Search Results for author: Matthew O'Toole

Found 17 papers, 3 papers with code

Implicit Neural Head Synthesis via Controllable Local Deformation Fields

no code implementations CVPR 2023 Chuhan Chen, Matthew O'Toole, Gaurav Bharaj, Pablo Garrido

We build on part-based implicit shape models that decompose a global deformation field into local ones.

Neural Fields for Structured Lighting

no code implementations ICCV 2023 Aarrushi Shandilya, Benjamin Attal, Christian Richardt, James Tompkin, Matthew O'Toole

We present an image formation model and optimization procedure that combines the advantages of neural radiance fields and structured light imaging.

SpinCam: High-Speed Imaging via a Rotating Point-Spread Function

no code implementations ICCV 2023 Dorian Chan, Mark Sheinin, Matthew O'Toole

High-speed cameras are an indispensable tool used for the slow-motion analysis of scenes.

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.

Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection

no code implementations CVPR 2022 Yu-Jhe Li, Jinhyung Park, Matthew O'Toole, Kris Kitani

To mitigate this problem, we propose the Self-Training Multimodal Vehicle Detection Network (ST-MVDNet) which leverages a Teacher-Student mutual learning framework and a simulated sensor noise model used in strong data augmentation for Lidar and Radar.

Autonomous Vehicles Data Augmentation

Dual-Shutter Optical Vibration Sensing

no code implementations CVPR 2022 Mark Sheinin, Dorian Chan, Matthew O'Toole, Srinivasa G. Narasimhan

Visual vibrometry is a highly useful tool for remote capture of audio, as well as the physical properties of materials, human heart rate, and more.

Holocurtains: Programming Light Curtains via Binary Holography

no code implementations CVPR 2022 Dorian Chan, Srinivasa G. Narasimhan, Matthew O'Toole

Light curtain systems are designed for detecting the presence of objects within a user-defined 3D region of space, which has many applications across vision and robotics.

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 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 Humanoid Control

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.

Clustering 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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