Dr. Rogerio Schmidt Feris is a manager at IBM T.J. Watson Research Center, New York, USA, where he leads research in computer vision and machine learning.Dr. Christoph H. Lampert is a professor at the Institute of Science and Technology Austria, where he serves as the Principal Investigator of the Computer Vision and Machine Learning Group.Dr. Devi Parikh is an assistant professor in the School of Interactive Computing at Georgia Tech, USA, where she leads the Computer Vision Lab.

• Introduction to Visual Attributes,- Part I: Attribute-Based Recognition.- An Embarrassingly Simple Approach to Zero-Shot Learning.- In the Era of Deep Convolutional Features: Are Attributes still Useful Privileged Data?.- Divide, Share, and Conquer: Multi-Task Attribute Learning with Selective Sharing.- Part II: Relative Attributes and their Application to Image Search.- Attributes for Image Retrieval.- Fine-Grained Comparisons with Attributes.- Localizing and Visualizing Relative Attributes.- Part III: Describing People Based on Attributes.- Deep Learning Face Attributes for Detection and Alignment.- Visual Attributes for Fashion Analytics.- Part IV: Defining a Vocabulary of Attributes.- A Taxonomy of Part and Attribute Discovery Techniques.- The SUN Attribute Database: Organizing Scenes by Affordances, Materials, and Layout.- Part V: Attributes and Language.- Attributesas Semantic Units Between Natural Language and Visual Recognition.- Grounding the Meaning of Words with Visual Attributes.

Dr. Rogerio Schmidt Feris is a manager at IBM T.J. Watson Research Center, New York, USA, where he leads research in computer vision and machine learning.Dr. Christoph H. Lampert is a professor at the Institute of Science and Technology Austria, where he serves as the Principal Investigator of the Computer Vision and Machine Learning Group.Dr. Devi Parikh is an assistant professor in the School of Interactive Computing at Georgia Tech, USA, where she leads the Computer Vision Lab.

• Introduction to Visual Attributes,- Part I: Attribute-Based Recognition.- An Embarrassingly Simple Approach to Zero-Shot Learning.- In the Era of Deep Convolutional Features: Are Attributes still Useful Privileged Data?.- Divide, Share, and Conquer: Multi-Task Attribute Learning with Selective Sharing.- Part II: Relative Attributes and their Application to Image Search.- Attributes for Image Retrieval.- Fine-Grained Comparisons with Attributes.- Localizing and Visualizing Relative Attributes.- Part III: Describing People Based on Attributes.- Deep Learning Face Attributes for Detection and Alignment.- Visual Attributes for Fashion Analytics.- Part IV: Defining a Vocabulary of Attributes.- A Taxonomy of Part and Attribute Discovery Techniques.- The SUN Attribute Database: Organizing Scenes by Affordances, Materials, and Layout.- Part V: Attributes and Language.- Attributesas Semantic Units Between Natural Language and Visual Recognition.- Grounding the Meaning of Words with Visual Attributes.

Dr. Rogerio Schmidt Feris is a manager at IBM T.J. Watson Research Center, New York, USA, where he leads research in computer vision and machine learning.Dr. Christoph H. Lampert is a professor at the Institute of Science and Technology Austria, where he serves as the Principal Investigator of the Computer Vision and Machine Learning Group.Dr. Devi Parikh is an assistant professor in the School of Interactive Computing at Georgia Tech, USA, where she leads the Computer Vision Lab.

• Introduction to Visual Attributes,- Part I: Attribute-Based Recognition.- An Embarrassingly Simple Approach to Zero-Shot Learning.- In the Era of Deep Convolutional Features: Are Attributes still Useful Privileged Data?.- Divide, Share, and Conquer: Multi-Task Attribute Learning with Selective Sharing.- Part II: Relative Attributes and their Application to Image Search.- Attributes for Image Retrieval.- Fine-Grained Comparisons with Attributes.- Localizing and Visualizing Relative Attributes.- Part III: Describing People Based on Attributes.- Deep Learning Face Attributes for Detection and Alignment.- Visual Attributes for Fashion Analytics.- Part IV: Defining a Vocabulary of Attributes.- A Taxonomy of Part and Attribute Discovery Techniques.- The SUN Attribute Database: Organizing Scenes by Affordances, Materials, and Layout.- Part V: Attributes and Language.- Attributesas Semantic Units Between Natural Language and Visual Recognition.- Grounding the Meaning of Words with Visual Attributes.