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05/28/2023
Using Caterpillar to Nibble Small-Scale Images
Recently, MLP-based models have become popular and attained significant ...
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05/17/2023
SAM for Poultry Science
In recent years, the agricultural industry has witnessed significant adv...
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04/13/2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are tra...
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04/12/2023
AGI for Agriculture
Artificial General Intelligence (AGI) is poised to revolutionize a varie...
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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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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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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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06/16/2020
Visual Chirality
How can we tell whether an image has been mirrored? While we understand ...
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10/07/2019
Leveraging Vision Reconstruction Pipelines for Satellite Imagery
Reconstructing 3D geometry from satellite imagery is an important topic ...
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12/17/2018
Siamese Networks for Semantic Pattern Similarity
Semantic Pattern Similarity is an interesting, though not often encounte...
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09/06/2017
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images
Lighting estimation from face images is an important task and has applic...
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08/19/2017
Semi-supervised Conditional GANs
We introduce a new model for building conditional generative models in a...
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02/26/2017
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing
Most of computer vision focuses on what is in an image. We propose to tr...
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11/28/2016
