Tristan Swedish

According to our database, Tristan Swedish authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

SoDaCam: Software-defined Cameras via Single-Photon Imaging.

Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Bruschini, Edoardo Charbon, Mohit Gupta

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Automatic calibration of time of flight based non-line-of-sight reconstruction.

Subhash Chandra Sadhu, Abhishek Singh, Tomohiro Maeda, Tristan Swedish, Ryan Kim, Lagnojita Sinha, Ramesh Raskar

CoRR, 2021

Objects as Cameras: Estimating High-Frequency Illumination from Shadows.

Tristan Swedish, Connor Henley, Ramesh Raskar

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Seeing around corners using time of flight.

Ramesh Raskar, Andreas Velten, Sebastian Bauer, Tristan Swedish

Proceedings of the SIGGRAPH 2020: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2020

Imaging Behind Occluders Using Two-Bounce Light.

Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Recent Advances in Imaging Around Corners.

Tomohiro Maeda, Guy Satat, Tristan Swedish, Lagnojita Sinha, Ramesh Raskar

CoRR, 2019

ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations.

Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar

CoRR, 2019

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

Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar

CoRR, 2019

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

Ramesh Raskar, Praneeth Vepakomma, Tristan Swedish, Aalekh Sharan

CoRR, 2019

2018

No Peek: A Survey of private distributed deep learning.

Praneeth Vepakomma, Tristan Swedish, Ramesh Raskar, Otkrist Gupta, Abhimanyu Dubey

CoRR, 2018

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

Praneeth Vepakomma, Otkrist Gupta, Tristan Swedish, Ramesh Raskar

CoRR, 2018

3D Traffic Simulation for Autonomous Vehicles in Unity and Python.

Zhijing Jin, Tristan Swedish, Ramesh Raskar

CoRR, 2018

Deep Visual Teach and Repeat on Path Networks.

Tristan Swedish, Ramesh Raskar

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Learning Gaze Transitions from Depth to Improve Video Saliency Estimation.

George Leifman, Dmitry Rudoy, Tristan Swedish, Eduardo Bayro-Corrochano, Ramesh Raskar

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Capturing the human body: from VR, consumer, to health applications.

Hao Li, Lingyu Wei, Anshuman Das, Tristan Swedish, Pratik Shah, Ramesh Raskar

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

2015

eyeSelfie: self directed eye alignment using reciprocal eye box imaging.

Tristan Swedish, Karin Roesch, Ikhyun Lee, Krishna Rastogi, Shoshana Bernstein, Ramesh Raskar

ACM Trans. Graph., 2015

Modeling and capturing the human body: for rendering, health and visualization.

Hao Li, Anshuman Das, Tristan Swedish, Hyunsung Park, Ramesh Raskar

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Leveraging the crowd for annotation of retinal images.

George Leifman, Tristan Swedish, Karin Roesch, Ramesh Raskar

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015