activity
20172019
most citedLearning Affinity via Spatial Propagation Networks

26 citations · 59 across the 6 of their papers we have counts for

collaborators

10 papers

cs.CV2019

Video Stitching for Linear Camera Arrays

Wei-Sheng Lai, Orazio Gallo, Jinwei Gu +3

Despite the long history of image and video stitching research, existing academic and commercial solutions still produce strong artifacts. In this work, we propose a wide-baseline…

cs.CV2019

NRMVS: Non-Rigid Multi-View Stereo

Matthias Innmann, Kihwan Kim, Jinwei Gu +4

Scene reconstruction from unorganized RGB images is an important task in many computer vision applications. Multi-view Stereo (MVS) is a common solution in photogrammetry applicati…

cs.CV2019

Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera

Chao Liu, Jinwei Gu, Kihwan Kim +2

Depth sensing is crucial for 3D reconstruction and scene understanding. Active depth sensors provide dense metric measurements, but often suffer from limitations such as restricted…

cs.CV20196 cited

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image

Chen Liu, Kihwan Kim, Jinwei Gu +2

This paper proposes a deep neural architecture, PlaneRCNN, that detects and reconstructs piecewise planar surfaces from a single RGB image. PlaneRCNN employs a variant of Mask R-CN…

cs.CV2019

Neural Inverse Rendering of an Indoor Scene from a Single Image

Soumyadip Sengupta, Jinwei Gu, Kihwan Kim +3

Inverse rendering aims to estimate physical attributes of a scene, e.g., reflectance, geometry, and lighting, from image(s). Inverse rendering has been studied primarily for single…

cs.CV20182 cited

Very Power Efficient Neural Time-of-Flight

Yan Chen, Jimmy Ren, Xuanye Cheng +2

Time-of-Flight (ToF) cameras require active illumination to obtain depth information thus the power of illumination directly affects the performance of ToF cameras. Traditional ToF…