med. Imag. , vol. 33, no. 8, pp. 1677–1688 (2014).

A. Ingle, W. Sethares, ‘‘The least-squares invertible constant-Q spectrogram and its application to phase vocoding,’’ J. Acoust. Soc. Am., vol. 132, no. 2, pp. 894–903 (2012).

 

Conferences

A. Gupta*, A. Ingle*, M. Gupta, ‘‘Asynchronous Single-Photon 3D Imaging,’’ Proc. ICCV 2019. (*equal)

Best Paper (Marr Prize) Honorable Mention Award

A. Ingle, A. Velten, M. Gupta, ‘‘High-Flux Passive Imaging with Single-Photon Sensors,’’ Proc. CVPR 2019.

oral presentation

A. Gupta, A. Ingle, A. Velten, M. Gupta, ‘‘Photon-Flooded Single-Photon 3D Cameras,’’ Proc. CVPR 2019.

oral presentation

William Sethares, A. Ingle, Tomas Krc, Sally Wood ‘‘Eigentextures: An SVD Approach to Automated Paper Classification,’’ Asilomar 2014.

A. Ingle, William Sethares, Tomy Varghese, James Bucklew, ‘‘Piecewise Linear Slope Estimation,’’ Asilomar 2014.

A. Ingle, T. Varghese, W. Sethares, J. Bucklew, ‘‘Stochastic Piecewise Linear Function Fitting with Application to Ultrasound Shear Wave Imaging,’’ IEEE EMBC 2014.

A. Ingle, T. Varghese, ‘‘Three Dimensional Shear Wave Elastographic Reconstruction of Ablations,’’ IEEE EMBC 2014.

A. Ingle, T. Varghese, ‘‘C-plane Reconstructions from Sheaf Acquisition for Ultrasound Electrode Vibration Elastography,’’ IEEE Ultrasonics Symposium 2014.

A. Gutierrez, C. Hohberger, F.D. Nicolalde, A. Ingle, W. Hochschild, R. Davis, and R. Veeramani, ‘‘High-Frequency RFID Tag Survivability in Harsh Environments,’’ in Proc. IEEE Int RFID Conf, pp. 58–65, May 2013.

A. Ingle, T. Varghese, ‘‘A Comparison of Model Based and Direct Optimization Based Filtering Algorithms for Shear Wave Velocity Reconstruction for Electrode Vibration Elastography,’’ in Proc. Int. Symp. Biomed. Imag., Apr. 2013.

 

© 2020 by Atul Ingle.

Contact

1300 University Ave Rm 5745

Madison WI, 53706 USA

lastname at cs dot wisc dot edu

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