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09/07/2021
COCO Denoiser: Using Co-Coercivity for Variance Reduction in Stochastic Convex Optimization
First-order methods for stochastic optimization have undeniable relevanc...
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08/04/2021
Sparse Continuous Distributions and Fenchel-Young Losses
Exponential families are widely used in machine learning; they include m...
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04/07/2021
Multimodal Continuous Visual Attention Mechanisms
Visual attention mechanisms are a key component of neural network models...
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06/12/2020
Sparse and Continuous Attention Mechanisms
Exponential families are widely used in machine learning; they include m...
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12/27/2019
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization
The majority of current object detectors lack context: class predictions...
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12/28/2012
Alternating Directions Dual Decomposition
We propose AD3, a new algorithm for approximate maximum a posteriori (MA...
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09/16/2011
Connectivity-Enforcing Hough Transform for the Robust Extraction of Line Segments
Global voting schemes based on the Hough transform (HT) have been widely...
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10/19/2010
ANSIG - An Analytic Signature for Arbitrary 2D Shapes (or Bags of Unlabeled Points)
In image analysis, many tasks require representing two-dimensional (2D) ...
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10/19/2010
Maximum Likelihood Mosaics
The majority of the approaches to the automatic recovery of a panoramic ...
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10/19/2010
3-D Rigid Models from Partial Views - Global Factorization
The so-called factorization methods recover 3-D rigid structure from mot...
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10/18/2010
Revisiting Complex Moments For 2D Shape Representation and Image Normalization
When comparing 2D shapes, a key issue is their normalization. Translatio...
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10/13/2010