Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yongyi Tang"'
Publikováno v:
IEEE Transactions on Image Processing. 29:29-43
Collective activity recognition, which tells what activity a group of people is performing, is a cutting-edge research topic in computer vision. Different from action performed by individuals, collective activity needs to consider the complex interac
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110178
ECCV Workshops (4)
ECCV Workshops (4)
This paper describes our solution for the 2\(^\text {nd}\) YouTube-8M video understanding challenge organized by Google AI. Unlike the video recognition benchmarks, such as Kinetics and Moments, the YouTube-8M challenge provides pre-extracted visual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600d3b652f1b8de996bdada6e4fd8c1a
https://doi.org/10.1007/978-3-030-11018-5_20
https://doi.org/10.1007/978-3-030-11018-5_20
Publikováno v:
ICIP
The existing approaches for RGB-D gesture recognition mainly developed their systems based on the global features extracted from full sequences, which makes them unreliable for capturing some important movements. In this paper, we propose to combine
Publikováno v:
IJCAI
Human motion prediction aims at generating future frames of human motion based on an observed sequence of skeletons. Recent methods employ the latest hidden states of a recurrent neural network (RNN) to encode the historical skeletons, which can only
Publikováno v:
AVSS
Rather than simply recognizing the action of a person individually, collective activity recognition aims to find out what a group of people is acting in a collective scene. Previ- ous state-of-the-art methods using hand-crafted potentials in conventi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc31297ba45aa8d80783b8bf5995959