Ramesh Raskar
Imaging hidden objects with consumer LiDAR via motion-induced sampling
Somasundaram, S., Young, A., Dave, A. et al. Imaging hidden objects with consumer LiDAR via motion-induced sampling. Nature 653, 693–699 (2026).
What if eye...? Computationally recreating vision evolution
Kushagra Tiwary et al. ,What if eye...? Computationally recreating vision evolution. Sci. Adv. 11, eady2888 (2025). DOI:10.1126/sciadv.ady2888
Beyond DNS: Unlocking the Internet of AI Agents via the NANDA Index and Verified AgentFacts
arXiv
Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents?
arXiv
On the limits of agency in agent-based models
Chopra, Ayush, et al. "On the limits of agency in agent-based models." In Proceedings of Autonomous Agents and Multi-agent Systems (AAMAS) 2025
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
Singh, Abhishek, et al. "CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models." Proceedings of AAAI. 2025
Data Acquisition via Experimental Design for Data Markets
Lu, Charles, et al. "Data Acquisition via Experimental Design for Data Markets." Advances in Neural Information Processing Systems (NeurIPS) 37 (2024): 118086-118118.
Split Inference - Metrics, Benchmarks and Algorithms
Abhishek Singh, Split Inference - Metrics, Benchmarks and Algorithms, ECCV'24
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem, DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images, ECCV'24
A Perspective on Decentralizing AI
Whitepaper
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).
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.
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.
Federated Conformal Predictors for Distributed Uncertainty Quantification
Lu, Charles, et al. "Federated conformal predictors for distributed uncertainty quantification." International Conference on Machine Learning (ICML). PMLR, 2023.
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.
Parallel quasi-concave set function optimization for scalability even without submodularity
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.
Formal privacy guarantees for neural network queries by estimating local Lipschitz constant
Formal Privacy Guarantees for Neural Network queries by estimating local Lipschitz constant
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
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
IEEE Global Communications Conference (GLOBECOM), 2021
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)
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
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
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
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.
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.
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
Maximal adversarial perturbations for obfuscation: Hiding certain attributes while preserving rest
Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, GN Prasanna, Ramesh Raskar
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
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.
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).
Light-Field for RF
Light-Field for RF. Manikanta Kotaru, Guy Satat, Ramesh Raskar, Sachin Katti, arXiv:1901.03953 (2019).
A Review of Homomorphic Encryption Libraries for Secure Computation
Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar, Ranjan Ramachandra, Santanu Bhattacharya. arXiv:1812.02428
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).
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
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).
What is the right addressing scheme for India?
arXiv:1801.06540 [cs.CY]
What is the right addressing scheme for India?
arXiv:1801.06540 [cs.CY]
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
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)
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.
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.
Macroscopic Interferometry
Achuta Kadambi, Jamie Schiel, Ramesh Raskar
Sweep Distortion Removal from THz Images via Blind Demodulation
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin Romberg, Ramesh Raskar Optica, Vol.3, Issue 7, pp. 754-762
Sweep Distortion Removal from THz Images via Blind Demodulation
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin Romberg, Ramesh Raskar
Remote Real-Time Physiological Measurement and Visualization
Otkrist Gupta, Daniel McDuff, Ramesh Raskar
Advances in ultrafast optics and imaging applications
Guy Satat, Barmak Heshmat, Nikhil Naik, Albert Redo-Sanchez, and Ramesh Raskar Proc. SPIE 9835, Ultrafast Bandgap Photonics, 98350Q (May 13, 2016); doi:10.1117/12.2222438
Occluded Imaging with Time of Flight Sensors
Achuta Kadambi, Hang Zhao, Boxin Shi, Ramesh Raskar
Volume estimation of tonsil phantoms using an oral camera with 3D imaging
Anshuman J. Das, Tulio A. Valdez, Jose Arbouin Vargas, Punyapat Saksupapchon, Pushyami Rachapudi, Zhifei Ge, Julio C. Estrada, Ramesh Raskar
Multi-velocity neural networks for gesture recognition in videos
Otkrist Gupta, Dan Raviv, Ramesh Raskar
Deep video gesture recognition using illumination invariants
Otkrist Gupta, Dan Raviv, Ramesh Raskar
Computational Laser Speckle Contrast Imaging in Endoscopic System
Guy Satat, Barmak Heshmat, Tristan Swedish, Ramesh Raskar
Blind and reference-free fluorescence lifetime estimation via consumer time-of-flight sensors
A. Bhandari, C. Barsi, R. Raskar
RFlow: User Interaction Beyond Walls
Hisham Bedri, Otkrist Gupta, Micha Feign, Andrew Temme, Gregory Charvat, Ramesh Raskar
Time-of-Flight Microwave Camera
Gregory Charvat, Andrew Temme, Micha Feign, Ramesh Raskar
Do People Shape Cities, or Do Cities Shape People? The Co-evolution of Physical, Social, and Economic Change in Five Major U.S. Cities
Nikhil Naik, Scott D. Kominers, Ramesh Raskar, Edward L. Glaeser, César A. Hidalgo
Leveraging the Crowd for Annotation of Retinal Images
G. Leifman, T. Swedish, K. Roesch, R. Raskar