Zobrazeno 1 - 10
of 4 336
pro vyhledávání: '"Yang Shang"'
Autor:
Yang Shang, Lingling Ma
Publikováno v:
Acta Psychologica, Vol 251, Iss , Pp 104550- (2024)
Background/purpose: In the context of deepening globalization, English, as the primary language for international communication, has become an indispensable component of personal academic, professional, and social capabilities. For college students,
Externí odkaz:
https://doaj.org/article/62ca909d37d9477b913ede68d258fe86
Publikováno v:
IEEE Access, Vol 11, Pp 96043-96051 (2023)
The perspective-n-point problem (PnP) is one of the most fundamental problems in photogrammetry and computer vision. Recently, prior motion knowledge has been applied to help solve the problem, generating a perspective-two-point (P2P) problem, also k
Externí odkaz:
https://doaj.org/article/b73a69fb1be2462f9d9b39230bb54bd8
Publikováno v:
Liang you shipin ke-ji, Vol 30, Iss 1, Pp 113-118 (2022)
The short-time high-voltage electric field treatment was used to increase the GABA content of buckwheat after germination, and the activities of GABA shunt enzymes were measured. The results showed that buckwheat was soaked at 35 ℃ for 3 hours, aft
Externí odkaz:
https://doaj.org/article/722fb5b08a734b44923dce8a80476756
Autor:
Xiao, Guangxuan, Tang, Jiaming, Zuo, Jingwei, Guo, Junxian, Yang, Shang, Tang, Haotian, Fu, Yao, Han, Song
Deploying long-context large language models (LLMs) is essential but poses significant computational and memory challenges. Caching all Key and Value (KV) states across all attention heads consumes substantial memory. Existing KV cache pruning method
Externí odkaz:
http://arxiv.org/abs/2410.10819
Autor:
Tang, Haotian, Wu, Yecheng, Yang, Shang, Xie, Enze, Chen, Junsong, Chen, Junyu, Zhang, Zhuoyang, Cai, Han, Lu, Yao, Han, Song
We introduce Hybrid Autoregressive Transformer (HART), an autoregressive (AR) visual generation model capable of directly generating 1024x1024 images, rivaling diffusion models in image generation quality. Existing AR models face limitations due to t
Externí odkaz:
http://arxiv.org/abs/2410.10812
Autor:
Chen, Junyu, Cai, Han, Chen, Junsong, Xie, Enze, Yang, Shang, Tang, Haotian, Li, Muyang, Lu, Yao, Han, Song
We present Deep Compression Autoencoder (DC-AE), a new family of autoencoder models for accelerating high-resolution diffusion models. Existing autoencoder models have demonstrated impressive results at a moderate spatial compression ratio (e.g., 8x)
Externí odkaz:
http://arxiv.org/abs/2410.10733
Autor:
Xue, Fuzhao, Chen, Yukang, Li, Dacheng, Hu, Qinghao, Zhu, Ligeng, Li, Xiuyu, Fang, Yunhao, Tang, Haotian, Yang, Shang, Liu, Zhijian, He, Ethan, Yin, Hongxu, Molchanov, Pavlo, Kautz, Jan, Fan, Linxi, Zhu, Yuke, Lu, Yao, Han, Song
Long-context capability is critical for multi-modal foundation models, especially for long video understanding. We introduce LongVILA, a full-stack solution for long-context visual-language models by co-designing the algorithm and system. For model t
Externí odkaz:
http://arxiv.org/abs/2408.10188
Autor:
Liu, Zhijian, Zhang, Zhuoyang, Khaki, Samir, Yang, Shang, Tang, Haotian, Xu, Chenfeng, Keutzer, Kurt, Han, Song
Semantic segmentation empowers numerous real-world applications, such as autonomous driving and augmented/mixed reality. These applications often operate on high-resolution images (e.g., 8 megapixels) to capture the fine details. However, this comes
Externí odkaz:
http://arxiv.org/abs/2407.19014
Publikováno v:
Open Life Sciences, Vol 15, Iss 1, Pp 598-605 (2020)
Alveolar macrophages (AMs) play an important defensive role by removing dust and bacteria from alveoli. Apoptosis of AMs is associated with lung fibrosis; however, the relationship between this apoptotic event and environmental factors, such as the p
Externí odkaz:
https://doaj.org/article/d6c3e0a9b0f747d6ac4edeb31587e8ac
Publikováno v:
IEEE Access, Vol 8, Pp 7267-7279 (2020)
The random sample consensus (RANSAC) based algorithm is widely used in estimating the two-view geometry from image point correspondences. However, it often becomes extremely slow when the data is contaminated by a large percentage of incorrect matche
Externí odkaz:
https://doaj.org/article/b85c656ae60247af8030f235281475a9