Zobrazeno 1 - 10
of 1 305
pro vyhledávání: '"Guo, Hang"'
Autor:
Zha, Yaohua, Li, Naiqi, Wang, Yanzi, Dai, Tao, Guo, Hang, Chen, Bin, Wang, Zhi, Ouyang, Zhihao, Xia, Shu-Tao
The pre-trained point cloud model based on Masked Point Modeling (MPM) has exhibited substantial improvements across various tasks. However, these models heavily rely on the Transformer, leading to quadratic complexity and limited decoder, hindering
Externí odkaz:
http://arxiv.org/abs/2405.17149
Autor:
Liu, Peiyuan, Guo, Hang, Dai, Tao, Li, Naiqi, Bao, Jigang, Ren, Xudong, Jiang, Yong, Xia, Shu-Tao
Deep learning (e.g., Transformer) has been widely and successfully used in multivariate time series forecasting (MTSF). Unlike existing methods that focus on training models from a single modal of time series input, large language models (LLMs) based
Externí odkaz:
http://arxiv.org/abs/2403.07300
Recent years have seen significant advancements in image restoration, largely attributed to the development of modern deep neural networks, such as CNNs and Transformers. However, existing restoration backbones often face the dilemma between global r
Externí odkaz:
http://arxiv.org/abs/2402.15648
Pre-training has shown promising results on various image restoration tasks, which is usually followed by full fine-tuning for each specific downstream task (e.g., image denoising). However, such full fine-tuning usually suffers from the problems of
Externí odkaz:
http://arxiv.org/abs/2312.08881
Recently, an extremely-air-stable one-dimensional 7-9-7-AGNR was successfully fabricated. To further reveal its potential application in sub-5-nm field-effect transistors (FETs), there is an urgent need to develop integrated circuits. Here, we report
Externí odkaz:
http://arxiv.org/abs/2310.10238
Recognizing characters from low-resolution (LR) text images poses a significant challenge due to the information deficiency as well as the noise and blur in low-quality images. Current solutions for low-resolution text recognition (LTR) typically rel
Externí odkaz:
http://arxiv.org/abs/2308.02770
Scene text image super-resolution (STISR), aiming to improve image quality while boosting downstream scene text recognition accuracy, has recently achieved great success. However, most existing methods treat the foreground (character regions) and bac
Externí odkaz:
http://arxiv.org/abs/2307.09749
People's looking at each other or mutual gaze is ubiquitous in our daily interactions, and detecting mutual gaze is of great significance for understanding human social scenes. Current mutual gaze detection methods focus on two-stage methods, whose i
Externí odkaz:
http://arxiv.org/abs/2209.10930
Publikováno v:
In International Journal of Heat and Mass Transfer July 2024 226
Autor:
Huang, Pan, Dong, Quanbin, Wang, Yifeng, Tian, Yunfan, Wang, Shunhe, Zhang, Chengcheng, Yu, Leilei, Tian, Fengwei, Gao, Xiaoxiang, Guo, Hang, Yi, Shanrong, Li, Mingyang, Liu, Yang, Zhang, Qingsong, Lu, Wenwei, Wang, Gang, Yang, Bo, Cui, Shumao, Hua, Dongxu, Wang, Xiuchao, Jiao, Yuwen, Liu, Lu, Deng, Qiufeng, Ma, Beining, Wu, Tingting, Zou, Huayiyang, Shi, Jing, Zhang, Haifeng, Fan, Daming, Sheng, Yanhui, Zhao, Jianxin, Tang, Liming, Zhang, Hao, Sun, Wei, Chen, Wei, Kong, Xiangqing, Chen, Lianmin, Zhai, Qixiao
Publikováno v:
In Cell Genomics 12 June 2024 4(6)