10 citations · 17 across the 5 of their papers we have counts for
7 papers
Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators
Suyeon Choi, Manu Gopakumar, Yifan +4
Holographic near-eye displays offer unprecedented capabilities for virtual and augmented reality systems, including perceptually important focus cues. Although artificial intellige…
Enhancing Speckle Statistics for Imaging inside Scattering Media
Wei-Yu Chen, Matthew O'Toole, Aswin C. Sankaranarayanan +1
We exploit memory effect speckle correlations for the imaging of incoherent linear (single-photon) fluorescent sources behind scattering tissue. While memory effect-based imaging t…
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Benjamin Attal, Eliot Laidlaw, Aaron Gokaslan +4
Neural networks can represent and accurately reconstruct radiance fields for static 3D scenes (e.g., NeRF). Several works extend these to dynamic scenes captured with monocular vid…
Multi-Echo LiDAR for 3D Object Detection
Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakuma +2
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 o…
Efficient Non-Line-of-Sight Imaging from Transient Sinograms
Mariko Isogawa, Dorian Chan, Ye Yuan +2
Non-line-of-sight (NLOS) imaging techniques use light that diffusely reflects off of visible surfaces (e.g., walls) to see around corners. One approach involves using pulsed lasers…
Optical Non-Line-of-Sight Physics-based 3D Human Pose Estimation
Mariko Isogawa, Ye Yuan, Matthew O'Toole +1
We describe a method for 3D human pose estimation from transient images (i.e., a 3D spatio-temporal histogram of photons) acquired by an optical non-line-of-sight (NLOS) imaging sy…
Non-line-of-sight Imaging with Partial Occluders and Surface Normals
Felix Heide, Matthew O'Toole, Kai Zang +3
Imaging objects obscured by occluders is a significant challenge for many applications. A camera that could "see around corners" could help improve navigation and mapping capabilit…