Xinggang Wang. Professor, Huazhong University of Science and Technology. Verified email at hust.edu.cn - Homepage. Artificial Intelligence Computer Vision Autonomous Driving Object Detection Object Segmentation. Articles Cited by Public access Co-authors. Title. Sort. Sort by citations Sort by year Sort by title.

研究方向： 计算机视觉、深度学习，重点在于：基座模型、视觉表征学习、目标检测分割跟踪. 媒体报道. 颇具影响力论文. Zilong Huang#, Xinggang Wang*, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas Huang. CCNet: Criss …

Xinggang Wang is a full Professor in Huazhong University of Sci. and Tech. His research interests lie in computer vision, deep learning, & artificial intelligence.

I am a Full Professor in the School of Electronic Information and Communications, Huazhong University of Science and Technology, working on computer vision and deep...

Tunica media dysfunction induced connective tissue remodeling is the main mechanism of atherosclerosis, stiffening or aneurysm. This theory can explain the characteristics, prone sites and non prone sites of human atherosclerosis.

Xinggang Wang Full Professor, School of Electronic Information and Communications, Huazhong University of Science and Technology. Joined ; November 2017

王兴刚，华中科技大学电信学院教授博导，国家“万人计划”青年拔尖人才，现任Image and Vision Computing期刊（Elsevier, IF 4.7）共同主编。 主要从事基础模型、视觉表征学习、目标检测分割跟踪等领域研究、在IEEE...

Professor of HUST. Previously, visiting researchers at UCLA and Temple Univ. The lead of @hustvl . Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users. Add an optional note: Please don't include any personal information such as legal names or email addresses.

Xinggang WANG | Cited by 16,770 | of Huazhong University of Science and Technology (hust) | Read 179 publications | Contact Xinggang WANG

Xinggang Wang is an Associate Professor in the School of Electronic Information and Communications in Huazhong University of Science and Technology. His research interests are computer vision and machine learning, especially, data/label- and computation-efficient deep learning for visual recognition .