Towards Open-World Object Segmentation and Detection

The Data Science Discipline of the School of EECS is hosting the following guest seminar:

Towards Open-World Object Segmentation and Detection

Speaker: Prof Jianfei Cai (Monash University)
Host: Dr Yadan Luo

Abstract: Segmentation and detection are two fundamental and classical tasks in computer vision. In recent years, significant attention has been devoted to the open-vocabulary object segmentation and detection, aiming to generalize beyond the limited number of classes labelled during training and segment or detect objects described by arbitrary category names at inference. Compared with conventional ones, open vocabulary object segmentation and detection largely extend the object categories. In this talk, I will introduce a few works that have been done in my group along this line, showing the trends from close-set to open-set and to open-world.

Speaker Bio: Jianfei Cai is a Professor at Faculty of IT, Monash University, where he had served as the inaugural Head for the Data Science & AI Department. Before that, he was Head of Visual and Interactive Computing Division and Head of Computer Communications Division in Nanyang Technological University (NTU). His major research interests include computer vision, deep learning and multimedia. He has successfully trained 30+ PhD students with three getting NTU SCSE Outstanding PhD thesis award and one getting Monash FIT Graduate Research Student Excellence Award. Many of his PhD students joined leading IT companies such as Facebook, Apple, Amazon, and Adobe or become faculty members in reputable universities. He is a co-recipient of paper awards in ACCV, ICCM, IEEE ICIP and MMSP. He serves or has served as an Associate Editor for TPAMI, IJCV, IEEE T-IP, T-MM, and T-CSVT as well as serving as Area Chair for CVPR, ICCV, ECCV, IJCAI, ACM Multimedia, ICME, ICIP and ISCAS. He was the Chair of IEEE CAS VSPC-TC during 2016-2018. He had served as the leading TPC Chair for IEEE ICME 2012 and the best paper award committee chair & co-chair for IEEE T-MM 2020 & 2019. He is the leading General Chair for ACM Multimedia 2024, and a Fellow of IEEE.