Keynote Talks

Naila Murray

Facebook AI Research

Naila Murray obtained a BSE in electrical engineering from Princeton University in 2007. In 2012, she received her Ph.D. from the Universitat Autonoma de Barcelona, in affiliation with the Computer Vision Center. She joined Xerox Research Centre Europe in 2013 as a research scientist in the computer vision team, working on topics including fine-grained visual categorization, image retrieval and visual attention. From 2015 to 2019 she led the computer vision team at Xerox Research Centre Europe, and continued to serve in this role after its acquisition and transition to becoming NAVER LABS Europe. In 2019, she became the director of science at NAVER LABS Europe. In 2020, she joined Facebook AI Research where she is a senior research engineering manager for EMEA. She has served as area chair for ICLR 2018, ICCV 2019, ICLR 2019, CVPR 2020, ECCV 2020, and program chair for ICLR 2021. Her current research interests include video understanding and multi-modal search.

"Unsupervised Meta-Domain Adaptation for Fashion Retrieval"

Abstract: Cross-domain fashion item retrieval naturally arises when unconstrained consumer images are used to query for fashion items in a collection of high-quality photographs provided by retailers. To perform this task, approaches typically leverage both consumer and shop domains from a given dataset to learn a domain-invariant representation, allowing these images of different nature to be directly compared. When consumer images are not available beforehand, such training is impossible. In this talk, I describe a recent approach to this challenging and yet practical scenario, which leverages representations learned for cross-domain retrieval from another source dataset and to adapts them to the target dataset for this particular setting.

Mark Sanderson

RMIT University

Mark Sanderson is Professor of Information Retrieval at RMIT University where he is head of the RMIT Information Retrieval (IR) group. Mark received his Ph.D. in Computer Science from the University of Glasgow, United Kingdom, in 1997. Mark was the first researcher show the value of snippets, a component of search interfaces which are now a standard feature of all search engines. Mark was general chair of ACM SIGIR in 2004 and PC chair of ACM SIGIR 2009 & 2012; and ACM CIKM 2017. Prof Sanderson is also a visiting professor at NII in Tokyo.

"Creating a Conversational Search System"

Abstract: The Conversational Search Paradigm promises to satisfy information needs using human-like dialogs, be it in spoken or in written form. In order to achieve a system that works seamlessly, we need research the covers a wide range of disciplines. In this talk, I'll describe some of the work that my PhD students have conducted in the last few years to examine different aspects of conversational search including some of the distinct human and interface elements that one needs to consider when building a fully operational conversational search system.

Presentation slides