Vision research expert to explore ‘deep networks’ at Ian P. Howard Memorial lecture

A renowned researcher with expertise in vision research within cognitive and computer science will be the featured speaker at an upcoming Ian P. Howard Memorial Lecture Series event, hosted by York University’s Centre for Vision Research (CVR).

Alan Yuille

Alan Yuille

Alan Yuille, a Bloomberg Distinguished Professor from the departments of Cognitive Science and Computer Science at John Hopkins University, will deliver a talk titled “Deep Networks and Beyond” on Oct. 12 at 2 p.m. in Room 103, Life Science Building.

Deep networks are very successful for computer vision applications, provided there are large annotated datasets enabling supervised learning and testing, says Yuille, but there remain important challenges.

During his talk, Yuille will examine these challenges including: “unrepresentative datasets,” where the deep networks are sensitive to adversarial attacks, changes in context, and to rare or hazardous events; ‘limited supervised training data,” which requires transfer learning to deal with few training examples and weak supervision; and “architecture design,” where the goal is to automatically search over deep network architectures or to couple deep networks with other machine learning techniques such as random forests. This talk will address all these issues using state-of-the-art computer vision applications.

Yuille received a BA in mathematics from the University of Cambridge in 1976. His PhD on theoretical physics, supervised by Professor Stephen W. Hawking, was approved in 1981. He was a research scientist in the Artificial Intelligence Laboratory at MIT and the Division of Applied Sciences at Harvard University from 1982 to 1988. He served as an assistant and associate professor at Harvard until 1996, and was a senior research scientist at the Smith-Kettlewell Eye Research Institute from 1996 to 2002. Yuille became a full professor of statistics at the University of California, Los Angeles with joint appointments in computer science, psychiatry and psychology, and later moved to Johns Hopkins University in January 2016. His research interests include computational models of vision, mathematical models of cognition, medical image analysis, and artificial intelligence and neural networks.

There will be a post-lecture event and reception to recognize York University’s VISTA (Vision: Science to Applications) postdoctoral fellowships and graduate scholarships awarded so far in 2018, including: nine masters scholarships, 13 doctoral scholarships and three postdoctoral vistors across the subjects of biology, psychology, computer science, digital media and kinesiology.

For more, visit cvr.yorku.ca/content/ian-howard-lecture or contact Irit Printz at cvr@yorku.ca.

About the Ian P. Howard Memorial Lecture Series
Dr. Ian P. Howard (1927-2013) was the founder of the Centre for Vision Research and is renowned for his research into human visual perception. To honour their late father, Ian’s children set up the Ian P. Howard Family Foundation Graduate Scholarship and the Centre for Vision Reaearch created the Ian P. Howard Memorial Lecture Series. Leading and international scholars from the field of vision science are invited to speak at each event designed to inspire the vision research and wider academic community inviting audiences from other Canadian universities such as the University of Toronto.

Courtesy of YFile.