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Chapter and Conference Paper
Any-Resolution Training for High-Resolution Image Synthesis
Generative models operate at fixed resolution, even though natural images come in a variety of sizes. As high-resolution details are downsampled away and low-resolution images are discarded altogether, preciou...
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Chapter and Conference Paper
Totems: Physical Objects for Verifying Visual Integrity
We introduce a new approach to image forensics: placing physical refractive objects, which we call totems, into a scene so as to protect any photograph taken of that scene. Totems bend and redirect light rays,...
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Chapter and Conference Paper
Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?
The focus of recent meta-learning research has been on the development of learning algorithms that can quickly adapt to test time tasks with limited data and low computational cost. Few-shot learning is widely...
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Chapter and Conference Paper
Contrastive Multiview Coding
Humans view the world through many sensory channels, e.g., the long-wavelength light channel, viewed by the left eye, or the high-frequency vibrations channel, heard by the right ear. Each view is noisy and in...
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Chapter and Conference Paper
What Makes Fake Images Detectable? Understanding Properties that Generalize
The quality of image generation and manipulation is reaching impressive levels, making it increasingly difficult for a human to distinguish between what is real and what is fake. However, deep networks can sti...
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Chapter and Conference Paper
Colorful Image Colorization
Given a grayscale photograph as input, this paper attacks the problem of hallucinating a plausible color version of the photograph. This problem is clearly underconstrained, so previous approaches have either rel...
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Chapter and Conference Paper
Crisp Boundary Detection Using Pointwise Mutual Information
Detecting boundaries between semantically meaningful objects in visual scenes is an important component of many vision algorithms. In this paper, we propose a novel method for detecting such boundaries based o...
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Chapter and Conference Paper
Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation
This paper presents an example-based method to interpret a 3D shape from a single image depicting that shape. A major difficulty in applying an example-based approach to shape interpretation is the combinatori...
