Zobrazeno 1 - 10
of 20 266
pro vyhledávání: '"Zhang, Ke"'
Autor:
Wang, Zhao, Li, Ji-Xia, Zhang, Ke, Wu, 1 Feng-Quan, Tian, Hai-Jun, Niu, Chen-Hui, Zhang, Ju-Yong, Chen, Zhi-Ping, Yu, Dong-Jin, Chen, Xue-Lei
The digital correlator is one of the most crucial data processing components of a radio telescope array. With the scale of radio interferometeric array growing, many efforts have been devoted to developing a cost-effective and scalable correlator in
Externí odkaz:
http://arxiv.org/abs/2406.19013
Autor:
Zhang, Ke, Patel, Vishal M.
Pixel-level dense labeling is both resource-intensive and time-consuming, whereas weak labels such as scribble present a more feasible alternative to full annotations. However, training segmentation networks with weak supervision from scribbles remai
Externí odkaz:
http://arxiv.org/abs/2406.13237
Large-scale pretrained vision-language models like CLIP have demonstrated remarkable zero-shot image classification capabilities across diverse domains. To enhance CLIP's performance while preserving the zero-shot paradigm, various test-time prompt t
Externí odkaz:
http://arxiv.org/abs/2406.11309
Autor:
Feng, Hanke, Ge, Tong, Hu, Yaowen, Wang, Zhenzheng, Zhang, Yiwen, Chen, Zhaoxi, Zhang, Ke, Sun, Wenzhao, Wang, Cheng
Optical vector analysis (OVA) is an enabling technology for comprehensively characterizing both amplitude and phase responses of optical devices or systems. Conventional OVA technologies are mostly based on discrete optoelectronic components, leading
Externí odkaz:
http://arxiv.org/abs/2405.10109
Autor:
Aslani, Shahriar, Zhang, Ke
We prove that for a generic sub-Riemannian and reversible sub-Finsler metrics defined on a fixed co-rank 1 distribution, all strictly normal periodic orbits are non-degenerate.
Externí odkaz:
http://arxiv.org/abs/2405.05450
Autor:
Lavington, Jonathan Wilder, Zhang, Ke, Lioutas, Vasileios, Niedoba, Matthew, Liu, Yunpeng, Green, Dylan, Naderiparizi, Saeid, Liang, Xiaoxuan, Dabiri, Setareh, Ścibior, Adam, Zwartsenberg, Berend, Wood, Frank
The training, testing, and deployment, of autonomous vehicles requires realistic and efficient simulators. Moreover, because of the high variability between different problems presented in different autonomous systems, these simulators need to be eas
Externí odkaz:
http://arxiv.org/abs/2405.04491
Autor:
Green, Dylan, Harvey, William, Naderiparizi, Saeid, Niedoba, Matthew, Liu, Yunpeng, Liang, Xiaoxuan, Lavington, Jonathan, Zhang, Ke, Lioutas, Vasileios, Dabiri, Setareh, Scibior, Adam, Zwartsenberg, Berend, Wood, Frank
Current state-of-the-art methods for video inpainting typically rely on optical flow or attention-based approaches to inpaint masked regions by propagating visual information across frames. While such approaches have led to significant progress on st
Externí odkaz:
http://arxiv.org/abs/2405.00251
Autor:
Yu, Jun, Dai, Yutong, Liu, Xiaokang, Huang, Jin, Shen, Yishan, Zhang, Ke, Zhou, Rong, Adhikarla, Eashan, Ye, Wenxuan, Liu, Yixin, Kong, Zhaoming, Zhang, Kai, Yin, Yilong, Namboodiri, Vinod, Davison, Brian D., Moore, Jason H., Chen, Yong
MTL is a learning paradigm that effectively leverages both task-specific and shared information to address multiple related tasks simultaneously. In contrast to STL, MTL offers a suite of benefits that enhance both the training process and the infere
Externí odkaz:
http://arxiv.org/abs/2404.18961
Autor:
Zhang, Ke
Planets are formed inside disks around young stars. The gas, dust, and ice in these natal disks are the building materials of planets, and therefore their compositions fundamentally shape the final chemical compositions of planets. In this review, we
Externí odkaz:
http://arxiv.org/abs/2404.15423