Tongliang Liu The University of Sydney Biography: Tongliang Liu is a Lecturer with the School of Computer Science at the University of Sydney and a Visiting Scientist at RIKEN AIP, Japan. His research interests include machine learning and deep learning,...

Chang Xu The University of Sydney Biography: Chang Xu is Senior Lecturer and ARC DECRA Fellow at the School of Computer Science, University of Sydney. He has authored or coauthored over 90 CORE A*/A papers in machine learning and computer...

Qiuhong Ke The University of Melbourne Human action analysis, including action recognition and anticipation, is very important in a wide range of real-world applications such as visual surveillance, self-driving system and human-robot interaction. In this talk, I will introduce three...

Qiuhong Ke The University of Melbourne Human action analysis, including action recognition and anticipation, is very important in a wide range of real-world applications such as visual surveillance, self-driving system and human-robot interaction. In this talk, I will introduce three...

Recent years have witnessed increasing applications where data exhibits complex dependencies, including social networks, knowledge graphs, and biological data, etc. Machine learning and inference are vital techniques to make sense of this kind of data. This workshop will bring two...

Recent years have witnessed increasing applications where data exhibits complex dependencies, including social networks, knowledge graphs, and biological data, etc. Machine learning and inference are vital techniques to make sense of this kind of data. This workshop will bring two...

Recent years have witnessed increasing applications where data exhibits complex dependencies, including social networks, knowledge graphs, and biological data, etc. Machine learning and inference are vital techniques to make sense of this kind of data. This workshop will bring two...

Prof. Dana Kulić Monash University Robots working in human environments need to learn from and adapt to their users. In this talk, I will describe the challenges of robot learning during human-robot interaction:  what should be learned?  how can a user effectively provide feedback and...

Prof. Dana Kulić Monash University Robots working in human environments need to learn from and adapt to their users. In this talk, I will describe the challenges of robot learning during human-robot interaction:  what should be learned?  how can a user effectively provide feedback and...

A/Prof. Chen Change Loy Learning image prior is essential to solving various tasks of image restoration and manipulation, such as image colorization, image inpainting, and super-resolution. In the past decades, many image priors have been proposed to capture statistics of...