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09/06/2023
A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models
Key to tasks that require reasoning about natural language in visual con...
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09/05/2023
Doppelgangers: Learning to Disambiguate Images of Similar Structures
We consider the visual disambiguation task of determining whether a pair...
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06/13/2023
Neural Scene Chronology
In this work, we aim to reconstruct a time-varying 3D model, capable of ...
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04/27/2023
Learning Human-Human Interactions in Images from Weak Textual Supervision
Interactions between humans are diverse and context-dependent, but previ...
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03/21/2023
Vox-E: Text-guided Voxel Editing of 3D Objects
Large scale text-guided diffusion models have garnered significant atten...
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03/21/2023
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding
Most humans use visual imagination to understand and reason about langua...
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03/20/2023
Localizing Object-level Shape Variations with Text-to-Image Diffusion Models
Text-to-image models give rise to workflows which often begin with an ex...
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10/13/2022
What's in a Decade? Transforming Faces Through Time
How can one visually characterize people in a decade? In this work, we a...
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05/25/2022
Neural 3D Reconstruction in the Wild
We are witnessing an explosion of neural implicit representations in com...
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01/21/2022
To SMOTE, or not to SMOTE?
In imbalanced binary classification problems the objective metric is oft...
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08/16/2021
Who's Waldo? Linking People Across Text and Images
We present a task and benchmark dataset for person-centric visual ground...
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08/12/2021
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision
The abundance and richness of Internet photos of landmarks and cities ha...
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04/28/2021
Extreme Rotation Estimation using Dense Correlation Volumes
We present a technique for estimating the relative 3D rotation of an RGB...
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03/18/2021
Learning Multimodal Affinities for Textual Editing in Images
Nowadays, as cameras are rapidly adopted in our daily routine, images of...
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11/27/2020
An Ethical Highlighter for People-Centric Dataset Creation
Important ethical concerns arising from computer vision datasets of peop...
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08/19/2020
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails
Predicting where people can walk in a scene is important for many tasks,...
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08/14/2020
Learning Gradient Fields for Shape Generation
In this work, we propose a novel technique to generate shapes from point...
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05/17/2020
Co-occurrence Based Texture Synthesis
We model local texture patterns using the co-occurrence statistics of pi...
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05/04/2020
What is Learned in Visually Grounded Neural Syntax Acquisition
Visual features are a promising signal for learning bootstrap textual mo...
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04/06/2020
DualSDF: Semantic Shape Manipulation using a Two-Level Representation
We are seeing a Cambrian explosion of 3D shape representations for use i...
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03/23/2020
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
Optical character recognition (OCR) systems performance have improved si...
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09/01/2019
READ: Recursive Autoencoders for Document Layout Generation
Layout is a fundamental component of any graphic design. Creating large ...
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04/15/2019
Implicit Pairs for Boosting Unpaired Image-to-Image Translation
In image-to-image translation the goal is to learn a mapping from one im...
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06/28/2018
Unsupervised Natural Image Patch Learning
Learning a metric of natural image patches is an important tool for anal...
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03/22/2018
Clustering-driven Deep Embedding with Pairwise Constraints
Recently, there has been increasing interest to leverage the competence ...
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01/31/2017
Co-segmentation for Space-Time Co-located Collections
We present a co-segmentation technique for space-time co-located image c...
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12/14/2016
