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06/08/2023
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding
Semantic 2D maps are commonly used by humans and machines for navigation...
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03/10/2023
GECCO: Geometrically-Conditioned Point Diffusion Models
Diffusion models generating images conditionally on text, such as Dall-E...
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06/16/2022
TUSK: Task-Agnostic Unsupervised Keypoints
Existing unsupervised methods for keypoint learning rely heavily on the ...
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03/25/2021
COTR: Correspondence Transformer for Matching Across Images
We propose a novel framework for finding correspondences in images based...
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06/24/2020
DISK: Learning local features with policy gradient
Local feature frameworks are difficult to learn in an end-to-end fashion...
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03/03/2020
Image Matching across Wide Baselines: From Paper to Practice
We introduce a comprehensive benchmark for local features and robust est...
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08/15/2019
Beyond Cartesian Representations for Local Descriptors
The dominant approach for learning local patch descriptors relies on sma...
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07/04/2019
Attentive Context Normalization for Robust Permutation-Equivariant Learning
Many problems in computer vision require dealing with sparse, unstructur...
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01/22/2019
Linearized Multi-Sampling for Differentiable Image Transformation
We propose a novel image sampling method for differentiable image transf...
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05/24/2018
LF-Net: Learning Local Features from Images
We present a novel deep architecture and a training strategy to learn a ...
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11/16/2017
Learning to Find Good Correspondences
We develop a deep architecture to learn to find good correspondences for...
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03/30/2016
LIFT: Learned Invariant Feature Transform
We introduce a novel Deep Network architecture that implements the full ...
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12/19/2014