Explore visual material recognition in this guest presentation by Dr. Ko Nishino from the University of Central Florida. Delve into generative and discriminative approaches for recognizing materials visually. Learn about novel reflectance models, radiometric decomposition, and single image material estimation techniques. Discover how to tame material appearance through visual material traits and convolutional material trait kernels. Examine material category classification, failure cases, and the role of materials as visual context. Gain insights into the latest advancements and challenges in the field of visual material recognition over the course of this hour-long lecture.