Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Dahun Kim"'
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
A holistic understanding of dynamic scenes is of fundamental importance in real-world computer vision problems such as autonomous driving, augmented reality and spatio-temporal reasoning. In this paper, we propose a new computer vision benchmark: Vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::146882814b6b9fa6cc6f8c83700d8267
https://pubmed.ncbi.nlm.nih.gov/35749323
https://pubmed.ncbi.nlm.nih.gov/35749323
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 42:1038-1052
Video inpainting aims to fill in spatio-temporal holes in videos with plausible content. Despite tremendous progress on deep learning-based inpainting of a single image, it is still challenging to extend these methods to video domain due to the addit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b25e67cea933d8e98fbed9188dbd5b15
https://doi.org/10.1109/tpami.2019.2958083
https://doi.org/10.1109/tpami.2019.2958083
Autor:
Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb497d0afa827336905eef322719a583
https://doi.org/10.1109/wacv51458.2022.00320
https://doi.org/10.1109/wacv51458.2022.00320
Publikováno v:
CVPR
Temporal correspondence - linking pixels or objects across frames - is a fundamental supervisory signal for the video models. For the panoptic understanding of dynamic scenes, we further extend this concept to every segment. Specifically, we aim to l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb5ae2048853fe79e124b1b65bcd3c1e
http://arxiv.org/abs/2106.09453
http://arxiv.org/abs/2106.09453
Autor:
Henry Fuchs, Youngjoong Kwon, Viswanathan Swaminathan, Haoliang Wang, Dahun Kim, Stefano Petrangeli
Publikováno v:
ACM Multimedia
Human novel view synthesis aims to synthesize target views of a human subject given input images taken from one or more reference viewpoints. Despite significant advances in model-free novel view synthesis, existing methods present two major limitati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bea03d6736277b741e84cbbbc97aef3b
https://doi.org/10.1145/3394171.3413754
https://doi.org/10.1145/3394171.3413754
Publikováno v:
WACV
Pursuing a more coherent scene understanding towards real-time vision applications, single-stage instance segmentation has recently gained popularity, achieving a simpler and more efficient design than its two-stage counterparts. Besides, its global
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a327a7982ab7458e8273daed2f8f211a
Publikováno v:
CVPR
Panoptic segmentation has become a new standard of visual recognition task by unifying previous semantic segmentation and instance segmentation tasks in concert. In this paper, we propose and explore a new video extension of this task, called video p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd502b66cf844bc958b87363ed64b227
Publikováno v:
ACM Multimedia
In this paper, we investigate the problem of unpaired video-to-video translation. Given a video in the source domain, we aim to learn the conditional distribution of the corresponding video in the target domain, without seeing any pairs of correspond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::197040f55266155c28b6125f8369390a
http://arxiv.org/abs/1908.07683
http://arxiv.org/abs/1908.07683
Publikováno v:
CVPR
Video inpainting aims to fill spatio-temporal holes with plausible content in a video. Despite tremendous progress of deep neural networks for image inpainting, it is challenging to extend these methods to the video domain due to the additional time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51750ca2849b6f946eb1f38e8a0c03dd
https://doi.org/10.1109/cvpr.2019.00594
https://doi.org/10.1109/cvpr.2019.00594
Publikováno v:
CVPR
Blind video decaptioning is a problem of automatically removing text overlays and inpainting the occluded parts in videos without any input masks. While recent deep learning based inpainting methods deal with a single image and mostly assume that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87aecd40e65f764942ceb3c9bfba3aa8