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12/08/2020
Hierarchical Residual Attention Network for Single Image Super-Resolution
Convolutional neural networks are the most successful models in single i...
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08/05/2020
OverNet: Lightweight Multi-Scale Super-Resolution with Overscaling Network
Super-resolution (SR) has achieved great success due to the development ...
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09/21/2018
From 2D to 3D Geodesic-based Garment Matching
A new approach for 2D to 3D garment retexturing is proposed based on Gau...
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07/19/2018
Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery
We propose a novel attention mechanism to enhance Convolutional Neural N...
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06/28/2018
Beyond One-hot Encoding: lower dimensional target embedding
Target encoding plays a central role when learning Convolutional Neural ...
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02/06/2018
Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks
Social media, as a major platform for communication and information exch...
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05/26/2017
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data
Despite recent advances in 3D pose estimation of human hands, especially...
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03/09/2017
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Recent years have seen a sharp increase in the number of related yet dis...
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11/07/2016
Regularizing CNNs with Locally Constrained Decorrelations
Regularization is key for deep learning since it allows training more co...
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01/22/2015
