Zobrazeno 1 - 10
of 19 488
pro vyhledávání: '"Winston, P."'
SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework
Autor:
Lin, Fangzhou, Gao, Shang, Tang, Yichuan, Ma, Xihan, Murakami, Ryo, Zhang, Ziming, Obayemic, John D., Soboyejo, Winston W., Zhang, Haichong K.
Spectroscopic photoacoustic (sPA) imaging uses multiple wavelengths to differentiate chromophores based on their unique optical absorption spectra. This technique has been widely applied in areas such as vascular mapping, tumor detection, and therape
Externí odkaz:
http://arxiv.org/abs/2412.12068
Low-light conditions have an adverse impact on machine cognition, limiting the performance of computer vision systems in real life. Since low-light data is limited and difficult to annotate, we focus on image processing to enhance low-light images an
Externí odkaz:
http://arxiv.org/abs/2412.07693
The classical shadows protocol, introduced by Huang et al. [Nat. Phys. 16, 1050 (2020)], makes use of the median-of-means (MoM) estimator to efficiently estimate the expectation values of $M$ observables with failure probability $\delta$ using only $
Externí odkaz:
http://arxiv.org/abs/2412.03381
Handling occlusion remains a significant challenge for video instance-level tasks like Multiple Object Tracking (MOT) and Video Instance Segmentation (VIS). In this paper, we propose a novel framework, Amodal-Aware Video Instance Segmentation (A2VIS)
Externí odkaz:
http://arxiv.org/abs/2412.01147
Autor:
Dong, Yuhao, Liu, Zuyan, Sun, Hai-Long, Yang, Jingkang, Hu, Winston, Rao, Yongming, Liu, Ziwei
Large Language Models (LLMs) demonstrate enhanced capabilities and reliability by reasoning more, evolving from Chain-of-Thought prompting to product-level solutions like OpenAI o1. Despite various efforts to improve LLM reasoning, high-quality long-
Externí odkaz:
http://arxiv.org/abs/2411.14432
Autor:
Gallenne, A., Evans, N. R., Kervella, P., Monnier, J. D., Proffitt, C. R, Schaefer, G. H., Winston, E. M., Kuraszkiewicz, J., Mérand, A., Pietrzyński, G., Gieren, W., Pilecki, B., Kraus, S., Bouquin, J-B Le, Anugu, N., Brummelaar, T. ten, Chhabra, S., Codron, I., Davies, C. L., Ennis, J., Gardner, T., Gutierrez, M., Ibrahim, N., Lanthermann, C., Mortimer, D., Setterholm, B. R.
Cepheid masses are particularly necessary to help solving the mass discrepancy, while independent distance determinations provide crucial test of the period-luminosity relation and Gaia parallaxes. We used CHARA/MIRC to measure the astrometric positi
Externí odkaz:
http://arxiv.org/abs/2411.06647
Autor:
Sun, Xingwu, Chen, Yanfeng, Huang, Yiqing, Xie, Ruobing, Zhu, Jiaqi, Zhang, Kai, Li, Shuaipeng, Yang, Zhen, Han, Jonny, Shu, Xiaobo, Bu, Jiahao, Chen, Zhongzhi, Huang, Xuemeng, Lian, Fengzong, Yang, Saiyong, Yan, Jianfeng, Zeng, Yuyuan, Ren, Xiaoqin, Yu, Chao, Wu, Lulu, Mao, Yue, Xia, Jun, Yang, Tao, Zheng, Suncong, Wu, Kan, Jiao, Dian, Xue, Jinbao, Zhang, Xipeng, Wu, Decheng, Liu, Kai, Wu, Dengpeng, Xu, Guanghui, Chen, Shaohua, Chen, Shuang, Feng, Xiao, Hong, Yigeng, Zheng, Junqiang, Xu, Chengcheng, Li, Zongwei, Kuang, Xiong, Hu, Jianglu, Chen, Yiqi, Deng, Yuchi, Li, Guiyang, Liu, Ao, Zhang, Chenchen, Hu, Shihui, Zhao, Zilong, Wu, Zifan, Ding, Yao, Wang, Weichao, Liu, Han, Wang, Roberts, Fei, Hao, Yu, Peijie, Zhao, Ze, Cao, Xun, Wang, Hai, Xiang, Fusheng, Huang, Mengyuan, Xiong, Zhiyuan, Hu, Bin, Hou, Xuebin, Jiang, Lei, Ma, Jianqiang, Wu, Jiajia, Deng, Yaping, Shen, Yi, Wang, Qian, Liu, Weijie, Liu, Jie, Chen, Meng, Dong, Liang, Jia, Weiwen, Chen, Hu, Liu, Feifei, Yuan, Rui, Xu, Huilin, Yan, Zhenxiang, Cao, Tengfei, Hu, Zhichao, Feng, Xinhua, Du, Dong, Yu, Tinghao, Tao, Yangyu, Zhang, Feng, Zhu, Jianchen, Xu, Chengzhong, Li, Xirui, Zha, Chong, Ouyang, Wen, Xia, Yinben, Li, Xiang, He, Zekun, Chen, Rongpeng, Song, Jiawei, Chen, Ruibin, Jiang, Fan, Zhao, Chongqing, Wang, Bo, Gong, Hao, Gan, Rong, Hu, Winston, Kang, Zhanhui, Yang, Yong, Liu, Yuhong, Wang, Di, Jiang, Jie
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 billion activation parameters, capable of handling up to 256K tokens. We c
Externí odkaz:
http://arxiv.org/abs/2411.02265
Large Language Models (LLMs) have revolutionized various domains but remain vulnerable to prompt injection attacks, where malicious inputs manipulate the model into ignoring original instructions and executing designated action. In this paper, we inv
Externí odkaz:
http://arxiv.org/abs/2411.00348
Autor:
Hurst, Winston, Mostofi, Yasamin
This paper studies the use of a multi-attribute auction in a communication system to bring about efficient relaying in a non-cooperative setting. We consider a system where a source seeks to offload data to an access point (AP) while balancing both t
Externí odkaz:
http://arxiv.org/abs/2410.15214
Autor:
Pallaprolu, Anurag, Kattekola, Aaditya Prakash, Hurst, Winston, Madhow, Upamanyu, Sabharwal, Ashutosh, Mostofi, Yasamin
Sensing with RF signals such as mmWave radar has gained considerable interest in recent years. This is particularly relevant to 6G networks, which aim to integrate sensing and communication (ISAC) capabilities for enhanced functionality. The contextu
Externí odkaz:
http://arxiv.org/abs/2410.09200