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New book: Biological and Computer Vision

Biological and Computer Vision
Biological and Computer Vision. Kreiman. Cambridge University Press.

Cambridge University Press. 2021. ISBN 9781108649995

Imagine a world where machines can see and understand the world the way humans do. Rapid progress in artificial intelligence has led to smartphones that recognize faces, cars that detect pedestrians, and algorithms that suggest diagnoses from clinical images, among many other applications. The success of computer vision is founded on a deep understanding of the neural circuits in the brain responsible for visual processing. This book introduces the neuroscientific study of neuronal computations in visual cortex alongside of the psychological understanding of visual cognition and the burgeoning field of biologically-inspired artificial intelligence. Topics include the neurophysiological investigation of visual cortex, visual illusions, visual disorders, deep convolutional neural networks, machine learning, and generative adversarial networks among others. It is an ideal resource for students and researchers looking to build bridges across different approaches to studying and developing visual systems.

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Kreiman Lab News

Congratulations Dr. Zhang!

Mengmi Zhang
Mengmi Zhang

Congratulations to Mengmi Zhang in her successful defense of her Ph.D. thesis!

Mengmi Zhang. Computational Models of Bottom-up and Top-down Attention. National University of Singapore (2019).

Click here for a copy of her thesis work

See also Zhang’s recent publications:

Gupta SK, Zhang M, Wu CC, Wolfe JM, Kreiman G (2021). Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases. NeurIPS arXiv 2106.02953  PDF

Zhang M, Tseng C, Kreiman G. (2020) Putting visual object recognition in context. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit (CVPR) 12982-12991 PDF

Zhang M, Kreiman G (2021). Beauty is in the eye of the machine. Nature Human Behavior 5:1-2 PDF

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, Feng J, Ma KT, Lim JH, Zhao Q, Kreiman G. (2018) Finding any Waldo: zero-shot invariant and efficient visual search. Nature Communications, 9:3730. PDF

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Kreiman Lab News

The magic of vision

Lecture given by Prof. Gabriel Kreiman at Harvard Neuro 140 (Biological and Artificial Intelligence)

Link to Biological and Artificial Intelligence class