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ICCV

October 11 -17, 2021

ICCV-21

Lingjuan Lyu

Jerone Andrews

Online

Overview

ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. The ICCV 2021 conference will be a virtual experience. Their goal remains to provide a conference of the highest quality, and they aim to take full advantage of the virtual platform to enhance inclusivity, with an emphasis on showcasing the international scope of the computer vision research community.

Recruit information

Senior Research Scientist

Robotics
Full Time | Tokyo

Senior Robotics Engineer

Robotics
Full Time | Tokyo

AI Engineer

Machine Learning
Full Time | United States (location flexible)

Project Manager

Management Role
Full Time | Tokyo

Research Scientist for Imaging and Sensing

Computer Vision
Full Time | Location flexible (Tokyo, Zurich, US)

Research Scientist (Computer Vision and Algorithmic Fairness)

Computer Vision, AI Ethics
Full Time | United States (location flexible)

Project Lead – AI Ethics: AI Ethics Office (AEO), Sony Group Corporation


Full Time | Tokyo, Japan

Lead Research Scientist Machine Learning for Gastronomy

Machine Learning
Full Time | Barcelona or Tokyo

Featured Speakers

Jerone Andrews

Sony AI Inc.

Machine learning models invariably depend on the source of their experience-i.e., the data that they are trained and evaluated on. Data size and efficiency are often prioritised to the detriment of data curation practices. In this talk, I will overview several research questions related to visual datasets and biases.

Lingjuan Lyu

Sony AI Inc.

Federated Learning has attracted significant attentions since it offers a privacy-aware model training paradigm which does not require raw data sharing but allows participants to collaboratively construct a better global model. In this talk, I will introduce the background and categorization of Federated Learning, followed by several interesting industrial cases.

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