Scholar
Connor Hashemi
Google Scholar ID: 2kmKNnUAAAAJ
Computer Vision R&D Engineer, Kitware
Citations & Impact
Citations
127
H-index
7
i10-index
3
Publications
17
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Successfully defended PhD thesis titled “Low-Signal Passive Non-Line-of-Sight Imaging” in November 2023.
- Presented “Blind Unmixing of Passively-Scattered Multispectral Light” at Optica COSI 2023 (Boston).
- Published two papers at IEEE ICCP 2023 (Madison): “Parallax-Driven Denoising of Passive Non-Line-of-Sight Thermal Imagery” and “Isolating Signals in Passive Non-Line-of-Sight Imaging using Spectral Content” (latter accepted to TPAMI Special Issue).
- Poster presentation on “Removing Unwanted Signals using Spectral Content in Passively-Scattered Light” at 3M/UMN poster session (June 2023).
- Amazon workshop paper on “Extracting Robust Representations of Invoice Images for Automated Forgery Detection” (December 2021).
- Winner of the Naval Horizons Challenge (January 2021).
- Oral presentation of “Exploiting the Visible Spectrum to Look Around Corners” at COSI 2020.
- Poster presentation of “Exploiting Light Field Spectra for Passive NLoS Imaging” at IMA Workshop for Computational Imaging (October 2019).
- Published in journals including JOSA A (2020), Optics Express (2021), co-authored with James R. Leger.
Background
- Currently a Senior Research and Development Researcher at Kitware in computer vision.
- Primary research focus is computational imaging, at the intersection of optics, signal processing, and computer vision.
- PhD thesis centered on achieving noiseless and clutterless reconstructions in passive non-line-of-sight (NLOS) imaging using unconventional information.
- Current work includes event-based imaging with neuromorphic cameras and foundation models for underwater acoustics.
- Expertise includes inverse problems, machine learning, data fusion, and programming.
