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03/01/2023
Domain-aware Triplet loss in Domain Generalization
Despite much progress being made in the field of object recognition with...
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12/20/2022
End to End Generative Meta Curriculum Learning For Medical Data Augmentation
Current medical image synthetic augmentation techniques rely on intensiv...
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12/20/2022
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation
Deep learning networks have demonstrated state-of-the-art performance on...
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09/08/2021
FaceCook: Face Generation Based on Linear Scaling Factors
With the excellent disentanglement properties of state-of-the-art genera...
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06/13/2020
Faces à la Carte: Text-to-Face Generation via Attribute Disentanglement
Text-to-Face (TTF) synthesis is a challenging task with great potential ...
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07/16/2019
Deep inspection: an electrical distribution pole parts study via deep neural networks
Electrical distribution poles are important assets in electricity supply...
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04/26/2016
Towards Miss Universe Automatic Prediction: The Evening Gown Competition
Can we predict the winner of Miss Universe after watching how they strid...
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02/04/2016
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors
We propose a hierarchical approach to multi-action recognition that perf...
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02/04/2016
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions
We present a comparative evaluation of various techniques for action rec...
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08/30/2014
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences
This paper introduces sparse coding and dictionary learning for Symmetri...
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01/31/2014