Zobrazeno 1 - 10
of 2 640
pro vyhledávání: '"Zhang,Wenhua"'
Autor:
Chen, Kai, Li, Yanze, Zhang, Wenhua, Liu, Yanxin, Li, Pengxiang, Gao, Ruiyuan, Hong, Lanqing, Tian, Meng, Zhao, Xinhai, Li, Zhenguo, Yeung, Dit-Yan, Lu, Huchuan, Jia, Xu
Large Vision-Language Models (LVLMs) have received widespread attention in advancing the interpretable self-driving. Existing evaluations of LVLMs primarily focus on the multi-faceted capabilities in natural circumstances, lacking automated and quant
Externí odkaz:
http://arxiv.org/abs/2404.10595
Multi-Object Tracking (MOT) aims to detect and associate all desired objects across frames. Most methods accomplish the task by explicitly or implicitly leveraging strong cues (i.e., spatial and appearance information), which exhibit powerful instanc
Externí odkaz:
http://arxiv.org/abs/2308.00783
Autor:
Graham, Simon, Vu, Quoc Dang, Jahanifar, Mostafa, Weigert, Martin, Schmidt, Uwe, Zhang, Wenhua, Zhang, Jun, Yang, Sen, Xiang, Jinxi, Wang, Xiyue, Rumberger, Josef Lorenz, Baumann, Elias, Hirsch, Peter, Liu, Lihao, Hong, Chenyang, Aviles-Rivero, Angelica I., Jain, Ayushi, Ahn, Heeyoung, Hong, Yiyu, Azzuni, Hussam, Xu, Min, Yaqub, Mohammad, Blache, Marie-Claire, Piégu, Benoît, Vernay, Bertrand, Scherr, Tim, Böhland, Moritz, Löffler, Katharina, Li, Jiachen, Ying, Weiqin, Wang, Chixin, Kainmueller, Dagmar, Schönlieb, Carola-Bibiane, Liu, Shuolin, Talsania, Dhairya, Meda, Yughender, Mishra, Prakash, Ridzuan, Muhammad, Neumann, Oliver, Schilling, Marcel P., Reischl, Markus, Mikut, Ralf, Huang, Banban, Chien, Hsiang-Chin, Wang, Ching-Ping, Lee, Chia-Yen, Lin, Hong-Kun, Liu, Zaiyi, Pan, Xipeng, Han, Chu, Cheng, Jijun, Dawood, Muhammad, Deshpande, Srijay, Bashir, Raja Muhammad Saad, Shephard, Adam, Costa, Pedro, Nunes, João D., Campilho, Aurélio, Cardoso, Jaime S., S, Hrishikesh P, Puthussery, Densen, G, Devika R, C V, Jiji, Zhang, Ye, Fang, Zijie, Lin, Zhifan, Zhang, Yongbing, Lin, Chunhui, Zhang, Liukun, Mao, Lijian, Wu, Min, Vo, Vi Thi-Tuong, Kim, Soo-Hyung, Lee, Taebum, Kondo, Satoshi, Kasai, Satoshi, Dumbhare, Pranay, Phuse, Vedant, Dubey, Yash, Jamthikar, Ankush, Vuong, Trinh Thi Le, Kwak, Jin Tae, Ziaei, Dorsa, Jung, Hyun, Miao, Tianyi, Snead, David, Raza, Shan E Ahmed, Minhas, Fayyaz, Rajpoot, Nasir M.
Nuclear detection, segmentation and morphometric profiling are essential in helping us further understand the relationship between histology and patient outcome. To drive innovation in this area, we setup a community-wide challenge using the largest
Externí odkaz:
http://arxiv.org/abs/2303.06274
Change detection (CD) of remote sensing images is to detect the change region by analyzing the difference between two bitemporal images. It is extensively used in land resource planning, natural hazards monitoring and other fields. In our study, we p
Externí odkaz:
http://arxiv.org/abs/2208.06293
Deep learning based semantic segmentation is one of the popular methods in remote sensing image segmentation. In this paper, a network based on the widely used encoderdecoder architecture is proposed to accomplish the synthetic aperture radar (SAR) i
Externí odkaz:
http://arxiv.org/abs/2206.01096
Autor:
Zhang, Wenhua, Zhang, Jun
Nuclei segmentation and classification have been a challenge in digital pathology due to the specific domain characteristics. First, annotating a large-scale dataset is quite consuming. It requires specific domain knowledge and large efforts. Second,
Externí odkaz:
http://arxiv.org/abs/2203.03415
Publikováno v:
In Journal of Chromatography A 27 September 2024 1733
Publikováno v:
In Construction and Building Materials 20 September 2024 444
Autor:
Zhang, Wenhua, Zhou, Chunjie, Zhou, Fenglan, Zalán, Zsolt, Shi, Hui, Kan, Jianquan, Cai, Tian, Chen, Kewei
Publikováno v:
In Food Chemistry 15 September 2024 452
Publikováno v:
In LWT 1 September 2024 207