Zobrazeno 1 - 10
of 23 445
pro vyhledávání: '"gao, Yuan"'
Autor:
Ren, Tianhe, Chen, Yihao, Jiang, Qing, Zeng, Zhaoyang, Xiong, Yuda, Liu, Wenlong, Ma, Zhengyu, Shen, Junyi, Gao, Yuan, Jiang, Xiaoke, Chen, Xingyu, Song, Zhuheng, Zhang, Yuhong, Huang, Hongjie, Gao, Han, Liu, Shilong, Zhang, Hao, Li, Feng, Yu, Kent, Zhang, Lei
In this paper, we introduce DINO-X, which is a unified object-centric vision model developed by IDEA Research with the best open-world object detection performance to date. DINO-X employs the same Transformer-based encoder-decoder architecture as Gro
Externí odkaz:
http://arxiv.org/abs/2411.14347
Cone-beam computed tomography (CBCT) typically requires hundreds of X-ray projections, which raises concerns about radiation exposure. While sparse-view reconstruction reduces the exposure by using fewer projections, it struggles to achieve satisfact
Externí odkaz:
http://arxiv.org/abs/2411.00900
Autor:
Pan, Shaoyan, Su, Vanessa, Peng, Junbo, Li, Junyuan, Gao, Yuan, Chang, Chih-Wei, Wang, Tonghe, Tian, Zhen, Yang, Xiaofeng
We present a new imaging system to support real-time tumor tracking for surface-guided radiotherapy (SGRT). SGRT uses optical surface imaging (OSI) to acquire real-time surface topography images of the patient on the treatment couch. However, OSI can
Externí odkaz:
http://arxiv.org/abs/2410.23582
Early and accurate diagnosis of brain tumors is crucial for improving patient survival rates. However, the detection and classification of brain tumors are challenging due to their diverse types and complex morphological characteristics. This study i
Externí odkaz:
http://arxiv.org/abs/2410.21872
The emergence of 6th generation (6G) mobile networks brings new challenges in supporting high-mobility communications, particularly in addressing the issue of channel aging. While existing channel prediction methods offer improved accuracy at the exp
Externí odkaz:
http://arxiv.org/abs/2410.21351
Recent studies suggest large language models (LLMs) can exhibit human-like reasoning, aligning with human behavior in economic experiments, surveys, and political discourse. This has led many to propose that LLMs can be used as surrogates or simulati
Externí odkaz:
http://arxiv.org/abs/2410.19599
Focusing on the recent measurements of the scattering processes $\bar{\Lambda} p \rightarrow \bar{\Lambda} p$ and $\Lambda p \rightarrow \Lambda p$ reported by BESIII, we offer a dynamical interpretation of the differences in the measured total and d
Externí odkaz:
http://arxiv.org/abs/2410.17842
Most knowledge distillation (KD) methodologies predominantly focus on teacher-student pairs with similar architectures, such as both being convolutional neural networks (CNNs). However, the potential and flexibility of KD can be greatly improved by e
Externí odkaz:
http://arxiv.org/abs/2410.12342
Graph Anomaly Detection (GAD) is crucial for identifying abnormal entities within networks, garnering significant attention across various fields. Traditional unsupervised methods, which decode encoded latent representations of unlabeled data with a
Externí odkaz:
http://arxiv.org/abs/2410.06549
Covariance regression offers an effective way to model the large covariance matrix with the auxiliary similarity matrices. In this work, we propose a sparse covariance regression (SCR) approach to handle the potentially high-dimensional predictors (i
Externí odkaz:
http://arxiv.org/abs/2410.04028