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Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection

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Camera Culture

Camera Culture

Publication

Split Inference - Metrics, Benchmarks and Algorithms

Abhishek Singh, Split Inference - Metrics, Benchmarks and Algorithms, ECCV'24

Publication

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Zaid Tasneem, DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images, ECCV'24

Publication

Handheld Mapping of Specular Surfaces using Consumer-grade Flash Lidar.

Tsung-Han Lin, Connor Henley, Siddharth Somasundaram, Akshat Dave, Moshe Laifenfeld, and Ramesh Raskar. Handheld mapping of specular surfaces using consumer-grade flash lidar. In IEEE International Conference on Computational Photography (ICCP), 2024.

Publication

Decentralized AI Round Table 1: July 29, 2024

Publication

A Perspective on Decentralizing AI

Whitepaper

Publication

PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar

Klinghoffer, Tzofi, et al. "PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar." IEEE Conference on Computer Vision and Pattern Recognition (2024).

Publication

flame: A Framework for Learning in Agent-based ModEls

Chopra, Ayush, et al. "flame: A Framework for Learning in Agent-based ModEls." Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems. 2024.

Publication

Posthoc privacy guarantees for collaborative inference

Singh, Abhishek, et al. "Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release." Advances in Neural Information Processing Systems 36 (2024).

Publication

Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release

Singh, Abhishek, et al. "Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release." Thirty-seventh Conference on Neural Information Processing Systems. 2023.

Publication

DiSER: Designing Imaging Systems with Reinforcement Learning

Klinghoffer, Tzofi, et al. "DISeR: Designing Imaging Systems with Reinforcement Learning." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.

Publication

Federated Conformal Predictors for Distributed Uncertainty Quantification

Lu, C.*, Yu, Y.*, Karimireddy, S. P., Jordan, M. I., & Raskar, R. (2023). Federated Conformal Predictors for Distributed Uncertainty Quantification. Fortieth International Conference on Machine Learning (ICML 2023)

Publication

Conformal Prediction with Large Language Models for Multi-Choice Question Answering

Kumar, B.*, Lu, C.*, Gupta, G., Palepu, A., Bellamy, D., Raskar, R., & Beam, A. "Conformal Prediction with Large Language Models for Multi-Choice Question Answering." Neural Conversational AI Workshop at ICML 2023.

Publication

Splintering: A resource-efficient and private scheme for distributed matrix inverse

Publication

Parallel quasi-concave set function optimization for scalability even without submodularity

Publication

ORCa: Glossy Objects as Radiance-Field Cameras

Kushagra Tiwary, Akshat Dave, Nikhil Behari, Tzofi Klinghoffer, Ashok Veeraraghavan, Ramesh Raskar. "ORCa: Glossy Objects as Radiance-Field Cameras." Conference on Computer Vision and Pattern Recognition.

Publication

Detection and Mapping of Specular Surfaces Using Multibounce Lidar Returns

Connor Henley, Siddharth Somasundaram, Joseph Hollmann, and Ramesh Raskar, "Detection and mapping of specular surfaces using multibounce LiDAR returns," Opt. Express 31, 6370-6388 (2023).

Publication

Formal privacy guarantees for neural network queries by estimating local Lipschitz constant

Formal Privacy Guarantees for Neural Network queries by estimating local Lipschitz constant

Publication

Private independence testing across two parties

Private independence testing across two parties

Publication

Effects of Privacy-Inducing Noise on Welfare and Influence of Referendum Systems

Suat Evren, Praneeth Vepakomma

Publication

NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training

Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar, IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2021

Publication

Private measurement of nonlinear correlations between data hosted across multiple parties

Praneeth Vepakomma, Subha Nawer Pushpita, Ramesh Raskar

Publication

NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training

NoPeek-Infer: Preventing face reconstruction attacks in distributed inference after on-premise training

Publication

ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors

Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy. "ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors". International Conference on Computer Vision (ICCV) 2021

Publication

Objects As Cameras: Estimating High-Frequency Illumination From Shadows

Tristan Swedish, Connor Henley, Ramesh Raskar; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 2593-2602

Publication

AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning

IEEE Global Communications Conference (GLOBECOM), 2021

Publication

Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval

Vepakomma, Praneeth et al. Differentially Private Supervised Manifold Learning with Applications like Private Image Retrieval. arXiv:2102.10802v1 [cs.LG] 22 Feb 2021

Publication

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Xiao Zeng, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram and Salman Avestimehr. "FedML: A Research Library and Benchmark for Federated Machine Learning." NeurIPS-SpicyFL 2020. (Baidu Best Paper Award)

Publication

DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing

DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing, Praneeth Vepakomma, Subha Nawer Pushpita and Ramesh Raskar, PPML (Privacy Preserving Machine Learning workshop) at NeurIPS

Publication

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation

Abhishek Singh, Ayush Chopra, Praneeth Vepakomma, Ethan Z Garza, Vivek Sharma, , Ramesh Raskar. "DISCO: Dynamic and Invariant Sensitive Channel Obfuscation." CVPR 2021

Publication

Imaging Behind Occluders Using Two-Bounce Light

Henley, C., Maeda, T., Swedish, T., & Raskar, R. (2020). Imaging Behind Occluders Using Two-Bounce Light. Computer Vision – ECCV 2020 Lecture Notes in Computer Science, 573-588. doi:10.1007/978-3-030-58526-6_34

Publication

Splintering with distributions: A stochastic decoy scheme for private computation

Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.

Publication

Advances and Open Problems in Federated Learning

Peter Kairouz, H. Brendan McMahan, et al. "Advances and Open Problems in Federated Learning." arXiv:1912.04977 [cs.LG] 10 Dec 2019.

Publication

ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations

Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree KalpathyCramer, and Ramesh Raskar. In NeurIPS Workshop on Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy, 2019

Publication

Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest

Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, GN Prasanna, Ramesh Raskar

Publication

ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries

Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar. In NeurIPS Workshop on Machine learning for the Developing World (ML4D), 2019

Publication

Detailed comparison of communication efficiency of split learning and federated learning,

Praneeth Vepakomma, et al. "Detailed comparison of communication efficiency of split learning and federated learning." arXiv:1909.09145v1 [cs.LG] 18 Sep 2019.

Publication

Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm

Diverse data selection via combinatorial quasi-concavity of distance covariance: A polynomial time global minimax algorithm, Praneeth Vepakomma, Yulia Kempner

Publication

Data Markets to support AI for All: Pricing, Valuation and Governance

Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish, Aalekh Sharan. Data Markets to support AI for All: Pricing, Valuation and Governance, arXiv:1905.06462 (2019).

Publication

Reducing leakage in distributed deep learning for sensitive health data

Praneeth Vepakomma, Otkrist Gupta, Abhimanyu Dubey, Ramesh Raskar. Reducing Leakage in Distributed Deep Learning for Sensitive Health Data, ICLR 2019 AI for Social Good Workshop (2019).

Publication

Light-Field for RF

Light-Field for RF. Manikanta Kotaru, Guy Satat, Ramesh Raskar, Sachin Katti, arXiv:1901.03953 (2019).

Publication

A Review of Homomorphic Encryption Libraries for Secure Computation

Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar, Ranjan Ramachandra, Santanu Bhattacharya. arXiv:1812.02428

Publication

Split learning for health: Distributed deep learning without sharing raw patient data

Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar. Split learning for health: Distributed deep learning without sharing raw patient data, arXiv.org, ICLR 2019 AI for Social Good Workshop (2018).

Publication

Flash Photography for Data-Driven Hidden Scene Recovery

Flash Photography for Data-Driven Hidden Scene Recovery. Matthew Tancik, Guy Satat, Ramesh Raskar, arXiv:1810.11710 (2018).

Publication

Photography optics in the time dimension

Heshmat, B., Tancik, M., Satat, G. & Raskar, R. Photography optics in the time dimension. Nature Photonics 12, 560–566 (2018). 10.1038/s41566-018-0234-0

Publication

Towards Photography Through Realistic Fog

G. Satat, M. Tancik and R. Raskar, "Towards Photography Through Realistic Fog", IEEE International Conference on Computational Photography (ICCP), (2018).

Publication

Rethinking Machine Vision Time of Flight With GHz Heterodyning

Kadambi, Achuta and Raskar, Ramesh, Rethinking Machine Vision Time of Flight with GHz Heterodyning, IEEE Access 2017

Publication

Calibration Invariant Imaging with Deep Learning

Guy Satat, Matthew Tancik, Otkrist Gupta, Barmak Heshmat, and Ramesh Raskar, "Object classification through scattering media with deep learning on time resolved measurement," Opt. Express 25, 17466-17479 (2017)

Publication

Polarized 3D Cameras for high-quality 3D scanning

Kadambi, Achuta, et al. "Depth Sensing Using Geometrically Constrained Polarization Normals." International Journal of Computer Vision 125.1-3 (2017): 34-51.

Publication

Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition

Munehiko Sato, Rohan S. Puri, Alex Olwal, Yosuke Ushigome, Lukas Franciszkiewicz, Deepak Chandra, Ivan Poupyrev, and Ramesh Raskar. 2017. Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3972-3985.

Publication

Femto-Photography: Capturing Light in Motion

A Jarabo, B Masia, A Velten, R Raskar, D Gutiérrez Jornada de Jóvenes Investigadores del I3A, 2017

Publication

Designing Neural Network Architectures using Reinforcement Learning

Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar arXiv preprint arXiv:1611.02167

Publication

LRA: Local Rigid Averaging of Stretchable Non-rigid Shapes

Raviv, D., Bayro-Corrochano, E. & Raskar, R. Int J Comput Vis (2017). doi:10.1007/s11263-017-1002-1

Publication

Lensless Imaging with Compressive Ultrafast Sensing

Guy Satat, Matthew Tancik, Ramesh Raskar 10.1109/TCI.2017.2684624

Publication

Sampling Without Time: Recovering Echoes of Light via Temporal Phase Retrieval

Ayush Bhandari, Aurelien Bourquard, Ramesh Raskar 12 pages, 4 figures, to appear at the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Publication

32 Image Processing in Medical Imaging

Anshuman J Das, Ramesh Raskar Global Health Informatics: Principles of Ehealth and Mhealth to Improve Quality of Care, page 403

Publication

SPAD cameras for biomedical imaging: Promise and problems

Barmak Heshmat, Genevieve Gariepy, Jonathan Leach, Ramesh Raskar, Daniele Faccio Lasers and Electro-Optics (CLEO), 2016 Conference, IEEE, Pages 1-2