Zobrazeno 1 - 10
of 574
pro vyhledávání: '"Heung-Yeung Shum"'
Autor:
Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum
Publikováno v:
Computational Visual Media, Vol 9, Iss 2, Pp 229-247 (2023)
Abstract The lack of fine-grained 3D shape segmentation data is the main obstacle to developing learning-based 3D segmentation techniques. We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and a
Externí odkaz:
https://doaj.org/article/c597ec4614c94f0dada5703ea1d9d83f
Publikováno v:
Engineering, Vol 6, Iss 3, Pp 275-290 (2020)
Natural language processing (NLP) is a subfield of artificial intelligence that focuses on enabling computers to understand and process human languages. In the last five years, we have witnessed the rapid development of NLP in tasks such as machine t
Externí odkaz:
https://doaj.org/article/a625e59c763c433b889ca97382843e50
Autor:
Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
Publikováno v:
Entropy, Vol 24, Iss 4, p 456 (2022)
This work proposes a new computational framework for learning a structured generative model for real-world datasets. In particular, we propose to learn a Closed-loop Transcriptionbetween a multi-class, multi-dimensional data distribution and a Linear
Externí odkaz:
https://doaj.org/article/0d638464604b4ef3b3f1d8322a0575d0
Publikováno v:
Frontiers of Information Technology & Electronic Engineering. 23:1298-1323
Ten years into the revival of deep networks and artificial intelligence, we propose a theoretical framework that sheds light on understanding deep networks within a bigger picture of Intelligence in general. We introduce two fundamental principles, P
Publikováno v:
Communications of the ACM; Nov2021, Vol. 64 Issue 11, p81-87, 7p, 9 Diagrams
Publikováno v:
Communications of the ACM. 64:81-87
Several companies are trying push automatic speech recognition and other technologies past their current limitations.
Autor:
Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum
The lack of fine-grained 3D shape segmentation data is the main obstacle to developing learning-based 3D segmentation techniques. We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and a large am
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5e80a5c302718280f11f127c6eb59fc
http://arxiv.org/abs/2204.08824
http://arxiv.org/abs/2204.08824
Publikováno v:
Engineering, Vol 6, Iss 3, Pp 275-290 (2020)
Natural language processing (NLP) is a subfield of artificial intelligence that focuses on enabling computers to understand and process human languages. In the last five years, we have witnessed the rapid development of NLP in tasks such as machine t
Publikováno v:
The Visual Computer. 34:67-81
Depth information is an important ingredient in many multiview applications including image-based rendering (IBR). With the advent of electronics, low-cost and high-speed depth cameras, such as the Microsoft Kinect, are getting increasingly popular.
Autor:
Heung-Yeung Shum
Publikováno v:
WSDM
Advances in artificial intelligence have improved machine understanding of speech, images, and natural language. This in turn has allowed us to greatly enhance the intelligence of products such as Bing and Cortana. This keynote describes our continui