2019

Journals & Conferences

Chen Bar, Marina Alterman, Ioannis Gkioulekas, and Anat Levin. “Exploiting speckle statistics in random media beyond the diffusion limit.” In Computational Optical Sensing and Imaging, pp. CTu4A-4. Optical Society of America, 2019. [pdf]
Chen Bar, Marina Alterman, Ioannis Gkioulekas, and Anat Levin. “Monte-Carlo simulation of the memory effect in random media beyond the diffusion limit.” In Optical Coherence Imaging Techniques and Imaging in Scattering Media III, vol. 11078, p. 110780B. International Society for Optics and Photonics, 2019. [pdf]
Cheng Zhang, Lifan Wu, Changxi Zheng, Ravi Ramamoorthi, Ioannis Gkioulekas, Shuang Zhao, “A Differential Theory of Radiative Transfer,” ACM Transactions on Graphics (SIGGRAPH Asia), 2019 [pdf]
Shumian Xin, Sotiris Nousias, Kiriakos N. Kutulakos, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, and Ioannis Gkioulekas. “A theory of Fermat paths for non-line-of-sight shape reconstruction.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6800-6809. 2019. [pdf]
Chia-YinTsai, Aswin C. Sankaranarayanan, and Ioannis Gkioulekas. “Beyond Volumetric Albedo–A Surface Optimization Framework for Non-Line-Of-Sight Imaging.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1545-1555. 2019. [pdf]
Chen Bar, Marina Alterman, Ioannis Gkioulekas, and Anat Levin. “A Monte Carlo framework for rendering speckle statistics in scattering media.” ACM Transactions on Graphics (SIGGRAPH), 2019. [pdf]
Byeongjoo Ahn, Akshat Dave, Ashok Veeraraghavan, Ioannis Gkioulekas, and Aswin C. Sankaranarayanan. “Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator.” In Proceedings of the IEEE International Conference on Computer Vision (ICCV), pp. 7889-7899. 2019. [pdf]
Matteo Giuseppe Scopelliti, and Maysamreza Chamanzar. “Ultrasonically sculpted virtual relay lens for in situ microimaging.” Light: Science & Applications 8.1 (2019): 65. [paper]
Adithya Pediredla, Ashok Veeraraghavan, and Ioannis Gkioulekas. “Ellipsoidal path connections for time-gated rendering.” ACM Transactions on Graphics (TOG) 38.4 (2019): 38. [pdf]
Ankit Raghuram, Adithya Pediredla, Srinivasa G. Narasimhan, Ioannis Gkioulekas, and Ashok Veeraraghavan. “STORM: Super-resolving Transients by OveRsampled Measurements.” In 2019 IEEE International Conference on Computational Photography (ICCP), pp. 1-11. IEEE, 2019. [pdf]
Adithya Pediredla, Akshat Dave, and Ashok Veeraraghavan. “Snlos: Non-line-of-sight scanning through temporal focusing.” 2019 IEEE International Conference on Computational Photography (ICCP). IEEE, 2019. [pdf]
Yicheng Wu, Vivek Boominathan, Huaijin Chen, Aswin Sankaranarayanan, and Ashok Veeraraghavan. “PhaseCam3D: Learning Phase Masks for Passive Single View Depth Estimation.” IEEE International Conference on Computational Photography (ICCP), 2019 [pdf]
Yicheng Wu, Manoj Kumar Sharma, and Ashok Veeraraghavan. “WISH: wavefront imaging sensor with high resolution.” Light: Science & Applications 8.1 (2019): 44. [pdf]
Yubo Tang, Alex Kortum, Imran Vohra, Mohamed Othman, Sadhna Dhingra, Nabil Mansour, Jennifer Carns, Sharmila Anandasabapathy, and Rebecca Richards-Kortum. “Improving nuclear morphometry imaging with real-time and low-cost line-scanning confocal microendoscope.” Optics Letters 44, no. 3 (2019): 654-657. [pdf]
Min Hong Yun and Lin Zhong, “Ginseng: Keeping secrets in registers when you distrust the operating system,” in Proc. of Network and Distributed System Security Symposium (NDSS), February 2019. [pdf]
Sicong Liu, Anshumali Shrivastava, Junzhao Du, and Lin Zhong. “Better accuracy with quantified privacy: representations learned via reconstructive adversarial network.” arXiv preprint arXiv:1901.08730 (2019). [pdf]

Keynotes & Presentations

Vishwanath Saragadam, “Adaptive Spectral Imaging,” at Talk at University of Maryland, College Park, Sept 2019. [NONE]
Vishwanath Saragadam, “Adaptive Spectral Imaging,” at Talk at Johns Hopkins University, Sept 2019. [NONE]
Ioannis Gkioulekas, “Towards coherent computational imaging,” ICERM Workshop on Computational Imaging, March 2019 (invited talk). [NONE]
Srinivasa Narasimhan, Ramesh Raskar, Ioannis Gkioulekas, “Optical high-resolution imaging deep inside the body”, BIRS Computational Light Transport Workshop, Banff International Research Station, 2019 (invited panel). [NONE]

Dissertations

Adithya Pediredla, “Rendering and Imaging with Transients: A Study of Computational Photography with Scattered Photons,” Ph.D., Rice University, February 2019. [NONE]

2018

Journals & Conferences

Yubo Tang, Alexandros D. Polydorides, Sharmila Anandasabapathy, and Rebecca R. Richards-Kortum. “Quantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polyps.” Journal of biomedical optics 23, no. 11 (2018): 116003. [pdf]
Guy Satat, Matthew Tancik, and Ramesh Raskar. “Imaging Through Volumetric Scattering with a Single Photon Sensitive Camera.” In Mathematics in Imaging, pp. MM5D-2. Optical Society of America, 2018.[pdf]
Christopher R. Kannady, Richard A. Schwarz, Jennifer Carns, Katelin D. Cherry, Imran Vohra, Yubo Tang, Timothy Quang, Jonathan Clavell Hernandez, Rebecca Richards-Kortum, and Nadeem Dhanani. “In vivo microscopic imaging of bladder lesions.” The Journal of Urology 199, no. 4 (2018): e336. [pdf]
Chris Metzler, Ali Mousavi, Reinhard Heckel, and Richard G. Baraniuk. “Unsupervised Learning with Stein’s Unbiased Risk Estimator.” arXiv preprint arXiv:1805.10531 (2018). [pdf]

Keynotes & Presentations

Artur Dubrawski, “Making Difference with Machine Learning”, 2nd MLinPL Conference, Warsaw, Poland, December 2018 (invited). [NONE]
Artur Dubrawski, “Making Difference in the Real World with Artificial Intelligence”, Phillips, Pittsburgh, PA, September 2018 (invited tutorial).  [NONE]
Artur Dubrawski, “Emerging Applications of Artificial Intelligence”, The Bureau of Industry and Security BIS 2018 Annual Conference on Export Controls and Policy, US Department of Commerce, Washington, DC, May 14, 2018 (invited keynote). [NONE]

Dissertations

Chris Metzler, “Data-Driven Computational Imaging: With Application to Imaging Through and Around Obstacles,” Ph.D., Rice University, December 2018. [NONE]
Amruta Pai, “HRVCam: Measuring heart rate variability with a camera,” M.S, Rice University, December 2018. [NONE]
Akash Maity, “A robust algorithm for identification of motion artifacts in photoplethysmography signals,” M.S, Rice University, December 2018. [NONE]
Mayank Kumar, “PulseCam: Design, development and clinical evaluation of a new multi-sensor camera-based blood perfusion imaging modality,” Ph.D., Rice University, April 2018. [NONE]