Search Results for author: Michael J. Wilber

Found 6 papers, 1 papers with code

Sketching With Style: Visual Search With Sketches and Aesthetic Context

no code implementations ICCV 2017 John Collomosse, Tu Bui, Michael J. Wilber, Chen Fang, Hailin Jin

We propose a novel measure of visual similarity for image retrieval that incorporates both structural and aesthetic (style) constraints.

Image Retrieval

BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography

no code implementations ICCV 2017 Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann, John Collomosse, Serge Belongie

Furthermore, we carry out baseline experiments to show the value of this dataset for artistic style prediction, for improving the generality of existing object classifiers, and for the study of visual domain adaptation.

Domain Adaptation

Can we still avoid automatic face detection?

8 code implementations14 Feb 2016 Michael J. Wilber, Vitaly Shmatikov, Serge Belongie

In this setting, is it still possible for privacy-conscientious users to avoid automatic face detection and recognition?

Face Detection Face Recognition

Learning Concept Embeddings with Combined Human-Machine Expertise

no code implementations ICCV 2015 Michael J. Wilber, Iljung S. Kwak, David Kriegman, Serge Belongie

This paper presents our work on "SNaCK," a low-dimensional concept embedding algorithm that combines human expertise with automatic machine similarity kernels.

Image Representations and New Domains in Neural Image Captioning

no code implementations WS 2015 Jack Hessel, Nicolas Savva, Michael J. Wilber

We examine the possibility that recent promising results in automatic caption generation are due primarily to language models.

Image Captioning

Cost-Effective HITs for Relative Similarity Comparisons

no code implementations12 Apr 2014 Michael J. Wilber, Iljung S. Kwak, Serge J. Belongie

In this work we explore an alternative display for collecting triplets and analyze the monetary cost and speed of the display.

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