312 citations · 1.4k across the 73 of their papers we have counts for
29 papers · 1 filter
Shape from Polarization for Complex Scenes in the Wild
Chenyang Lei, Chenyang Qi, Jiaxin Xie +3
We present a new data-driven approach with physics-based priors to scene-level normal estimation from a single polarization image. Existing shape from polarization (SfP) works main…
DRINet++: Efficient Voxel-as-point Point Cloud Segmentation
Maosheng Ye, Rui Wan, Shuangjie Xu +2
Recently, many approaches have been proposed through single or multiple representations to improve the performance of point cloud semantic segmentation. However, these works do not…
Physics Assisted Deep Learning for Indoor Imaging using Phaseless Wi-Fi Measurements
Samruddhi Deshmukh, Amartansh Dubey, Dingfei Ma +2
A physics assisted deep learning framework to perform accurate indoor imaging using phaseless Wi-Fi measurements is proposed. It is able to image objects that are large (compared t…
IICNet: A Generic Framework for Reversible Image Conversion
Ka Leong Cheng, Yueqi Xie, Qifeng Chen
Reversible image conversion (RIC) aims to build a reversible transformation between specific visual content (e.g., short videos) and an embedding image, where the original content…
Dual-Camera Super-Resolution with Aligned Attention Modules
Tengfei Wang, Jiaxin Xie, Wenxiu Sun +2
We present a novel approach to reference-based super-resolution (RefSR) with the focus on dual-camera super-resolution (DCSR), which utilizes reference images for high-quality and…
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving
Xuanchi Ren, Tao Yang, Li Erran Li +2
Motion prediction of vehicles is critical but challenging due to the uncertainties in complex environments and the limited visibility caused by occlusions and limited sensor ranges…