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Abhishek Singh, Split Inference - Metrics, Benchmarks and Algorithms, ECCV'24
Zaid Tasneem, DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images, ECCV'24
Whitepaper
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).
Singh, Abhishek, et al. "Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release." Thirty-seventh Conference on Neural Information Processing Systems. 2023.
Klinghoffer, Tzofi, et al. "DISeR: Designing Imaging Systems with Reinforcement Learning." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
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)
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.
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
Praneeth Vepakomma, Abhishek Singh, Emily Zhang, Otkrist Gupta, Ramesh Raskar, IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2021
IEEE Global Communications Conference (GLOBECOM), 2021
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, Praneeth Vepakomma, Subha Nawer Pushpita and Ramesh Raskar, PPML (Privacy Preserving Machine Learning workshop) at NeurIPS
Abhishek Singh, Ayush Chopra, Praneeth Vepakomma, Ethan Z Garza, Vivek Sharma, , Ramesh Raskar. "DISCO: Dynamic and Invariant Sensitive Channel Obfuscation." CVPR 2021
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
Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.
Peter Kairouz, H. Brendan McMahan, et al. "Advances and Open Problems in Federated Learning." arXiv:1912.04977 [cs.LG] 10 Dec 2019.
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
Indu Ilanchezian, Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, GN Prasanna, Ramesh Raskar
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
Praneeth Vepakomma, et al. "Detailed comparison of communication efficiency of split learning and federated learning." arXiv:1909.09145v1 [cs.LG] 18 Sep 2019.
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. Manikanta Kotaru, Guy Satat, Ramesh Raskar, Sachin Katti, arXiv:1901.03953 (2019).
Sai Sri Sathya, Praneeth Vepakomma, Ramesh Raskar, Ranjan Ramachandra, Santanu Bhattacharya. arXiv:1812.02428
Flash Photography for Data-Driven Hidden Scene Recovery. Matthew Tancik, Guy Satat, Ramesh Raskar, arXiv:1810.11710 (2018).
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
G. Satat, M. Tancik and R. Raskar, "Towards Photography Through Realistic Fog", IEEE International Conference on Computational Photography (ICCP), (2018).
arXiv:1801.06540 [cs.CY]
Kadambi, Achuta and Raskar, Ramesh, Rethinking Machine Vision Time of Flight with GHz Heterodyning, IEEE Access 2017
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)
Kadambi, Achuta, et al. "Depth Sensing Using Geometrically Constrained Polarization Normals." International Journal of Computer Vision 125.1-3 (2017): 34-51.
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.
Achuta Kadambi, Jamie Schiel, Ramesh Raskar
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin Romberg, Ramesh Raskar Optica, Vol.3, Issue 7, pp. 754-762
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin Romberg, Ramesh Raskar
Otkrist Gupta, Daniel McDuff, Ramesh Raskar
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
Achuta Kadambi, Hang Zhao, Boxin Shi, Ramesh Raskar
Anshuman J. Das, Tulio A. Valdez, Jose Arbouin Vargas, Punyapat Saksupapchon, Pushyami Rachapudi, Zhifei Ge, Julio C. Estrada, Ramesh Raskar
Otkrist Gupta, Dan Raviv, Ramesh Raskar
Otkrist Gupta, Dan Raviv, Ramesh Raskar
Guy Satat, Barmak Heshmat, Tristan Swedish, Ramesh Raskar
A. Bhandari, C. Barsi, R. Raskar
Hisham Bedri, Otkrist Gupta, Micha Feign, Andrew Temme, Gregory Charvat, Ramesh Raskar
Gregory Charvat, Andrew Temme, Micha Feign, Ramesh Raskar
Nikhil Naik, Scott D. Kominers, Ramesh Raskar, Edward L. Glaeser, César A. Hidalgo
G. Leifman, T. Swedish, K. Roesch, R. Raskar
Achuta Kadambi, Vage Taamazyan, Boxin Shi, Ramesh Raskar
T. Swedish, K. Roesch, I.K. Lee, K. Rastogi, S. Bernstein, R. Raskar
Feigin M., Whyte R., Bhandari A., Dorington A., Raskar R
Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, Sing Bing Kang
Bhandari, A. "Inverse problems in time-of-flight imaging : theory, algorithms and applications"
Satat, G. "Imaging through scattering"
Hang Zhao, Boxin Shi, Christy Cull, Sai-Kit Yeung, Ramesh Raskar
Ayush Bhandari, Yonina Eldar, Ramesh Raskar
Munehiko Sato, Shigeo Yoshida, Alex Olwal, Boxin Shi, Atsushi Hiyama, Tomohiro Tanikawa Michitaka Hirose, Ramesh Raskar