Explore a 31-minute conference talk by Alyosha Efros from the University of California, Berkeley, delving into the intersection of psychology and computer vision. Discover how studying psychology can benefit computer vision research, examining concepts like texture analysis, scene classification, and qualitative 3D scene reasoning. Learn about the work of Béla Julesz, the father of texture, and explore techniques such as texton discrimination and histogram matching. Investigate object recognition as texture recognition and the importance of learning to handle complexity. Examine qualitative 3D surface inference, occlusion reasoning, and line labeling techniques. Gain insights into the challenges of geometrically coherent image interpretation and the capacity of visual long-term memory. Understand how this research has inspired work in self-supervised representation learning, highlighting the valuable lessons computer vision can draw from psychological studies.