Tristan Swedish

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Saliency Estimation

Model Selection

Active Illumination

Top Venues

SIGGRAPH Courses

Publications

Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Bruschini, Edoardo Charbon, Mohit Gupta
SoDaCam: Software-defined Cameras via Single-Photon Imaging. CoRR (2023)
Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Bruschini, Edoardo Charbon, Mohit Gupta
SoDaCam: Software-defined Cameras via Single-Photon Imaging. ICCV (2023)
Tristan Swedish, Connor Henley, Ramesh Raskar
Objects as Cameras: Estimating High-Frequency Illumination from Shadows. ICCV (2021)
Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar
Automatic calibration of time of flight based non-line-of-sight reconstruction. CoRR (2021)
Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar
Imaging Behind Occluders Using Two-Bounce Light. ECCV (29) (2020)
Ramesh Raskar, Andreas Velten, Sebastian Bauer, Tristan Swedish
Seeing around corners using time of flight. SIGGRAPH Courses (2020)
Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish, Aalekh Sharan
Data Markets to support AI for All: Pricing, Valuation and Governance. CoRR (2019)
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries. CoRR (2019)
Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. CoRR (2019)
Tomohiro Maeda, Guy Satat, Tristan Swedish, Lagnojita Sinha, Ramesh Raskar
Recent Advances in Imaging Around Corners. CoRR (2019)
Zhijing Jin, Tristan Swedish, Ramesh Raskar
3D Traffic Simulation for Autonomous Vehicles in Unity and Python. CoRR (2018)
Tristan Swedish, Ramesh Raskar
Deep Visual Teach and Repeat on Path Networks. CVPR Workshops (2018)
Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey
No Peek: A Survey of private distributed deep learning. CoRR (2018)
Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar
Split learning for health: Distributed deep learning without sharing raw patient data. CoRR (2018)
George Leifman, Dmitry Rudoy, Tristan Swedish, Eduardo Bayro-Corrochano, Ramesh Raskar
Learning Gaze Transitions from Depth to Improve Video Saliency Estimation. ICCV (2017)
George Leifman, Dmitry Rudoy, Tristan Swedish, Eduardo Bayro-Corrochano, Ramesh Raskar
Learning Gaze Transitions from Depth to Improve Video Saliency Estimation. CoRR (2016)
Hao Li, Lingyu Wei, Anshuman Das, Tristan Swedish, Pratik Shah, Ramesh Raskar
Capturing the human body: from VR, consumer, to health applications. SIGGRAPH Courses (2016)
Tristan Swedish, Karin Roesch, Ikhyun Lee, Krishna Rastogi, Shoshana Bernstein, Ramesh Raskar
eyeSelfie: self directed eye alignment using reciprocal eye box imaging. ACM Trans. Graph. 34 (4) (2015)
Hao Li, Anshuman Das, Tristan Swedish, Hyunsung Park, Ramesh Raskar
Modeling and capturing the human body: for rendering, health and visualization. SIGGRAPH Courses (2015)
George Leifman, Tristan Swedish, Karin Roesch, Ramesh Raskar
Leveraging the crowd for annotation of retinal images. EMBC (2015)