Antonio Robles-Kelly

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 100

Top Venues

University of York, UK (PHD)

Education History

University of York, UK

PHD

Publications

Salma P. González-Sabbagh, Antonio Robles-Kelly, Shang Gao
DGD-cGAN: A dual generator for image dewatering and restoration. Pattern Recognit. 148 (2024)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust visual question answering via semantic cross modal augmentation. Comput. Vis. Image Underst. 238 (2024)
Khondaker Tasrif Noor, Antonio Robles-Kelly
H-CapsNet: A capsule network for hierarchical image classification. Pattern Recognit. 147 (2024)
Matheus Moraes Hammes, Antonio Robles-Kelly
On the Behaviour of Pulsed Qubits and their Application to Feed Forward Networks. CoRR (2023)
Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He
IterativePFN: True Iterative Point Cloud Filtering. CVPR (2023)
Khondaker Tasrif Noor, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek
A Bottom-Up Capsule Network for Hierarchical Image Classification. DICTA (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. Mach. Learn. 112 (2) (2023)
Weijia Wang, Xuequan Lu, Di Shao, Xiao Liu, Richard Dazeley, Antonio Robles-Kelly, Wei Pan
Weighted Point Cloud Normal Estimation. ICME (2023)
Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly
A Mask-Based Logic Rules Dissemination Method for Sentiment Classifiers. ECIR (1) (2023)
Weijia Wang, Xuequan Lu, Di Shao, Xiao Liu, Richard Dazeley, Antonio Robles-Kelly, Wei Pan
Weighted Point Cloud Normal Estimation. CoRR (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. ADMA (2) (2023)
Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly
PERCY: A post-hoc explanation-based score for logic rule dissemination consistency assessment in sentiment classification. Knowl. Based Syst. 275 (2023)
Yang Yi, Xuequan Lu, Shang Gao, Antonio Robles-Kelly, Yuejie Zhang
Graph classification via discriminative edge feature learning. Pattern Recognit. 143 (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. PAKDD (1) (2023)
Salma P. González-Sabbagh, Antonio Robles-Kelly
A Survey on Underwater Computer Vision. ACM Comput. Surv. 55 (13s) (2023)
Jerome Williams, Ben Yip, Benjamin McCarthy, Tri-Tan Cao, Antonio Robles-Kelly
Contrastive Learning for Ship Classification Using Real and Complex SAR Imagery. DICTA (2023)
Tariq M. Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning. CoRR (2023)
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal, Antonio Robles-Kelly
Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model. Neurocomputing 546 (2023)
Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak
Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning. Neural Networks 165 (2023)
Adnan Ahmad, Vinh Loi Chau, Antonio Robles-Kelly, Shang Gao, Longxiang Gao, Lianhua Chi, Wei Luo
Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning. IJCNN (2023)
Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He
IterativePFN: True Iterative Point Cloud Filtering. CoRR (2023)
Fatemeh Ansarizadeh, David B. H. Tay, Dhananjay R. Thiruvady, Antonio Robles-Kelly
Deterministic sampling in heterogeneous graph neural networks. Pattern Recognit. Lett. 172 (2023)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. DICTA (2023)
Adnan Ahmad, Wei Luo, Antonio Robles-Kelly
Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. Pattern Recognit. 141 (2023)
Tanya Boone-Sifuentes, Asef Nazari, Imran Razzak, Mohamed Reda Bouadjenek, Antonio Robles-Kelly, Daniel Ierodiaconou, Elizabeth S. Oh
A Large-scale Marine Organisms Dataset for Hierarchical Image Classification. CIKM (2022)
Yang Yi, Xuequan Lu, Shang Gao, Antonio Robles-Kelly, Yuejie Zhang
Graph Classification via Discriminative Edge Feature Learning. CoRR (2022)
Bilal Hussain Abbasi, Qi Zhong, Leo Yu Zhang, Shang Gao, Antonio Robles-Kelly, Robin Doss
A Generic Enhancer for Backdoor Attacks on Deep Neural Networks. ICONIP (7) (2022)
Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. CoRR (2022)
Swathi Prabhu, Keerthana Prasad, Antonio Robles-Kelly, Xuequan Lu
AI-based carcinoma detection and classification using histopathological images: A systematic review. Comput. Biol. Medicine 142 (2022)
Tariq M. Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. ICONIP (1) (2022)
Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly
Deep Point Cloud Normal Estimation via Triplet Learning (Demonstration). ICME Workshops (2022)
Swathi Prabhua, Keerthana Prasada, Antonio Robles-Kelly, Xuequan Lu
AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review. CoRR (2022)
Salma Gonzalez-Sabbagh, Antonio Robles-Kelly, Shang Gao
DGD-cGAN: A Dual Generator for Image Dewatering and Restoration. CoRR (2022)
Tariq M. Khan, Muhammad Arsalan, Antonio Robles-Kelly, Erik Meijering
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation. CoRR (2022)
Antonio Robles-Kelly, Asef Nazari
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training. CoRR (2022)
Khondaker Tasrif Noor, Antonio Robles-Kelly, Brano Kusy
A Capsule Network for Hierarchical Multi-Label Image Classification. CoRR (2022)
Khondaker Tasrif Noor, Antonio Robles-Kelly, Brano Kusy
A Capsule Network for Hierarchical Multi-label Image Classification. S+SSPR (2022)
Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly
Deep Point Cloud Normal Estimation Via Triplet Learning. ICME (2022)
Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation. WACV (2022)
Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly
An Analysis of Logic Rule Dissemination in Sentiment Classifiers. CLEF (2022)
Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Antonio Robles-Kelly
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. CoRR (2022)
Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly
Deep Point Cloud Normal Estimation via Triplet Learning. CoRR (2021)
Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation. DICTA (2021)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust Neural Regression via Uncertainty Learning. CoRR (2021)
Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation. CoRR (2021)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Robust Neural Regression via Uncertainty Learning. IJCNN (2021)
Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly
Revisiting Spatio-Angular Trade-off in Light Field Cameras and Extended Applications in Super-Resolution. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
Mengmeng Ge, Naeem Firdous Syed, Xiping Fu, Zubair A. Baig, Antonio Robles-Kelly
Towards a deep learning-driven intrusion detection approach for Internet of Things. Comput. Networks 186 (2021)
Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. IJCNN (2021)
Lyle Collins, Antonio Robles-Kelly
Single-image Object Classification Based on Illuminette Construction from Shadow Imaging. DICTA (2021)
Tariq Mahmood Khan, Antonio Robles-Kelly
Machine Learning: Quantum vs Classical. IEEE Access 8 (2020)
Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly
Machine Learning for Financial Risk Management: A Survey. IEEE Access 8 (2020)
Tariq Mahmood Khan, Antonio Robles-Kelly
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks. CoRR (2020)
Mengmeng Ge, Naeem Firdous Syed, Xiping Fu, Zubair A. Baig, Antonio Robles-Kelly
Toward a Deep Learning-Driven Intrusion Detection Approach for Internet of Things. CoRR (2020)
Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He
Deep Patch-based Human Segmentation. CoRR (2020)
Arkady B. Zaslavsky, Alireza Hassani, Pari Delir Haghighi, Antonio Robles-Kelly, Panos K. Chrysanthis
Crystal-Ball and Magic Wand Combined: Predicting Situations and Making Them Happen. DCCN (2020)
Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi
A Semantically Flexible Feature Fusion Network for Retinal Vessel Segmentation. ICONIP (4) (2020)
Hao Zhu, Xiaoming Sun, Qi Zhang, Qing Wang, Antonio Robles-Kelly, Hongdong Li, Shaodi You
Full View Optical Flow Estimation Leveraged From Light Field Superpixel. IEEE Trans. Computational Imaging 6 (2020)
Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek
Feature Extraction Functions for Neural Logic Rule Learning. S+SSPR (2020)
Shashank Gupta, Antonio Robles-Kelly
Feature-Extracting Functions for Neural Logic Rule Learning. DICTA (2020)
Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He
Deep Patch-Based Human Segmentation. ICONIP (1) (2020)
Fatemeh Ansarizadeh, David B. H. Tay, Dhananjay R. Thiruvady, Antonio Robles-Kelly
Augmenting Graph Convolutional Neural Networks with Highpass Filters. S+SSPR (2020)
Tariq Mahmood Khan, Antonio Robles-Kelly
A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks. ICONIP (5) (2020)
Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. CoRR (2020)
Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan S. Kankanhalli
Hierarchically Fair Federated Learning. CoRR (2020)
Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly
RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. ICONIP (5) (2020)
Wei Luo, Akib Mashrur, Antonio Robles-Kelly, Gang Li
Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. IJCNN (2020)
Tanya Boone-Sifuentes, Antonio Robles-Kelly, Asef Nazari
Max-Variance Convolutional Neural Network Model Compression. DICTA (2020)
Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. WACV (2020)
Shashank Gupta, Antonio Robles-Kelly
Feature-Extracting Functions for Neural Logic Rule Learning. CoRR (2020)
Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi, Muhammad Arsalan
Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature. S+SSPR (2020)
Junxuan Li, Antonio Robles-Kelly, Shaodi You, Yasuyuki Matsushita
Learning to Minify Photometric Stereo. CVPR (2019)
Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Mohammad Sadegh Aliakbarian, Antonio Robles-Kelly
Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network. CoRR (2019)
Antonio Robles-Kelly, Asef Nazari
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training. DICTA (2019)
Mengmeng Ge, Xiping Fu, Naeem Firdous Syed, Zubair A. Baig, Gideon Teo, Antonio Robles-Kelly
Deep Learning-Based Intrusion Detection for IoT Networks. PRDC (2019)
Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study. CoRR (2019)
Hao Zhu, Mantang Guo, Hongdong Li, Qing Wang, Antonio Robles-Kelly
Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images. CoRR (2019)
Ran Wei, Antonio Robles-Kelly, Jose M. Alvarez
Context Free Band Reduction Using a Convolutional Neural Network. S+SSPR (2018)
Lawrence Mutimbu, Antonio Robles-Kelly
A factor graph evidence combining approach to image defogging. Pattern Recognit. 82 (2018)
Hao Zhu, Xiaoming Sun, Qi Zhang, Qing Wang, Antonio Robles-Kelly, Hongdong Li
Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels. ACCV Workshops (2018)
Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study. ECCV Workshops (5) (2018)
Junxuan Li, Shaodi You, Antonio Robles-Kelly
A Frequency Domain Neural Network for Fast Image Super-resolution. IJCNN (2018)
Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Süsstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results. ECCV Workshops (5) (2018)
Antonio Robles-Kelly, Ran Wei
A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images. ICPR (2018)
Mehrdad Shoeiby, Mohammad Ali Armin, Antonio Robles-Kelly
Image Registration via Geometrically Constrained Total Variation Optical Flow. DICTA (2018)
Sejuti Rahman, Antonio Robles-Kelly
Estimating Reflectance Parameters, Light Direction, and Shape From a Single Multispectral Image. IEEE Trans. Computational Imaging 3 (4) (2017)
Junxuan Li, Shaodi You, Antonio Robles-Kelly
A Frequency Domain Neural Network for Fast Image Super-resolution. CoRR (2017)
Junxuan Li, Shaodi You, Antonio Robles-Kelly
Stereo Super-Resolution via a Deep Convolutional Network. DICTA (2017)
Antonio Robles-Kelly, Ran Wei
A spectral clustering approach for online and streaming applications. IJCNN (2017)
Filippo Bergamasco, Andrea Torsello, Antonio Robles-Kelly
Spectral Dichromatic Parameter Recovery from Two Views via Total Variation Hyper-priors. ACCV Workshops (1) (2016)
Antonio Robles-Kelly, Lin Gu, Ran Wei
Classification from a Riemannian graph embedding viewpoint. IJCNN (2016)
Lawrence Mutimbu, Antonio Robles-Kelly
Multiple Illuminant Color Estimation via Statistical Inference on Factor Graphs. IEEE Trans. Image Process. 25 (11) (2016)
Antonio Robles-Kelly, Ran Wei
Semi-supervised image labelling using barycentric graph embeddings. ICPR (2016)
Antonio Robles-Kelly
Least-Squares Regression with Unitary Constraints for Network Behaviour Classification. S+SSPR (2016)
Lin Gu, Antonio Robles-Kelly
A quadratic optimisation approach for shading and specularity recovery from a single image. ICIP (2016)
Ahmed Sohaib, Antonio Robles-Kelly
Exposure Adjustment for Hyperspectral Cameras. DICTA (2015)
Antonio Robles-Kelly
Single Image Spectral Reconstruction for Multimedia Applications. ACM Multimedia (2015)
Lawrence Mutimbu, Antonio Robles-Kelly
Factor graphs for pixelwise illuminant estimation. IJCNN (2015)
Ahmed Sohaib, Antonio Robles-Kelly
Exposure time calculation for spectral cameras. J. Electronic Imaging 24 (5) (2015)
Ahmed Sohaib, Antonio Robles-Kelly
Radiometric calibration for HDR imaging. ICIP (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Antonio Robles-Kelly