由我校研究生院、党委研究生工作部主办，信息工程学院（计算机与人工智能学院）承办的研究生“名师名家”讲坛，将邀请何祥健教授为我校师生作学术报告。欢迎相关专业的老师和同学们积极参加！

报告题目：Performance-Enhancing Deep-learning Models for Crowd Counting

报告人：何祥健教授

报告时间：2019.12.6下午3点

报告地点：信息工程学院二楼学术报告厅

报告简介:

Counting people or objects with significantly varying scales and densities has attracted much interest from the research community and yet it remains an open problem. Although many attempts have been reported, real world problems, such as huge variation in subjects’ sizes in images and serious occlusion among people, make it still a challenging problem. In this talk, an Adaptive Counting Convolutional Neural Network (A-CCNN), which considers the scale variation of objects in a frame adaptively, is presented. Then, a pruning strategy is presented to remove the irrelevant filters, of which feature maps contain little information, and the negative filters, which are determined by a mask learned on a training dataset. Last, a simple but efficient and effective network, named DENet, is introduced. It is composed of two components, i.e., a detection network (DNet) and an encoder-decoder estimation network (ENet). The proposed models are evaluated on the ShanghaiTech dataset, UCF dataset, WorldExpo’10 dataset etc. to show their superiority compared with the state-of-the-art methods.

报告人简介：

Professor Xiangjian He is the Director of Computer Vision and Pattern Recognition Laboratory at the Global Big Data Technologies Centre (GBDTC) at the University of Technology Sydney (UTS).

He is an IEEE Senior Member and has been an IEEE Signal Processing Society Student Committee member. He received a UTS Chancellor's Award for Research Excellence, together with his colleagues in a team working for a project funded by SydneyTrains and RMCRC, in 2018. He has also been awarded 'Internationally Registered Technology Specialist' by International Technology Institute (ITI). He led a UTS-PolyU joint research project team wining 1st Runner-Up prize for the 2017 VIP Cup, and the champion for the 2019 VIP Cup, awarded by IEEE Signal Processing Society.

He has received many competitive national or regional grants including FIVE grants awarded by Australian Research Council (ARC), five grants awarded by National Natural Science Foundation of China (NSFC, and two GRF grants awarded by Hong Kong Research Grants Council (RGC). Very recently, he has received an ARC-LP grant of $540,000 for over three years from 2019-2022 and close to two-million dollars of industry grants awarded by Cisco, SAS, Sydney Trains, Data 61, RMCRC etc.

In recent years, he has many high quality publications in prestigious journals and in premier international conferences and workshops.

He has recently been involved in editing for various international journals. He is an Associated Editor of Springer-Nature Computer Science journal and has been an Advisor of HKIE Transactions.

研究生院

党委研究生工作部

信息工程学院

计算机与人工智能学院

2019年12月6日