Zobrazeno 1 - 10
of 404
pro vyhledávání: '"Jin, Zhanpeng"'
Autor:
Jiang, Jianan, Wu, Di, Deng, Hanhui, Long, Yidan, Tang, Wenyi, Li, Xiang, Liu, Can, Jin, Zhanpeng, Zhang, Wenlei, Qi, Tangquan
The process of fashion design usually involves sketching, refining, and coloring, with designers drawing inspiration from various images to fuel their creative endeavors. However, conventional image search methods often yield irrelevant results, impe
Externí odkaz:
http://arxiv.org/abs/2408.00855
Internet technology has proven to be a vital contributor to many cutting-edge innovations that have given humans access to interact virtually with objects. Until now, numerous virtual systems had been developed for digital transformation to enable ac
Externí odkaz:
http://arxiv.org/abs/2305.16473
Autor:
Li, Jiyang, Konnayil, Ann Gina, Russell, Adam, Wang, Dingran, Jin, Yincheng, Choi, Seokmin, Jin, Zhanpeng
Self-tracking has been long discussed, which can monitor daily activities and help users to recall previous experiences. Such data-capturing technique is no longer limited to photos, text messages, or personal diaries in recent years. With the develo
Externí odkaz:
http://arxiv.org/abs/2211.14608
With the increasing demands of emotion comprehension and regulation in our daily life, a customized music-based emotion regulation system is introduced by employing current EEG information and song features, which predicts users' emotion variation in
Externí odkaz:
http://arxiv.org/abs/2211.14609
Prompt tuning has been an extremely effective tool to adapt a pre-trained model to downstream tasks. However, standard prompt-based methods mainly consider the case of sufficient data of downstream tasks. It is still unclear whether the advantage can
Externí odkaz:
http://arxiv.org/abs/2207.08408
Publikováno v:
In Journal of Network and Computer Applications March 2024 223
Event-driven sensors such as LiDAR and dynamic vision sensor (DVS) have found increased attention in high-resolution and high-speed applications. A lot of work has been conducted to enhance recognition accuracy. However, the essential topic of recogn
Externí odkaz:
http://arxiv.org/abs/2101.08850
Data is the king in the age of AI. However data integration is often a laborious task that is hard to automate. Schema change is one significant obstacle to the automation of the end-to-end data integration process. Although there exist mechanisms su
Externí odkaz:
http://arxiv.org/abs/2010.07586
The "mind-controlling" capability has always been in mankind's fantasy. With the recent advancements of electroencephalograph (EEG) techniques, brain-computer interface (BCI) researchers have explored various solutions to allow individuals to perform
Externí odkaz:
http://arxiv.org/abs/2002.02086
Accurate real-time object recognition from sensory data has long been a crucial and challenging task for autonomous driving. Even though deep neural networks (DNNs) have been successfully applied in this area, most existing methods still heavily rely
Externí odkaz:
http://arxiv.org/abs/2001.09220