Keynote Speakers


Prof. Hongliang Li, University of Electronic Science and Technology of China, China


English profile will be added soon.

李宏亮,电子科技大学教授,博士生导师,国家杰出青年科学基金获得者,四川省学术和技术带头人。主要研究领域包括图像理解与分析,对象检测与分割,视觉感知模型等。已发表学术论文120余篇,其中包括IEEE Transactions论文55篇。目前担任IEEE Transactions on Circuits and Systems for Video Technology编委,Elsevier国际期刊Journal on Visual Communications and Image Representation,Signal Processing: Image Communication编委。2014年IEEE多媒体会议与博览会(ICME2014)的本地组委会主席,2016年IEEE视觉通信和图像处理国际会议(VCIP 2016)技术委员会主席。2017年IEEE智能信号处理与通信系统国际会议大会主席,以及2017环太多媒体会议程序委员会主席。2018年JVCI杰出服务奖,2019年IEEE-TCSVT最佳编委奖,2020年CCF杰出演讲者称号。

Speech Topic: Vision-Language Mapping for Referring Image Segmentation

Image segmentation is a classic topic in computer vision. In recent years, referring image segmentation has attracted increasing research interest. Beyond traditional image segmentation, referring image segmentation expects to segment out an object described by a language query from an image. As it needs to correlate vision and language, referring image segmentation is a more challenging task. This talk focuses on building more accurate vision-language mappings for the referring image segmentation task. This model is designed to learn the relationships of multiple visual objects based on the language query, which is crucial to localize and segment objects in accordance with the query.