Zobrazeno 1 - 10
of 392
pro vyhledávání: '"XU, Wenju"'
Autor:
Jin, Yilun, Li, Zheng, Zhang, Chenwei, Cao, Tianyu, Gao, Yifan, Jayarao, Pratik, Li, Mao, Liu, Xin, Sarkhel, Ritesh, Tang, Xianfeng, Wang, Haodong, Wang, Zhengyang, Xu, Wenju, Yang, Jingfeng, Yin, Qingyu, Li, Xian, Nigam, Priyanka, Xu, Yi, Chen, Kai, Yang, Qiang, Jiang, Meng, Yin, Bing
Online shopping is a complex multi-task, few-shot learning problem with a wide and evolving range of entities, relations, and tasks. However, existing models and benchmarks are commonly tailored to specific tasks, falling short of capturing the full
Externí odkaz:
http://arxiv.org/abs/2410.20745
The Vision Transformer (ViT) leverages the Transformer's encoder to capture global information by dividing images into patches and achieves superior performance across various computer vision tasks. However, the self-attention mechanism of ViT captur
Externí odkaz:
http://arxiv.org/abs/2407.19394
In this paper, we propose a novel framework named DRL-CPG to learn disentangled latent representation for controllable person image generation, which can produce realistic person images with desired poses and human attributes (e.g., pose, head, upper
Externí odkaz:
http://arxiv.org/abs/2312.05798
Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be forged nor suppressed. They are very important nonverbal communication clues, but are transient and of low intensity thus difficult to recognize. Recently deep l
Externí odkaz:
http://arxiv.org/abs/2304.04420
Arbitrary style transfer has been demonstrated to be efficient in artistic image generation. Previous methods either globally modulate the content feature ignoring local details, or overly focus on the local structure details leading to style leakage
Externí odkaz:
http://arxiv.org/abs/2304.00414
Vision Transformers have attracted a lot of attention recently since the successful implementation of Vision Transformer (ViT) on vision tasks. With vision Transformers, specifically the multi-head self-attention modules, networks can capture long-te
Externí odkaz:
http://arxiv.org/abs/2210.14319
Autor:
Zhang, Yuqing, Yang, Chunli, He, Jiayang, Zhang, Zhihan, Jia, Xinyue, Yuan, Ruo ⁎, Xu, Wenju ⁎
Publikováno v:
In Sensors and Actuators: B. Chemical 15 January 2025 423
Autor:
Zhou, Yifu a, b, c, 1, Fu, Jiayi a, b, c, 1, Wu, Xu a, b, c, Huang, Weixiang a, b, c, Ye, Jingjing a, b, c, Yuan, Ruo a, b, c, ⁎, Xu, Wenju a, b, c, ⁎
Publikováno v:
In Sensors and Actuators: B. Chemical 1 December 2024 420
Autor:
Yang, Chunli, Shi, Yanan, Zhang, Yuqing, He, Jiayang, Zhang, Zhihan, Jia, Xinyue, Yuan, Ruo ⁎⁎, Xu, Wenju ⁎
Publikováno v:
In Biosensors and Bioelectronics 1 November 2024 263
Autor:
Li, Jingfeng a, b, Liu, Zhao c, Zhang, Yaxin a, b, Jia, Bingsen b, Xu, Wenju b, Liu, Xiaohong b, Ji, Li b, Wang, Aijun a, Sun, Chufeng a, ⁎⁎, Li, Hongxuan b, ⁎
Publikováno v:
In Ceramics International 1 November 2024 50(21) Part B:43032-43043