Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jae Shin Yoon"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38d0aee0cd909617521377670d8db82f
https://doi.org/10.1109/tpami.2021.3138762
https://doi.org/10.1109/tpami.2021.3138762
Autor:
Hyun Soo Park, Lingjie Liu, Christian Theobalt, Kripasindhu Sarkar, Jae Shin Yoon, Vladislav Golyanik
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR
CVPR
We present a new pose transfer method for synthesizing a human animation from a single image of a person controlled by a sequence of body poses. Existing pose transfer methods exhibit significant visual artifacts when applying to a novel scene, resul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f4a6890211868c67b36db646f9d8094
http://arxiv.org/abs/2012.03796
http://arxiv.org/abs/2012.03796
Publikováno v:
CVPR
This paper presents a new method to synthesize an image from arbitrary views and times given a collection of images of a dynamic scene. A key challenge for the novel view synthesis arises from dynamic scene reconstruction where epipolar geometry does
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1be8565240d5645f581961487902b73
https://doi.org/10.1109/cvpr42600.2020.00538
https://doi.org/10.1109/cvpr42600.2020.00538
Autor:
Kyounghwan An, Kibaek Park, Jae Shin Yoon, Namil Kim, Soonmin Hwang, In So Kweon, Yukyung Choi
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:934-948
We introduce the KAIST multi-spectral data set, which covers a great range of drivable regions, from urban to residential, for autonomous systems. Our data set provides the different perspectives of the world captured in coarse time slots (day and ni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1ecf8a471decfbfdc31238173e82e2f
https://doi.org/10.1109/tits.2018.2791533
https://doi.org/10.1109/tits.2018.2791533
Autor:
In Kyu Lee, Jaesik Park, Jihun Yu, Prashanth Venkatesh, Hyun Soo Park, Jae Shin Yoon, Zhixuan Yu
Publikováno v:
CVPR
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 gaze, face, hand, body, and garment from assorted pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09407b9a80da8d6d65cb79c373ab6d7d
http://arxiv.org/abs/1812.00281
http://arxiv.org/abs/1812.00281
Autor:
Seokju Lee, Seunghak Shin, Hyun Seok Hong, Oleksandr Bailo, Tae-Hee Lee, Seung-hoon Han, Jae Shin Yoon, Junsik Kim, In So Kweon, Namil Kim
Publikováno v:
ICCV
In this paper, we propose a unified end-to-end trainable multi-task network that jointly handles lane and road marking detection and recognition that is guided by a vanishing point under adverse weather conditions. We tackle rainy and low illuminatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::872ff886ff35c1c9466652103189430b
http://arxiv.org/abs/1710.06288
http://arxiv.org/abs/1710.06288
Publikováno v:
ICCV
We propose a novel video object segmentation algorithm based on pixel-level matching using Convolutional Neural Networks (CNN). Our network aims to distinguish the target area from the background on the basis of the pixel-level similarity between two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b642cf639941b4b24febb88a6860704e
http://arxiv.org/abs/1708.05137
http://arxiv.org/abs/1708.05137
Publikováno v:
WACV
This paper presents a robust approach for road marking detection and recognition from images captured by an embedded camera mounted on a car. Our method is designed to cope with illumination changes, shadows, and harsh meteorological conditions. Furt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f531380180a967ea7b097eff1f047ca
https://doi.org/10.1109/wacv.2017.90
https://doi.org/10.1109/wacv.2017.90
Publikováno v:
CVPR
This paper presents a method to assign a semantic label to a 3D reconstructed trajectory from multiview image streams. The key challenge of the semantic labeling lies in the self-occlusion and photometric inconsistency caused by object and social int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d1cdabdb78d115436d1d9d0f4276781
Autor:
Kibaek Park, Jae Shin Yoon, Francois Rameau, Namil Kim, Soonmin Hwang, In So Kweon, Yukyung Choi
Publikováno v:
Intelligent Vehicles Symposium
Drivable region detection is challenging since various types of road, occlusion or poor illumination condition have to be considered in a outdoor environment, particularly at night. In the past decade, Many efforts have been made to solve these probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5eb084e7efa3eba01cac9f34768eccfd
https://doi.org/10.1109/ivs.2016.7535507
https://doi.org/10.1109/ivs.2016.7535507