Visual Computing


Lab Name and Affiliation

Visual Computing

Institute for Infocomm Research, A*STAR, Singapore

Lab Director (or Principal Investigator)

Lim Joo Hwee received his B.Sc. (First Class Honours) and M.Sc. (by research) degrees in Computer Science from the National University of Singapore and his Ph.D. degree in Computer Science and Engineering from the University of New South Wales. He is currently the Head of the Visual Computing Department at the Institute for Infocomm Research (I2R), A*STAR, Singapore, and an Adjunct Associate Professor at the School of Computer Engineering, Nanyang Technological University, Singapore. He is the co-Director of IPAL (Image and Pervasive Access Laboratory), a French-Singapore Joint Lab (CNRS UMI 2955, Jan 2007 to Jan 2015). Dr. Lim is bestowed the title of 'Chevalier dans l'ordre des Palmes Academiques' by the French Government in 2008 and the National Day Commendation Medal by the Singapore Government in 2010. He has published more than 200 international refereed journal and conference papers and co-authored 17 patents (awarded and pending) in his research areas of computer vision, cognitive vision, pattern recognition, and medical image analysis.

Lab Introduction

As a research department in I2R, the Visual Computing team focuses on new ways of visual information acquisition, interaction, analysis and synthesis that drive the development of new algorithms and applications that require visual intelligence.

Visual understanding in dynamic real-world environments is not simply signal processing, pattern recognition and statistical learning, as existing computer vision framework does, but also requires new approach inspired by human memory and attention systems.

This involves the purposeful acquisition and organisation of concepts, contexts and associations for relevant matching and inference in problem solving. We perform inter-disciplinary research including computer vision, machine learning, cognitive vision, and human-machine interface to develop vision solutions for practical applications.

Our core competencies include image segmentation and feature extraction, visual pattern learning, object detection and tracking, image retrieval and recognition, visual categorisation and modelling, dynamic pattern modelling and recognition, cognitive system development, large-scale visual information representation and retrieval, etc

In particular, our four research labs focus on various emerging areas including:
1) Mobile visual interaction: image recognition and augmented reality
2) Knowledge-assisted vision: visual modelling and diagnosis
3) Visual attention: visual saliency and target search
4) Cognitive vision: understanding and enhancing visual intelligence

Lab Contact E-mail