Filed in: Speakers, Tech Frontiers Tag: AI, CVPR, IEEE Computer Society
2024 IEEE CVPR (Computer Vision and Pattern Recognition) General Chair
Dr. Walter Scheirer is the Dennis O. Doughty Collegiate Professor of Engineering at University of Notre Dame. His technical research is primarily focused around the problem of recognition, including the representations and algorithms supporting solutions to it. He is particularly interested in features and learning-based methods that apply to both vision and language, thus breaking away from the persistent compartmentalization of recognition tasks (something hinted at by David Marr over 30 years ago). This has led to some intriguing and often unconventional approaches that can be applied to a broad set of areas within artificial intelligence including computer vision, machine learning, and human biometrics. Specifically, his work is looking at open set recognition, extreme value theory models for visual recognition, and biologically-inspired learning algorithms. He is also a cultural critic and historian, commenting on the social context of emerging technologies from the realistic perspective of a computer scientist.
2024 IEEE CVPR（计算机视觉与模式识别）大会主席
Walter Scheirer博士是圣母大学（University of Notre Dame）的Dennis O. Doughty工程讲座教授。他的技术研究主要集中在问题识别，包括支持解决该问题的表征和算法。其本人对适用于视觉和语言的特征和基于学习的方法特别感兴趣，从而打破识别任务长期以来的条块分割（David Marr 30多年前暗示过这点）。这催生了一些有趣且往往非传统的方法，可应用于人工智能中的广泛领域，包括计算机视觉、机器学习和人类生物识别技术。具体而言，他的工作着眼于开放集识别、用于视觉识别的极值理论模型以及受生物启发的学习算法。他还是一位文化评论家和历史学家，从计算机科学家的现实视角对新兴技术的社会背景进行评论。