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Harvard Neuro 130/230: Visual recognition (Fall 2021)

Neuro 130 Visual Recognition
Harvard Neuro 130/230: Visual Recognition

Link to class web site

Visual recognition is essential for most everyday tasks including navigation, reading and socialization. Visual pattern recognition is also important for many engineering applications such as automatic analysis of clinical images, face recognition by computers, security tasks and automatic navigation. In spite of the enormous increase in computational power over the last decade, humans still outperform the most sophisticated engineering algorithms in visual recognition tasks. In this course, we will examine how circuits of neurons in visual cortex represent and transform visual information. The course will cover the following topics: functional architecture of visual cortex, lesion studies, physiological experiments in humans and animals, visual consciousness, computational models of visual object recognition, computer vision algorithms.

The class will follow this textbook:

Kreiman G (to appear, 2021). Biological and Computer Vision. Cambridge University Press.

Kreiman Biological and Computer Vision
Biological and Computer Vision. Cambridge University Press 2021
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Kreiman Lab News

Merits and pitfalls of peer review

peer review

Gabriel Kreiman talks about peer review at the Harvard-LMU Young Scientists Forum 2021. Aug 31, 2021

Link to presentation

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Kreiman Lab News

Congratulations to Binxu Wang, Fujitsu fellow 2021!

Binxu Wang Fujitsu Fellowship
Binju Wang receives Fujitsu fellowship during BMM 2021
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Kreiman Lab News

Congratulations to Qinyang (Alice) Wang on BMM 2021 award

BMM 2021 Award
Qingyang (Alice) Wang receives award at BMM 2021
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Kreiman Lab News

Contextual reasoning in man and machines

Flash presentation by Prof. Gabriel Kreiman in the SciFoo conference 2021

See also:

Bomatter P, Zhang M, Karev D, Madan S, Tseng C, Kreiman G (2021). When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. International Conference on Computer Vision (ICCV) arXiv 2104.02215. PDF

Zhang M, Tseng C, Kreiman G. (2020) Putting visual object recognition in context. CVPR. PDF