Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hyun Soo 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
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
Publikováno v:
CVPR
Improvements in data-capture and face modeling techniques have enabled us to create high-fidelity realistic face models. However, driving these realistic face models requires special input data, e.g. 3D meshes and unwrapped textures. Also, these face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be57e6a4ab32771889277caeff8f41f1
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:
Hyun Soo Park, Yilun Zhang
Publikováno v:
WACV
This paper presents a semi-supervised learning framework to train a keypoint detector using multiview image streams given the limited labeled data (typically $
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c205b4635dd577fe9bb0c03cbf004df2
Publikováno v:
ICCV
This paper presents a method to assess a basketball player's performance from his/her first-person video. A key challenge lies in the fact that the evaluation metric is highly subjective and specific to a particular evaluator. We leverage the first-p
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
Publikováno v:
ICCV
A first-person camera, placed at a person's head, captures, which objects are important to the camera wearer. Most prior methods for this task learn to detect such important objects from the manually labeled first-person data in a supervised fashion.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a698b33bcbdaf4553aa959d67cabe636