93 citations · 95 across the 5 of their papers we have counts for
7 papers
MARMOT: Masked Autoencoder for Modeling Transient Imaging
Siyuan Shen, Ziheng Wang, Xingyue Peng +4
Pretrained models have demonstrated impressive success in many modalities such as language and vision. Recent works facilitate the pretraining paradigm in imaging research. Transie…
TransiT: Transient Transformer for Non-line-of-sight Videography
Ruiqian Li, Siyuan Shen, Suan Xia +7
High quality and high speed videography using Non-Line-of-Sight (NLOS) imaging benefit autonomous navigation, collision prevention, and post-disaster search and rescue tasks. Curre…
Omni-Line-of-Sight Imaging for Holistic Shape Reconstruction
Binbin Huang, Xingyue Peng, Siyuan Shen +8
We introduce Omni-LOS, a neural computational imaging method for conducting holistic shape reconstruction (HSR) of complex objects utilizing a Single-Photon Avalanche Diode (SPAD)-…
High-resolution tomographic reconstruction of optical absorbance through scattering media using neural fields
Wuwei Ren, Siyuan Shen, Linlin Li +7
Light scattering imposes a major obstacle for imaging objects seated deeply in turbid media, such as biological tissues and foggy air. Diffuse optical tomography (DOT) tackles scat…
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects
Pengyuan Wang, HyunJun Jung, Yitong Li +6
Object pose estimation is crucial for robotic applications and augmented reality. Beyond instance level 6D object pose estimation methods, estimating category-level pose and shape…
Onsite Non-Line-of-Sight Imaging via Online Calibrations
Zhengqing Pan, Ruiqian Li, Tian Gao +6
There has been an increasing interest in deploying non-line-of-sight (NLOS) imaging systems for recovering objects behind an obstacle. Existing solutions generally pre-calibrate th…
Non-line-of-Sight Imaging via Neural Transient Fields
Siyuan Shen, Zi Wang, Ping Liu +5
We present a neural modeling framework for Non-Line-of-Sight (NLOS) imaging. Previous solutions have sought to explicitly recover the 3D geometry (e.g., as point clouds) or voxel d…