2021

Journals & Conferences

	Abhishek Singh , Ayush Chopra , Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar“DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for deep neural networks.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021. [pdf]
	Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Ramesh Raskar“NoPeek-Infer: Preventing reconstruction attacks in distributed predictive inference after on-premise training” IEEE International Conference on Automatic Face and Gesture Recognition, 2021.
	Y Koda, J Park, M Bennis, P Vepakomma, R Raskar“AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning.” IEEE Global Communications Conference (IEEE GLOBECOM 2021). [pdf]
	Praneeth Vepakomma, Julia Balla, Ramesh Raskar “PrivateMail: Supervised Manifold Learning of Deep Features With Privacy for Image Retrieval.” arXiv preprint arXiv:2102.10802. [pdf]
	Praneeth Vepakomma, Subha Nawer Pushpita, Ramesh Raskar“Private measurement of nonlinear correlations between data hosted across multiple parties.” arXiv preprint arXiv:2110.09670. [pdf]
	Praneeth Vepakomma, Subha Nawer Pushpita, Ramesh Raskar“Parallel Quasi-concave set optimization: A new frontier that scales without needing submodularity.”SubSetML: Subset Selection in Machine Learning: From Theory to Practice @ ICML 2021. [pdf]
	Yongyi Zhao, Ankit Raghuram, Hyun K. Kim, Andreas H. Hielscher, Jacob T. Robinson, Ashok Veeraraghavan“High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography.”IEEE Transactions on Pattern Analysis and Machine Intelligence (2021). [pdf]
	Vishwanath Saragadam, Michael De Zeeuw, Richard G. Baraniuk, Ashok Veeraraghavan and Aswin C. Sankaranarayanan“SASSI — Super-pixelated Adaptive Spatio-Spectral Imaging.” In IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI) / Special Issue of ICCP, volume 43, no. 07, pp. 2233-2244, 2021. [pdf]
	Jeremy Klotz, Vijay Rengarajan and Aswin C. Sankaranarayanan“Fine-Grain Prediction of Strawberry Freshness using Subsurface Scattering.” In ICCV Workshop on Large-Scale Fine-Grained Food AnalysIs (LargeFineFoodAI), 2021. [pdf]
	Chen, Wei-Yu, et al. “Reference Wave Design for Wavefront Sensing.” 2021 IEEE International Conference on Computational Photography (ICCP). IEEE, 2021. [pdf]

2020

Journals & Conferences

	Yi Hua, Shigeki Nakamura, M. Salman Asif and Aswin C. Sankaranarayanan“SweepCam — Depth-aware Lensless Imaging using Programmable Masks.” In IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI) / Special Issue of ICCP 2020, volume 42, pp. 1606–1617, 2020. [pdf]
	Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan and Aswin C. Sankaranarayanan“3PointTM: Faster Measurement of High-Dimensional Transmission Matrices.” Euro. Conf. Computer Vision (ECCV), 2020. [pdf]
	Matteo Giuseppe Scopelliti, Hengji Huang, Adithya Pediredla, Srinivasa Narasimhan, Ioannis Gkioulekas, and Maysam Chamanzar “Overcoming the tradeoff between confinement and focal distance using virtual ultrasonic optical waveguides.” Optics Express (2020). [pdf]
	Lingbo Jin, Yubo Tang, Yicheng Wu, Jackson B. Coole, Melody T. Tan, Xuan Zhao, Hawraa Badaoui et al. “Deep learning extended depth-of-field microscope for fast and slide-free histology.” Proceedings of the National Academy of Sciences (2020). [pdf]
	Adithya Pediredla, Yasin Karimi Chalmiani, Matteo Giuseppe Scopelliti, Maysam Chamanzar, Srinivasa Narasimhan, and Ioannis Gkioulekas. “Path Tracing Estimators for Refractive Radiative Transfer”.ACM Transactions on Graphics (TOG) (2020). [pdf]
	Chen Bar, Ioannis Gkioulekas, and Anat Levin. “Rendering Near-Field Speckle Statistics in Scattering Media”.ACM Transactions on Graphics (TOG) (2020). [pdf]
	Alankar Kotwal, Anat Levin, and Ioannis Gkioulekas. “Interferometric Transmission Probing with Coded Mutual Intensity”.ACM Trans. Graph. 39, no.4 (2020). [pdf]
	Fujun Luan, Shuang Zhao, Kavita Bala, and Ioannis Gkioulekas. “Langevin Monte Carlo Rendering with Gradient-based Adaptation”.ACM Trans. Graph. 39, no.4 (2020). [pdf]
	Cheng Zhang, Bailey Miller, Kai Yan, Ioannis Gkioulekas, and Shuang Zhao. “Path-Space Differentiable Rendering”.ACM Trans. Graph. 39, no.4 (2020): 143:1–143:19. [pdf]
	Kfir Shem-Tov, Sai Praveen Bangaru, Anat Levin, and Ioannis Gkioulekas. “Towards Reflectometry from Interreflections.” In 2020 IEEE International Conference on Computational Photography (ICCP), pp. 1-12. IEEE, 2020. [pdf]
	Yubo Tang, Alex Kortum, Sonia G. Parra, Imran Vohra, Andrea Milbourne, Preetha Ramalingam, Paul A. Toscano, Kathleen M. Schmeler, and Rebecca R. Richards-Kortum. “In vivo imaging of cervical precancer using a low-cost and easy-to-use confocal microendoscope.” Biomedical Optics Express 11, no. 1 (2020): 269-280. [pdf]
	Vishwanath Saragadam, and Aswin C. Sankaranarayanan. “Programmable Spectrometry–Per-pixel Classification of Materials using Learned Spectral Filters.” arXiv preprint arXiv:1905.04815 (2019). [pdf]
	Chao Liu, Akash Maity, Artur W. Dubrawski, Ashutosh Sabharwal and Srinivasa Narasimhan. “High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging” IEEE International Conference on Computational Photography (ICCP) (2020). [pdf]
	Chengqian Che, Fujun Luan, Shuang Zhao, Kavita Bala, and Ioannis Gkioulekas. “Towards Learning-based Inverse Subsurface Scattering” IEEE International Conference on Computational Photography (ICCP) (2020). [pdf]
	Vishwanath Saragadam, and Aswin Sankaranarayanan. “On Space-spectrum Uncertainty Analysis for Coded Aperture Systems.” arXiv preprint arXiv:1911.06956 (2019). [pdf]
	Mel White, Vivek Boominathan, Ashok Veeraraghavan, Alyosha Molnar. (2020). “On-Chip Optical and Analog Processing in 180nm CMOS for Holography” 863-867. 10.1109/IEEECONF51394.2020.9443533 (2019). [pdf]

2019

Journals & Conferences

	Manoj Yasin Karimi, Matteo Giuseppe Scopelliti, Ninh Do, Mohammad-Reza Alam, and Maysamreza Chamanzar “In situ 3D reconfigurable ultrasonically sculpted optical beam paths.” Optics express 27, no. 5 (2019): 7249-7265 (2019). [pdf]
	Manoj Sharma, Christopher A. Metzler, Sudarshan Nagesh, Oliver Cossairt, Richard G. Baraniuk, and Ashok Veeraraghavan. “Inverse scattering via transmission matrices: Broadband illumination and fast phase retrieval algorithms.” IEEE Transactions on Computational Imaging (2019). [pdf]
	Hiroyuki Kubo, Suren Jayasuriya, Takafumi Iwaguchi, Takuya Funatomi, Yasuhiro Mukaigawa, and Srinivasa G. Narasimhan. “Programmable Non-Epipolar Indirect Light Transport: Capture and Analysis.” IEEE transactions on visualization and computer graphics (2019). [pdf]
	Yubo Tang, Alex Kortum, Imran Vohra, Jennifer Carns, Sharmila Anandasabapathy, and Rebecca Richards-Kortum. “Simple differential digital confocal aperture to improve axial response of line-scanning confocal microendoscopes.” Optics letters 44, no. 18 (2019): 4519-4522. [pdf]
	Aidan Curtis, Amruta Pai, Jian Cao, Nidal Moukaddam, and Ashutosh Sabharwal. “HealthSense: Software-defined Mobile-based Clinical Trials.” In The 25th Annual International Conference on Mobile Computing and Networking, pp. 1-15. 2019. [pdf]
	Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, and Srinivasa G. Narasimhan. “Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8699-8708. 2019. [pdf]
	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]
	Liu, Sicong, et al. “Privacy Adversarial Network: Representation Learning for Mobile Data Privacy.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3.4 (2019): 1-18. [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]