报告信息
报告1: 粒度自适应的图像感知技术
报告2: 算力自适应与数据自适应的图像感知
Ming-Ming Cheng1*, Peng-Tao Jiang1*, Ling-Hao Han1, Liang Wang2, Philip Torr3 1-TMCC, Nankai University, 2-NLPR, 3-University of Oxford Introduction In computer
Read MoreVALSE 2022酒店预订建议
Read MoreAcademic norms are essential for the community to live healthily. Every post-graduate student must attend a related course before start
Read More实验室科研后备人才选拔
Read More1. Abstract The class activation maps are generated from the final convolutional layer of CNN. They can highlight discriminative object
Read More使用说明
Read More开放共享科研记录行动倡议
Read MoreGPU服务器采购经验总结
Read More互动科普
Read MoreIEEE CVPR 2020
Read More在线课程的经验分享
Read MoreIEEE TPAMI 2020
Read MoreIEEE TIP 2020
Read MorePattern Recognition: CFP
Read MoreVALSE 2019赞助方案
Read MoreCAD&CG GDC 2018 专题研讨
Read More南开大学津南校区
Read More带着几个“中学生英才计划”的高一学生开发的“环境小督查”
Read MoreVALSE 2018 Workshop, 大连, April 20th (8:00 – 12:00)
Read More2017年12月15日@华为北研所
Read More2017年12月17日(星期日)9:30-16:30
Read More2017年10月11-14日,CCCV2017,天津
Read MoreACM NPAR 2017
Read MoreICCV 2017 Spotlight, Accept rate: 2.61% [56/2143]
Read More2017年4月12-14日,CVM 2017,南开大学津南校区
Read MoreFrontier of Computer Science, 2017
Read More2016年4月22日-24日, 武汉
Read MoreICIP 2015 Tutorial at Sep. 27th, Morning Sessions (09:00 – 12:30)
Read MoreComputer Graphics Forum, 2015
Read MoreGround truth examples: (first row) original images with ground truth rectangles from MSRA dataset, (second row) our ground truth, which
Read More