Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jason Kuen"'
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-14
We introduce a new image segmentation task, called Entity Segmentation (ES), which aims to segment all visual entities (objects and stuffs) in an image without predicting their semantic labels. By removing the need of class label prediction, the mode
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4b127983808eb65cf1bca1d8ac50bf6
https://doi.org/10.1007/978-3-031-19812-0_23
https://doi.org/10.1007/978-3-031-19812-0_23
Autor:
Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4425f5a528b63a3d955b1374d6e5f7c6
https://doi.org/10.1007/978-3-031-19812-0_22
https://doi.org/10.1007/978-3-031-19812-0_22
Autor:
Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2533ec0ed24901e3e3a12a67e0875582
https://doi.org/10.1007/978-3-031-19821-2_4
https://doi.org/10.1007/978-3-031-19821-2_4
Autor:
Jason Kuen, Hongfu Liu, Vlad I. Morariu, Jiuxiang Gu, Varun Manjunatha, Rajiv Jain, Peizhao Li, Handong Zhao
Publikováno v:
CVPR
We propose SelfDoc, a task-agnostic pre-training framework for document image understanding. Because documents are multimodal and are intended for sequential reading, our framework exploits the positional, textual, and visual information of every sem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e68717d265d0e6ac01b30656c82c867
http://arxiv.org/abs/2106.03331
http://arxiv.org/abs/2106.03331
Autor:
Jianming Zhang, Baldo Faieta, Xin Yuan, Zhe Lin, Yilin Wang, Michael Maire, Jason Kuen, Ajinkya Gorakhnath Kale
Publikováno v:
CVPR
We develop an approach to learning visual representations that embraces multimodal data, driven by a combination of intra- and inter-modal similarity preservation objectives. Unlike existing visual pre-training methods, which solve a proxy prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66f0eaf1890a7aaeef4f52d5065ba12f
Publikováno v:
ICCV
Large scale object detection datasets are constantly increasing their size in terms of the number of classes and annotations count. Yet, the number of object-level categories annotated in detection datasets is an order of magnitude smaller than image
Autor:
Jason Kuen, Ting Liu, Gang Wang, Jianfei Cai, Xingxing Wang, Zhenhua Wang, Lianyang Ma, Jiuxiang Gu, Bing Shuai, Tsuhan Chen, Amir Shahroudy
Publikováno v:
Pattern Recognition. 77:354-377
We give an overview of the basic components of CNN.We discuss the improvements of CNN on different aspects, namely, layer design, activation function, loss function, regularization, optimization and fast computation.We introduce the applications of C