Search Results for author: Matthew O'Toole

Found 10 papers, 1 papers with code

Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators

no code implementations5 May 2022 Suyeon Choi, Manu Gopakumar, YiFan, Peng, Jonghyun Kim, Matthew O'Toole, Gordon Wetzstein

Holographic near-eye displays offer unprecedented capabilities for virtual and augmented reality systems, including perceptually important focus cues.

Multi-Echo LiDAR for 3D Object Detection

no code implementations ICCV 2021 Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakuma, Matthew O'Toole, Kris Kitani

LiDAR sensors can be used to obtain a wide range of measurement signals other than a simple 3D point cloud, and those signals can be leveraged to improve perception tasks like 3D object detection.

3D Object Detection

Efficient Non-Line-of-Sight Imaging from Transient Sinograms

no code implementations ECCV 2020 Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O'Toole

Non-line-of-sight (NLOS) imaging techniques use light that diffusely reflects off of visible surfaces (e. g., walls) to see around corners.

Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation

1 code implementation CVPR 2020 Mariko Isogawa, Ye Yuan, Matthew O'Toole, Kris Kitani

We bring together a diverse set of technologies from NLOS imaging, human pose estimation and deep reinforcement learning to construct an end-to-end data processing pipeline that converts a raw stream of photon measurements into a full 3D human pose sequence estimate.

3D Human Pose Estimation

Tracking Multiple Objects Outside the Line of Sight Using Speckle Imaging

no code implementations CVPR 2018 Brandon M. Smith, Matthew O'Toole, Mohit Gupta

However, when imaging multiple NLOS objects, the speckle components due to different objects are superimposed on the virtual bare sensor image, and cannot be analyzed separately for recovering the motion of individual objects.

Motion Estimation

Reconstructing Transient Images From Single-Photon Sensors

no code implementations CVPR 2017 Matthew O'Toole, Felix Heide, David B. Lindell, Kai Zang, Steven Diamond, Gordon Wetzstein

Computer vision algorithms build on 2D images or 3D videos that capture dynamic events at the millisecond time scale.

3D Shape and Indirect Appearance by Structured Light Transport

no code implementations CVPR 2014 Matthew O'Toole, John Mather, Kiriakos N. Kutulakos

We consider the problem of deliberately manipulating the direct and indirect light flowing through a time-varying, fully-general scene in order to simplify its visual analysis.

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