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Creators/Authors contains: "Kadambi, Achuta"

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  1. ; ; ; ; ; ; ; ; ; (, The 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems)
    Free, publicly-accessible full text available October 14, 2026
  2. ; ; (, SPIE)
    Prussing, Keith F; Manser, Kimberly E; De_Melo, Celso; Rao, Raghuveer M; Howell, Christopher L (Ed.)
    Free, publicly-accessible full text available May 29, 2026
  3. ; ; ; ; ; ; ; ; ; (, IEEE)
    Full Text Available 
  4. ; ; ; ; (, Nature Machine Intelligence)
    Full Text Available 
  5. ; ; ; ; (, International Conference on Computational Photography)
    Full Text Available 
  6. ; ; ; ; ; ; ; ; (, Synthetic Generation of Face Videos with Plethysmograph Physiology)
    Full Text Available 
  7. ; ; ; ; ; ; ; (, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  8. ; ; ; (, IEEE International Conference on Computational Photography)
    We propose a novel non-line-of-sight (NLOS) imaging framework with long-wave infrared (IR). At long-wave IR wavelengths, certain physical parameters are more favorable for high-fidelity reconstruction. In contrast to prior work in visible light NLOS, at long-wave IR wavelengths, the hidden heat source acts as a light source. This simplifies the problem to a single bounce problem. In addition, surface reflectance has a much stronger specular reflection in the long-wave IR spectrum than in the visible light spectrum. We reformulate a light transport model that leverages these favorable physical properties of long-wave IR. Specifically, we demonstrate 2D shape recovery and 3D localization of a hidden object. Furthermore, we demonstrate near real-time and robust NLOS pose estimation of a human figure, the first such demonstration, to our knowledge. 
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