Joshua Rapp

- Phone: 617-621-7515
- Email:
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Position:
Research / Technical Staff
Research Scientist -
Education:
Ph.D., Boston University, 2020 -
Research Areas:
External Links:
Joshua's Quick Links
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Biography
Josh's research lies at the intersection of optics, electronics, signal processing, and computer vision. His doctoral thesis investigated probabilistic models to improve the performance of single-photon lidar under real-world conditions. Prior to joining MERL, Josh was a postdoctoral researcher at Stanford University. He received a Best Student Paper award at the IEEE International Conference on Image Processing (ICIP) in 2018 and the IEEE SPS Young Author Best Paper award in 2020. His current research interests include computational imaging, statistical signal processing, and active sensing methods.
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Recent News & Events
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EVENT MERL Contributes to ICASSP 2023 Date: Sunday, June 4, 2023 - Saturday, June 10, 2023
Location: Rhodes Island, Greece
MERL Contacts: Petros T. Boufounos; Francois Germain; Toshiaki Koike-Akino; Jonathan Le Roux; Dehong Liu; Suhas Lohit; Yanting Ma; Hassan Mansour; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Signal Processing, Speech & AudioBrief- MERL has made numerous contributions to both the organization and technical program of ICASSP 2023, which is being held in Rhodes Island, Greece from June 4-10, 2023.
Organization
Petros Boufounos is serving as General Co-Chair of the conference this year, where he has been involved in all aspects of conference planning and execution.
Perry Wang is the organizer of a special session on Radar-Assisted Perception (RAP), which will be held on Wednesday, June 7. The session will feature talks on signal processing and deep learning for radar perception, pose estimation, and mutual interference mitigation with speakers from both academia (Carnegie Mellon University, Virginia Tech, University of Illinois Urbana-Champaign) and industry (Mitsubishi Electric, Bosch, Waveye).
Anthony Vetro is the co-organizer of the Workshop on Signal Processing for Autonomous Systems (SPAS), which will be held on Monday, June 5, and feature invited talks from leaders in both academia and industry on timely topics related to autonomous systems.
Sponsorship
MERL is proud to be a Silver Patron of the conference and will participate in the student job fair on Thursday, June 8. Please join this session to learn more about employment opportunities at MERL, including openings for research scientists, post-docs, and interns.
MERL is pleased to be the sponsor of two IEEE Awards that will be presented at the conference. We congratulate Prof. Rabab Ward, the recipient of the 2023 IEEE Fourier Award for Signal Processing, and Prof. Alexander Waibel, the recipient of the 2023 IEEE James L. Flanagan Speech and Audio Processing Award.
Technical Program
MERL is presenting 13 papers in the main conference on a wide range of topics including source separation and speech enhancement, radar imaging, depth estimation, motor fault detection, time series recovery, and point clouds. One workshop paper has also been accepted for presentation on self-supervised music source separation.
Perry Wang has been invited to give a keynote talk on Wi-Fi sensing and related standards activities at the Workshop on Integrated Sensing and Communications (ISAC), which will be held on Sunday, June 4.
Additionally, Anthony Vetro will present a Perspective Talk on Physics-Grounded Machine Learning, which is scheduled for Thursday, June 8.
About ICASSP
ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
- MERL has made numerous contributions to both the organization and technical program of ICASSP 2023, which is being held in Rhodes Island, Greece from June 4-10, 2023.
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TALK [MERL Seminar Series 2022] Beyond the First Portrait of a Black Hole Date & Time: Tuesday, February 15, 2022; 1:00 PM EST
Speaker: Katie Bouman, California Institute of Technology
MERL Host: Joshua Rapp
Research Area: Computational SensingAbstractAs imaging requirements become more demanding, we must rely on increasingly sparse and/or noisy measurements that fail to paint a complete picture. Computational imaging pipelines, which replace optics with computation, have enabled image formation in situations that are impossible for conventional optical imaging. For instance, the first black hole image, published in 2019, was only made possible through the development of computational imaging pipelines that worked alongside an Earth-sized distributed telescope. However, remaining scientific questions motivate us to improve this computational telescope to see black hole phenomena still invisible to us and to meaningfully interpret the collected data. This talk will discuss how we are leveraging and building upon recent advances in machine learning in order to achieve more efficient uncertainty quantification of reconstructed images as well as to develop techniques that allow us to extract the evolving structure of our own Milky Way's black hole over the course of a night, perhaps even in three dimensions.
See All News & Events for Joshua -
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Awards
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AWARD Joshua Rapp wins Best Dissertation Award from the IEEE Signal Processing Society Date: December 20, 2021
Awarded to: Joshua Rapp
MERL Contact: Joshua Rapp
Research Areas: Computational Sensing, Signal ProcessingBrief- Joshua Rapp has won the 2021 Best PhD Dissertation Award from the IEEE Signal Processing Society.
The award recognizes a PhD thesis completed on a signal processing subject within the past three years for its relevant work in signal processing while stimulating further research in the field.
Dr. Rapp completed his PhD at Boston University in 2020 with a thesis entitled "Probabilistic Modeling for Single-Photon Lidar." The dissertation tackles challenges of the acquisition and processing of 3D depth maps reconstructed from time-of-flight data captured one photon at a time.
The award will be presented at the 2022 IEEE International Conference on Image Processing (ICIP) in France.
- Joshua Rapp has won the 2021 Best PhD Dissertation Award from the IEEE Signal Processing Society.
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MERL Publications
- "Phase Unwrapping in Correlated Noise for FMCW LIDAR Depth Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP49357.2023.10095456, May 2023, pp. 1-5.BibTeX TR2023-028 PDF
- @inproceedings{Ulvog2023may,
- author = {Ulvog, Alfred and Rapp, Joshua and Koike-Akino, Toshiaki and Mansour, Hassan and Boufounos, Petros T. and Parsons, Kieran},
- title = {Phase Unwrapping in Correlated Noise for FMCW LIDAR Depth Estimation},
- booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
- year = 2023,
- pages = {1--5},
- month = may,
- doi = {10.1109/ICASSP49357.2023.10095456},
- isbn = {978-1-7281-6327-7},
- url = {https://www.merl.com/publications/TR2023-028}
- }
, - "Maximum Likelihood Surface Profilometry via Optical Coherence Tomography", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/ICIP46576.2022.9897247, September 2022, pp. 1561-1565.BibTeX TR2022-117 PDF Video
- @inproceedings{Rapp2022sep,
- author = {Rapp, Joshua and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V. and Koike-Akino, Toshiaki and Parsons, Kieran},
- title = {Maximum Likelihood Surface Profilometry via Optical Coherence Tomography},
- booktitle = {IEEE International Conference on Image Processing (ICIP)},
- year = 2022,
- pages = {1561--1565},
- month = sep,
- doi = {10.1109/ICIP46576.2022.9897247},
- issn = {2381-8549},
- isbn = {978-1-6654-9620-9},
- url = {https://www.merl.com/publications/TR2022-117}
- }
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- "Phase Unwrapping in Correlated Noise for FMCW LIDAR Depth Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP49357.2023.10095456, May 2023, pp. 1-5.
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Other Publications
- "High-Flux Single-Photon Lidar", Optica, Vol. 8, No. 1, pp. 30-39, 2021. ,
- "Dithered depth imaging", Opt. Express, Vol. 28, No. 23, pp. 35143-35157, November 2020.BibTeX External
- @Article{Rapp2020dither,
- author = {Rapp, Joshua and Dawson, Robin M A and Goyal, Vivek K},
- title = {Dithered depth imaging},
- journal = {Opt. Express},
- year = 2020,
- volume = 28,
- number = 23,
- pages = {35143--35157},
- month = nov,
- url = {http://www.opticsexpress.org/abstract.cfm?URI=oe-28-23-35143}
- }
, - "Seeing Around Corners with Edge-Resolved Transient Imaging", Nature Communications, Vol. 11, pp. 5929, November 2020.BibTeX External
- @Article{Rapp2020nlos,
- author = {Rapp, Joshua and Saunders, Charles and Tachella, Julián and Murray-Bruce, John and Altmann, Yoann and Tourneret, Jean-Yves and McLaughlin, Stephen and Dawson, Robin M. A. and Wong, Franco N. C. and Goyal, Vivek K.},
- title = {Seeing Around Corners with Edge-Resolved Transient Imaging},
- journal = {Nature Communications},
- year = 2020,
- volume = 11,
- pages = 5929,
- month = nov,
- url = {http://www.nature.com/articles/s41467-020-19727-4}
- }
, - "Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances", IEEE Signal Processing Magazine, Vol. 37, No. 4, pp. 62-71, July 2020.BibTeX External
- @Article{Rapp2020spm,
- author = {Rapp, Joshua and Tachella, Julian and Altmann, Yoann and McLaughlin, Stephen and Goyal, Vivek K},
- title = {Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances},
- journal = {IEEE Signal Processing Magazine},
- year = 2020,
- volume = 37,
- number = 4,
- pages = {62--71},
- month = jul,
- url = {https://ieeexplore.ieee.org/document/9127841/}
- }
, - "Dead Time Compensation for High-Flux Ranging", IEEE Transactions on Signal Processing, October 2019.BibTeX External
- @Article{Rapp2018c,
- author = {Rapp, Joshua and Ma, Yanting and Dawson, Robin M. A. and Goyal, Vivek K.},
- title = {Dead Time Compensation for High-Flux Ranging},
- journal = {IEEE Transactions on Signal Processing},
- year = 2019,
- month = oct,
- url = {https://ieeexplore.ieee.org/document/8705308/}
- }
, - "Estimation From Quantized Gaussian Measurements: When and How to Use Dither", IEEE Transactions on Signal Processing, Vol. 67, No. 13, pp. 3424-3438, July 2019.BibTeX
- @Article{Rapp2018d,
- author = {Rapp, Joshua and Dawson, Robin M. A. and Goyal, Vivek K},
- title = {Estimation From Quantized Gaussian Measurements: When and How to Use Dither},
- journal = {IEEE Transactions on Signal Processing},
- year = 2019,
- volume = 67,
- number = 13,
- pages = {3424--3438},
- month = jul
- }
, - "Dead Time Compensation for High-Flux Depth Imaging", ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, pp. 7805-7809.BibTeX External
- @Inproceedings{RappMa2019a,
- author = {Rapp, Joshua and Ma, Yanting and Dawson, Robin M. A. and Goyal, Vivek K},
- title = {Dead Time Compensation for High-Flux Depth Imaging},
- booktitle = {{ICASSP} 2019 - 2019 {IEEE} {International} {Conference} on {Acoustics}, {Speech} and {Signal} {Processing} ({ICASSP})},
- year = 2019,
- pages = {7805--7809},
- month = may,
- url = {https://ieeexplore.ieee.org/document/8683805/}
- }
, - "Improving Lidar Depth Resolution With Dither", Proceedings of the IEEE International Conference on Image Processing, October 2018, pp. 1553-1557.BibTeX External
- @Inproceedings{Rapp2018b,
- author = {Rapp, Joshua and Dawson, Robin M. A. and Goyal, Vivek K},
- title = {Improving Lidar Depth Resolution With Dither},
- booktitle = {Proceedings of the {IEEE} {International} {Conference} on {Image} {Processing}},
- year = 2018,
- pages = {1553--1557},
- month = oct,
- url = {https://ieeexplore.ieee.org/document/8451528/}
- }
, - "A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging", IEEE Transactions on Computational Imaging, Vol. 3, No. 3, pp. 445-459, September 2017.BibTeX External
- @Article{Rapp2017,
- author = {Rapp, Joshua and Goyal, Vivek K},
- title = {A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging},
- journal = {IEEE Transactions on Computational Imaging},
- year = 2017,
- volume = 3,
- number = 3,
- pages = {445--459},
- month = sep,
- url = {https://ieeexplore.ieee.org/document/7932527/}
- }
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