Zobrazeno 11 - 20
of 6 054
pro vyhledávání: '"Zhang, Zhenyu"'
The exact analytic form of cross sections including initial state radiation with Kuraev-Fadin radiative function are obtained for $e^+e^-$ annihilation around a resonance. Despite accounting for vacuum polarization and center-of-mass energy spread ef
Externí odkaz:
http://arxiv.org/abs/2405.09432
Autor:
Xie, Tianyidan, Ma, Rui, Wang, Qian, Ye, Xiaoqian, Liu, Feixuan, Tai, Ying, Zhang, Zhenyu, Yi, Zili
Recent advancements in image inpainting, particularly through diffusion modeling, have yielded promising outcomes. However, when tested in scenarios involving the completion of images based on the foreground objects, current methods that aim to inpai
Externí odkaz:
http://arxiv.org/abs/2404.18598
Large language models (LLMs) with one or more fine-tuning phases have become a necessary step to unlock various capabilities, enabling LLMs to follow natural language instructions or align with human preferences. However, it carries the risk of catas
Externí odkaz:
http://arxiv.org/abs/2404.18466
Autor:
Zhang, Zeyu, Zhao, Yuanshen, Duan, Jingxian, Liu, Yaou, Zheng, Hairong, Liang, Dong, Zhang, Zhenyu, Li, Zhi-Cheng
The diagnosis and prognosis of cancer are typically based on multi-modal clinical data, including histology images and genomic data, due to the complex pathogenesis and high heterogeneity. Despite the advancements in digital pathology and high-throug
Externí odkaz:
http://arxiv.org/abs/2404.08023
Autor:
Xie, Rui, Tai, Ying, Zhao, Chen, Zhang, Kai, Zhang, Zhenyu, Zhou, Jun, Ye, Xiaoqian, Wang, Qian, Yang, Jian
Blind super-resolution methods based on stable diffusion showcase formidable generative capabilities in reconstructing clear high-resolution images with intricate details from low-resolution inputs. However, their practical applicability is often ham
Externí odkaz:
http://arxiv.org/abs/2404.01717
Autor:
Pei, Gan, Zhang, Jiangning, Hu, Menghan, Zhang, Zhenyu, Wang, Chengjie, Wu, Yunsheng, Zhai, Guangtao, Yang, Jian, Shen, Chunhua, Tao, Dacheng
Deepfake is a technology dedicated to creating highly realistic facial images and videos under specific conditions, which has significant application potential in fields such as entertainment, movie production, digital human creation, to name a few.
Externí odkaz:
http://arxiv.org/abs/2403.17881
Autor:
Chen, Bin, Zhang, Zhenyu, Li, Weiqi, Zhao, Chen, Yu, Jiwen, Zhao, Shijie, Chen, Jie, Zhang, Jian
While deep neural networks (NN) significantly advance image compressed sensing (CS) by improving reconstruction quality, the necessity of training current CS NNs from scratch constrains their effectiveness and hampers rapid deployment. Although recen
Externí odkaz:
http://arxiv.org/abs/2403.17006
Autor:
Yan, Zhiqiang, Lin, Yuankai, Wang, Kun, Zheng, Yupeng, Wang, Yufei, Zhang, Zhenyu, Li, Jun, Yang, Jian
Depth completion is a vital task for autonomous driving, as it involves reconstructing the precise 3D geometry of a scene from sparse and noisy depth measurements. However, most existing methods either rely only on 2D depth representations or directl
Externí odkaz:
http://arxiv.org/abs/2403.15008
Incorporating first-order QED effects, we explore the shadows of Kerr-Newman black holes with a magnetic charge through the numerical backward ray-tracing method. Our investigation accounts for both the direct influence of the electromagnetic field o
Externí odkaz:
http://arxiv.org/abs/2403.06886
Training Large Language Models (LLMs) presents significant memory challenges, predominantly due to the growing size of weights and optimizer states. Common memory-reduction approaches, such as low-rank adaptation (LoRA), add a trainable low-rank matr
Externí odkaz:
http://arxiv.org/abs/2403.03507