Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lin, Hezheng"'
Autor:
Lin, Chengzhi, Lin, Hezheng, Liu, Shuchang, Ruan, Cangguang, Xu, LingJing, Yang, Dezhao, Wang, Chuyuan, Liu, Yongqi
The proliferation of online micro-video platforms has underscored the necessity for advanced recommender systems to mitigate information overload and deliver tailored content. Despite advancements, accurately and promptly capturing dynamic user inter
Externí odkaz:
http://arxiv.org/abs/2410.03538
Video grounding aims to locate the timestamps best matching the query description within an untrimmed video. Prevalent methods can be divided into moment-level and clip-level frameworks. Moment-level approaches directly predict the probability of eac
Externí odkaz:
http://arxiv.org/abs/2303.07748
Publikováno v:
In Information Fusion December 2024 112
Employing large-scale pre-trained model CLIP to conduct video-text retrieval task (VTR) has become a new trend, which exceeds previous VTR methods. Though, due to the heterogeneity of structures and contents between video and text, previous CLIP-base
Externí odkaz:
http://arxiv.org/abs/2109.04290
Publikováno v:
In Information Fusion August 2024 108
Autor:
Cheng, Xing, Lin, Hezheng, Wu, Xiangyu, Yang, Fan, Shen, Dong, Wang, Zhongyuan, Shi, Nian, Liu, Honglin
The task of multi-label image classification is to recognize all the object labels presented in an image. Though advancing for years, small objects, similar objects and objects with high conditional probability are still the main bottlenecks of previ
Externí odkaz:
http://arxiv.org/abs/2106.06195
Autor:
Lin, Hezheng, Cheng, Xing, Wu, Xiangyu, Yang, Fan, Shen, Dong, Wang, Zhongyuan, Song, Qing, Yuan, Wei
Since Transformer has found widespread use in NLP, the potential of Transformer in CV has been realized and has inspired many new approaches. However, the computation required for replacing word tokens with image patches for Transformer after the tok
Externí odkaz:
http://arxiv.org/abs/2106.05786
Publikováno v:
In Knowledge-Based Systems 4 November 2023 279
Publikováno v:
In Neural Networks August 2023 165:774-785