Search Results for author: Antonio Robles-Kelly

Found 9 papers, 0 papers with code

A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks

no code implementations23 Sep 2020 Tariq M. Khan, Antonio Robles-Kelly

In this paper, we present a gradient-free approach for training multi-layered neural networks based upon quantum perceptrons.

Feature Extraction Functions for Neural Logic Rule Learning

no code implementations14 Aug 2020 Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek

Combining symbolic human knowledge with neural networks provides a rule-based ante-hoc explanation of the output.

Sentiment Analysis

Deep Patch-based Human Segmentation

no code implementations11 Jul 2020 Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He

3D human segmentation has seen noticeable progress in re-cent years.

Hierarchically Fair Federated Learning

no code implementations22 Apr 2020 Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan Kankanhalli

When the federated learning is adopted among competitive agents with siloed datasets, agents are self-interested and participate only if they are fairly rewarded.

Fairness Federated Learning

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling

no code implementations26 Feb 2020 Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh

Again, it is unknown how to incorporate the expert prior knowledge about the global optimum into Bayesian optimization process.

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network

no code implementations5 Sep 2019 Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Sadegh Aliakbarian, Antonio Robles-Kelly

This paper introduces a novel method to simultaneously super-resolve and colour-predict images acquired by snapshot mosaic sensors.

PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study

no code implementations1 Apr 2019 Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte

This paper introduces a newly collected and novel dataset (StereoMSI) for example-based single and colour-guided spectral image super-resolution.

Image Super-Resolution

Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images

no code implementations15 Feb 2019 Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly

We prove that the light field is a 2D series, thus, a specifically designed CNN-LSTM network is proposed to capture the continuity property of the EPI.


A Frequency Domain Neural Network for Fast Image Super-resolution

no code implementations8 Dec 2017 Junxuan Li, ShaoDi You, Antonio Robles-Kelly

Moreover, the non-linearity in deep nets, often achieved by a rectifier unit, is here cast as a convolution in the frequency domain.

Image Super-Resolution

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