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2020 – today
- 2024
[j48]Akib Mashrur
, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust visual question answering via semantic cross modal augmentation. Comput. Vis. Image Underst. 238: 103862 (2024)- [j47]Khondaker Tasrif Noor, Antonio Robles-Kelly:
H-CapsNet: A capsule network for hierarchical image classification. Pattern Recognit. 147: 110135 (2024) - [j46]Salma P. González-Sabbagh, Antonio Robles-Kelly, Shang Gao:
DGD-cGAN: A dual generator for image dewatering and restoration. Pattern Recognit. 148: 110159 (2024) - [j45]Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Antonio Robles-Kelly:
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. IEEE Trans. Vis. Comput. Graph. 30(8): 4527-4541 (2024) - [c163]Connor Luckett, Benjamin McCarthy, Tri-Tan Cao, Antonio Robles-Kelly:
The SARFish Dataset and Challenge. WACV (Workshops) 2024: 752-761 - [i27]Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Lei Wei, Antonio Robles-Kelly, Hongdong Li:
StraightPCF: Straight Point Cloud Filtering. CoRR abs/2405.08322 (2024) - 2023
- [j44]Salma P. González-Sabbagh, Antonio Robles-Kelly:
A Survey on Underwater Computer Vision. ACM Comput. Surv. 55(13s): 268:1-268:39 (2023) - [j43]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: 126355 (2023) - [j42]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: 110685 (2023) - [j41]Adnan Ahmad, Wei Luo, Antonio Robles-Kelly:
Robust federated learning under statistical heterogeneity via hessian-weighted aggregation. Mach. Learn. 112(2): 633-654 (2023) - [j40]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: 310-320 (2023) - [j39]Adnan Ahmad, Wei Luo, Antonio Robles-Kelly:
Robust federated learning under statistical heterogeneity via Hessian spectral decomposition. Pattern Recognit. 141: 109635 (2023) - [j38]Yang Yi, Xuequan Lu, Shang Gao, Antonio Robles-Kelly, Yuejie Zhang:
Graph classification via discriminative edge feature learning. Pattern Recognit. 143: 109799 (2023) - [j37]Fatemeh Ansarizadeh, David B. H. Tay, Dhananjay R. Thiruvady, Antonio Robles-Kelly:
Deterministic sampling in heterogeneous graph neural networks. Pattern Recognit. Lett. 172: 74-81 (2023) - [c162]Adnan Ahmad, Wei Luo, Antonio Robles-Kelly:
A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity. ADMA (2) 2023: 408-422 - [c161]Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He:
IterativePFN: True Iterative Point Cloud Filtering. CVPR 2023: 13530-13539 - [c160]Khondaker Tasrif Noor, Antonio Robles-Kelly, Leo Yu Zhang, Mohamed Reda Bouadjenek:
A Bottom-Up Capsule Network for Hierarchical Image Classification. DICTA 2023: 325-331 - [c159]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles. DICTA 2023: 478-485 - [c158]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: 531-538 - [c157]Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly:
A Mask-Based Logic Rules Dissemination Method for Sentiment Classifiers. ECIR (1) 2023: 394-408 - [c156]Weijia Wang, Xuequan Lu, Di Shao, Xiao Liu, Richard Dazeley, Antonio Robles-Kelly, Wei Pan:
Weighted Point Cloud Normal Estimation. ICME 2023: 2015-2020 - [c155]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: 1-8 - [c154]Adnan Ahmad, Wei Luo, Antonio Robles-Kelly:
Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds. PAKDD (1) 2023: 380-392 - [i26]Matheus Moraes Hammes, Antonio Robles-Kelly:
On the Behaviour of Pulsed Qubits and their Application to Feed Forward Networks. CoRR abs/2302.10467 (2023) - [i25]Dasith de Silva Edirimuni, Xuequan Lu, Zhiwen Shao, Gang Li, Antonio Robles-Kelly, Ying He:
IterativePFN: True Iterative Point Cloud Filtering. CoRR abs/2304.01529 (2023) - [i24]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Imran Razzak:
Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learning. CoRR abs/2304.12856 (2023) - [i23]Weijia Wang, Xuequan Lu, Di Shao, Xiao Liu, Richard Dazeley, Antonio Robles-Kelly, Wei Pan:
Weighted Point Cloud Normal Estimation. CoRR abs/2305.04007 (2023) - 2022
- [j36]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: 105209 (2022) - [c153]Tanya Boone-Sifuentes, Asef Nazari, Imran Razzak, Mohamed Reda Bouadjenek, Antonio Robles-Kelly, Daniel Ierodiaconou, Elizabeth S. Oh:
Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification. CIKM 2022: 3838-3842 - [c152]Shashank Gupta, Mohamed Reda Bouadjenek, Antonio Robles-Kelly:
An Analysis of Logic Rule Dissemination in Sentiment Classifiers. CLEF 2022: 118-124 - [c151]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: 1 - [c150]Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly:
Deep Point Cloud Normal Estimation Via Triplet Learning. ICME 2022: 1-6 - [c149]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: 296-307 - [c148]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering:
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. ICONIP (1) 2022: 612-623 - [c147]Khondaker Tasrif Noor, Antonio Robles-Kelly, Brano Kusy:
A Capsule Network for Hierarchical Multi-label Image Classification. S+SSPR 2022: 163-172 - [c146]Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi:
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation. WACV 2022: 1799-1808 - [i22]Swathi Prabhu, Keerthana Prasad, Antonio Robles-Kelly, Xuequan Lu:
AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review. CoRR abs/2201.07231 (2022) - [i21]Antonio Robles-Kelly, Asef Nazari:
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training. CoRR abs/2205.13711 (2022) - [i20]Dasith de Silva Edirimuni, Xuequan Lu, Gang Li, Antonio Robles-Kelly:
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering. CoRR abs/2208.06811 (2022) - [i19]Khondaker Tasrif Noor, Antonio Robles-Kelly, Brano Kusy:
A Capsule Network for Hierarchical Multi-Label Image Classification. CoRR abs/2209.05723 (2022) - [i18]Yang Yi, Xuequan Lu, Shang Gao, Antonio Robles-Kelly, Yuejie Zhang:
Graph Classification via Discriminative Edge Feature Learning. CoRR abs/2210.02060 (2022) - [i17]Tariq Mahmood Khan, Syed Saud Naqvi, Antonio Robles-Kelly, Erik Meijering:
Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction. CoRR abs/2210.07451 (2022) - [i16]Tariq Mahmood Khan, Muhammad Arsalan, Antonio Robles-Kelly, Erik Meijering:
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation. CoRR abs/2210.08168 (2022) - [i15]Salma P. González-Sabbagh, Antonio Robles-Kelly, Shang Gao:
DGD-cGAN: A Dual Generator for Image Dewatering and Restoration. CoRR abs/2211.10026 (2022) - 2021
- [j35]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: 107784 (2021) - [j34]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): 3019-3033 (2021) - [c145]Lyle Collins, Antonio Robles-Kelly:
Single-image Object Classification Based on Illuminette Construction from Shadow Imaging. DICTA 2021: 1-8 - [c144]Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi:
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation. DICTA 2021: 1-7 - [c143]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust Neural Regression via Uncertainty Learning. IJCNN 2021: 1-6 - [c142]Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. IJCNN 2021: 1-6 - [e3]Andrea Torsello, Luca Rossi, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings. Lecture Notes in Computer Science 12644, Springer 2021, ISBN 978-3-030-73972-0 [contents] - [i14]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Robust Neural Regression via Uncertainty Learning. CoRR abs/2110.06395 (2021) - [i13]Weijia Wang, Xuequan Lu, Dasith de Silva Edirimuni, Xiao Liu, Antonio Robles-Kelly:
Deep Point Cloud Normal Estimation via Triplet Learning. CoRR abs/2110.10494 (2021) - [i12]Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi:
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation. CoRR abs/2112.11078 (2021) - 2020
- [j33]Akib Mashrur, Wei Luo, Nayyar Abbas Zaidi, Antonio Robles-Kelly:
Machine Learning for Financial Risk Management: A Survey. IEEE Access 8: 203203-203223 (2020) - [j32]Tariq Mahmood Khan, Antonio Robles-Kelly:
Machine Learning: Quantum vs Classical. IEEE Access 8: 219275-219294 (2020) - [j31]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: 12-23 (2020) - [c141]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: 683-697 - [c140]Tanya Boone-Sifuentes, Antonio Robles-Kelly, Asef Nazari:
Max-Variance Convolutional Neural Network Model Compression. DICTA 2020: 1-6 - [c139]Shashank Gupta, Antonio Robles-Kelly:
Feature-Extracting Functions for Neural Logic Rule Learning. DICTA 2020: 1-2 - [c138]Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi:
A Semantically Flexible Feature Fusion Network for Retinal Vessel Segmentation. ICONIP (4) 2020: 159-167 - [c137]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: 172-179 - [c136]Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He:
Deep Patch-Based Human Segmentation. ICONIP (1) 2020: 229-240 - [c135]Tariq Mahmood Khan, Antonio Robles-Kelly:
A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks. ICONIP (5) 2020: 241-250 - [c134]Wei Luo, Akib Mashrur, Antonio Robles-Kelly, Gang Li:
Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk. IJCNN 2020: 1-8 - [c133]Fatemeh Ansarizadeh, David B. H. Tay, Dhananjay R. Thiruvady, Antonio Robles-Kelly:
Augmenting Graph Convolutional Neural Networks with Highpass Filters. S+SSPR 2020: 77-86 - [c132]Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek:
Feature Extraction Functions for Neural Logic Rule Learning. S+SSPR 2020: 98-107 - [c131]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: 324-333 - [c130]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: 2793-2802 - [i11]Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh:
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. CoRR abs/2002.11256 (2020) - [i10]Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan S. Kankanhalli:
Hierarchically Fair Federated Learning. CoRR abs/2004.10386 (2020) - [i9]Dongbo Zhang, Zheng Fang, Xuequan Lu, Hong Qin, Antonio Robles-Kelly, Chao Zhang, Ying He:
Deep Patch-based Human Segmentation. CoRR abs/2007.05661 (2020) - [i8]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 abs/2007.09342 (2020) - [i7]Shashank Gupta, Antonio Robles-Kelly:
Feature-Extracting Functions for Neural Logic Rule Learning. CoRR abs/2008.06326 (2020) - [i6]Tariq Mahmood Khan, Antonio Robles-Kelly:
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks. CoRR abs/2009.13264 (2020)
2010 – 2019
- 2019
- [c129]Junxuan Li, Antonio Robles-Kelly, Shaodi You, Yasuyuki Matsushita:
Learning to Minify Photometric Stereo. CVPR 2019: 7568-7576 - [c128]Antonio Robles-Kelly, Asef Nazari:
Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training. DICTA 2019: 1-6 - [c127]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: 256-265 - [i5]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 abs/1902.05672 (2019) - [i4]Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte:
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study. CoRR abs/1904.00540 (2019) - [i3]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 abs/1909.02221 (2019) - 2018
- [j30]Lawrence Mutimbu, Antonio Robles-Kelly:
A factor graph evidence combining approach to image defogging. Pattern Recognit. 82: 56-67 (2018) - [c126]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: 3-12 - [c125]Mehrdad Shoeiby, Mohammad Ali Armin, Antonio Robles-Kelly:
Image Registration via Geometrically Constrained Total Variation Optical Flow. DICTA 2018: 1-7 - [c124]Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte:
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study. ECCV Workshops (5) 2018: 276-287 - [c123]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: 356-371 - [c122]Antonio Robles-Kelly, Ran Wei:
A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images. ICPR 2018: 109-114 - [c121]Junxuan Li, Shaodi You, Antonio Robles-Kelly:
A Frequency Domain Neural Network for Fast Image Super-resolution. IJCNN 2018: 1-8 - [c120]Ran Wei, Antonio Robles-Kelly, Jose M. Alvarez:
Context Free Band Reduction Using a Convolutional Neural Network. S+SSPR 2018: 86-96 - [e2]Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings. Lecture Notes in Computer Science 11004, Springer 2018, ISBN 978-3-319-97784-3 [contents] - 2017
- [j29]Sejuti Rahman, Antonio Robles-Kelly:
Estimating Reflectance Parameters, Light Direction, and Shape From a Single Multispectral Image. IEEE Trans. Computational Imaging 3(4): 837-852 (2017) - [c119]Junxuan Li, Shaodi You, Antonio Robles-Kelly:
Stereo Super-Resolution via a Deep Convolutional Network. DICTA 2017: 1-7 - [c118]Antonio Robles-Kelly, Ran Wei:
A spectral clustering approach for online and streaming applications. IJCNN 2017: 3904-3911 - [i2]Junxuan Li, Shaodi You, Antonio Robles-Kelly:
A Frequency Domain Neural Network for Fast Image Super-resolution. CoRR abs/1712.03037 (2017) - 2016
- [j28]Lawrence Mutimbu, Antonio Robles-Kelly:
Multiple Illuminant Color Estimation via Statistical Inference on Factor Graphs. IEEE Trans. Image Process. 25(11): 5383-5396 (2016) - [c117]Filippo Bergamasco, Andrea Torsello, Antonio Robles-Kelly:
Spectral Dichromatic Parameter Recovery from Two Views via Total Variation Hyper-priors. ACCV Workshops (1) 2016: 317-333 - [c116]Lin Gu, Antonio Robles-Kelly:
A quadratic optimisation approach for shading and specularity recovery from a single image. ICIP 2016: 4072-4076 - [c115]Antonio Robles-Kelly, Ran Wei:
Semi-supervised image labelling using barycentric graph embeddings. ICPR 2016: 1518-1523 - [c114]Antonio Robles-Kelly, Lin Gu, Ran Wei:
Classification from a Riemannian graph embedding viewpoint. IJCNN 2016: 3288-3295 - [c113]Antonio Robles-Kelly:
Least-Squares Regression with Unitary Constraints for Network Behaviour Classification. S+SSPR 2016: 26-36 - [p1]Lin Gu, Antonio Robles-Kelly:
Outdoor Shadow modelling and its Applications. Handbook of Pattern Recognition and Computer Vision 2016: 473-490 - [e1]Antonio Robles-Kelly, Marco Loog, Battista Biggio, Francisco Escolano, Richard C. Wilson:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2016, Mérida, Mexico, November 29 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 10029, 2016, ISBN 978-3-319-49054-0 [contents] - 2015
- [j27]Ahmed Sohaib, Antonio Robles-Kelly:
Exposure time calculation for spectral cameras. J. Electronic Imaging 24(5): 053025 (2015) - [c112]Ahmed Sohaib, Antonio Robles-Kelly:
Exposure Adjustment for Hyperspectral Cameras. DICTA 2015: 1-7 - [c111]Ahmed Sohaib, Antonio Robles-Kelly:
Radiometric calibration for HDR imaging. ICIP 2015: 2815-2819 - [c110]Lawrence Mutimbu, Antonio Robles-Kelly:
Factor graphs for pixelwise illuminant estimation. IJCNN 2015: 1-8 - [c109]Antonio Robles-Kelly:
Single Image Spectral Reconstruction for Multimedia Applications. ACM Multimedia 2015: 251-260 - 2014
- [j26]Lin Gu, Antonio Robles-Kelly:
Shadow modelling based upon Rayleigh scattering and Mie theory. Pattern Recognit. Lett. 43: 89-97 (2014) - [j25]Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly:
Segmentation and Estimation of Spatially Varying Illumination. IEEE Trans. Image Process. 23(8): 3478-3489 (2014) - [c108]Sejuti Rahman, Antony Lam, Imari Sato, Antonio Robles-Kelly:
Color Photometric Stereo Using a Rainbow Light for Non-Lambertian Multicolored Surfaces. ACCV (1) 2014: 335-350 - [c107]Arash Shahriari, Jose M. Alvarez, Antonio Robles-Kelly:
Class-Driven Color Transformation for Semantic Labeling. ACCV (3) 2014: 436-451 - [c106]Cong Phuoc Huynh, Antonio Robles-Kelly:
Recovery of Spectral Sensitivity Functions from a Colour Chart Image under Unknown Spectrally Smooth Illumination. ICPR 2014: 708-713 - [c105]Lawrence D. Mutimbu, Antonio Robles-Kelly:
Factor Graphs for Image Processing. ICPR 2014: 1443-1448 - [c104]Johannes Jordan, Elli Angelopoulou, Antonio Robles-Kelly:
An unsupervised material learning method for imaging spectroscopy. IJCNN 2014: 2428-2435 - [c103]