Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jaesik Park"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:623-640
This paper presents a new large multiview dataset called HUMBI for human body expressions with natural clothing. The goal of HUMBI is to facilitate modeling view-specific appearance and geometry of five primary body signals including gaze, face, hand
Publikováno v:
Computer Graphics Forum. 38:697-705
Autor:
Jaesik Park, Hyunmin Lee
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
WACV
Videos have recently become an omnipresent form of media, gathering much attention from industry as well as academia. In the video enhancement field, video frame interpolation is a long-studied topic that has dramatically improved due to the advancem
Publikováno v:
CVPR
We present an approach to predict future video frames given a sequence of continuous video frames in the past. Instead of synthesizing images directly, our approach is designed to understand the complex scene dynamics by decoupling the background sce
Publikováno v:
CVPR
Many problems in science and engineering can be formulated in terms of geometric patterns in high-dimensional spaces. We present high-dimensional convolutional networks (ConvNets) for pattern recognition problems that arise in the context of geometri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeaf650fb0707dd0a43b1f5340130e69
http://arxiv.org/abs/2005.08144
http://arxiv.org/abs/2005.08144
Publikováno v:
IROS
We propose a fast and accurate 3D reconstruction system that takes a sequence of RGB-D frames and produces a globally consistent camera trajectory and a dense 3D geometry. We redesign core modules of a state-of-the-art offline reconstruction pipeline
Publikováno v:
ICCV
Extracting geometric features from 3D scans or point clouds is the first step in applications such as registration, reconstruction, and tracking. State-of-the-art methods require computing low-level features as input or extracting patch-based feature
Publikováno v:
Robotics and Autonomous Systems. 103:1-12
Driver inattention is one of the main causes of traffic accidents. To avoid such accidents, advanced driver assistance system that passively monitors the driver’s activities is needed. In this paper, we present a novel method to estimate a head pos
Publikováno v:
ACM Transactions on Graphics. 36:1-13
We present a benchmark for image-based 3D reconstruction. The benchmark sequences were acquired outside the lab, in realistic conditions. Ground-truth data was captured using an industrial laser scanner. The benchmark includes both outdoor scenes and