Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Bingzhang Hu"'
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 2972 (2024)
Atmospheric turbulence is a key factor contributing to data distortion in mid-to-long-range target observation tasks. Neural networks have become a powerful tool for dealing with such problems due to their strong ability to fit nonlinearities in the
Externí odkaz:
https://doaj.org/article/ce94791ad561443485711062387b9523
Publikováno v:
ACM Multimedia
Video captioning aims to automatically generate natural language sentences that can describe the visual contents of a given video. Existing generative models like encoder-decoder frameworks cannot explicitly explore the object-level interactions and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::defcbf475ddcf50db0d62a3bd4daaddf
http://arxiv.org/abs/2108.03662
http://arxiv.org/abs/2108.03662
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Publikováno v:
2021 IEEE International Conference on Multimedia and Expo (ICME).
Generalized Zero Shot Learning (GZSL) is proposed to solve the training data missing problem by transferring the knowledge learned in seen classes to unseen classes. Many methods project the visual features into semantic space and find their nearest
Publikováno v:
Biometric Technology Today. 2020:5-7
The growing demand for anti-terrorism and security measures has fuelled the rapid uptake of automated biometric recognition systems for surveillance. Primarily, law enforcement officers are seeking systems that can infer people's identity by measurin
Autor:
Yu Guan, Bingzhang Hu
Publikováno v:
Computer Science & Information Technology.
Intrusion detection systems (IDSs) have received increasing attention in recent years due to the rapid development of Internet applications and Internet of Things. Anomaly based IDSs are preferred in many situations due to their capabilities of detec
Publikováno v:
ACM Multimedia
Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax function. However, softmax function suffers in retaining high-rank repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7b7c57596bb183a1d1f14c8eb726a93
Age synthesis methods typically take a single image as input and use a specific number to control the age of the generated image. In this paper, we propose a novel framework taking two images as inputs, named dual-reference age synthesis (DRAS), whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0919bd3f631c56ef069ff0c8742ad5de
http://arxiv.org/abs/1908.02671
http://arxiv.org/abs/1908.02671
Publikováno v:
CCTA
Batch processes are important manufacturing route for the agile manufacturing of high value added products and they are typically difficult to control due to highly non-linear characteristic, unknown disturbance and model plant mismatches. Neural net
Publikováno v:
MMAR
Batch processes are significant and essential manufacturing route for the agile manufacturing of high value added products and they are typically difficult to control because of unknown disturbances, model plant mismatches, and highly nonlinear chara