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04/14/2022
Activation Regression for Continuous Domain Generalization with Applications to Crop Classification
Geographic variance in satellite imagery impacts the ability of machine ...
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09/21/2021
AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning
The process of capturing a well-composed photo is difficult and it takes...
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08/24/2021
Field-Guide-Inspired Zero-Shot Learning
Modern recognition systems require large amounts of supervision to achie...
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04/01/2021
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
We present PhySG, an end-to-end inverse rendering pipeline that includes...
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03/30/2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
We present a new framework for semantic segmentation without annotations...
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03/28/2021
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
Reconstructing the shape and appearance of real-world objects using meas...
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12/05/2020
Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision
A painter is free to modify how components of a natural scene are depict...
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12/04/2020
Discovering Underground Maps from Fashion
The fashion sense – meaning the clothing styles people wear – in a geogr...
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11/30/2020
What Can Style Transfer and Paintings Do For Model Robustness?
A common strategy for improving model robustness is through data augment...
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11/24/2020
Insights From A Large-Scale Database of Material Depictions In Paintings
Deep learning has paved the way for strong recognition systems which are...
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03/06/2020
DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds
Planning in unstructured environments is challenging – it relies on sens...
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02/16/2020
Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition
Image datasets with high-quality pixel-level annotations are valuable fo...
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08/29/2019
GeoStyle: Discovering Fashion Trends and Events
Understanding fashion styles and trends is of great potential interest t...
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10/20/2018
Learning Material-Aware Local Descriptors for 3D Shapes
Material understanding is critical for design, geometric modeling, and a...
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09/28/2018
Inverse Transport Networks
We introduce inverse transport networks as a learning architecture for i...
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04/09/2018
Deep Painterly Harmonization
Copying an element from a photo and pasting it into a painting is a chal...
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06/06/2017
StreetStyle: Exploring world-wide clothing styles from millions of photos
Each day billions of photographs are uploaded to photo-sharing services ...
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05/02/2017
Shading Annotations in the Wild
Understanding shading effects in images is critical for a variety of vis...
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03/22/2017
Deep Photo Style Transfer
This paper introduces a deep-learning approach to photographic style tra...
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11/16/2016
Deep Feature Interpolation for Image Content Changes
We propose Deep Feature Interpolation (DFI), a new data-driven baseline ...
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03/07/2016
From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generators
We propose a new neural network architecture for solving single-image an...
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12/14/2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
It is well known that contextual and multi-scale representations are imp...
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11/19/2015
Deep Manifold Traversal: Changing Labels with Convolutional Features
Many tasks in computer vision can be cast as a "label changing" problem,...
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12/01/2014