Syed Afaq Ali Shah

Orcid: 0000-0003-2181-8445

According to our database1, Syed Afaq Ali Shah authored at least 69 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Developing a Novel Ontology for Cybersecurity in Internet of Medical Things-Enabled Remote Patient Monitoring.
Sensors, May, 2024

A Systematic Collection of Medical Image Datasets for Deep Learning.
ACM Comput. Surv., May, 2024

Research Progress on Router Devices for the OAM Optical Communication.
Sensors, February, 2024

Scene Graph Generation: A comprehensive survey.
Neurocomputing, January, 2024

Language Model Guided Interpretable Video Action Reasoning.
CoRR, 2024

Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach.
CoRR, 2024

2023
Position and structure-aware graph learning.
Neurocomputing, November, 2023

CommuNety: deep learning-based face recognition system for the prediction of cohesive communities.
Multim. Tools Appl., March, 2023

UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene.
CoRR, 2023

UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Learning Approach for Automatic Segmentation of Dirt on Cattle Skin using Image Data.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

Hierarchical Transformer for Visual Affordance Understanding using a Large-scale Dataset.
IROS, 2023

3D Brain Registration with Intensity Shift Robustness.
Proceedings of the IEEE International Conference on Image Processing, 2023

A Large Scale Multi-View RGBD Visual Affordance Learning Dataset.
Proceedings of the IEEE International Conference on Image Processing, 2023

Deep Bayesian Image Set Classification Approach for Defense against Adversarial Attacks.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Analysis and Variants of Broad Learning System.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Probability-Based Framework to Fuse Temporal Consistency and Semantic Information for Background Segmentation.
IEEE Trans. Multim., 2022

MEDAS: an open-source platform as a service to help break the walls between medicine and informatics.
Neural Comput. Appl., 2022

Novel deep learning approach to model and predict the spread of COVID-19.
Intell. Syst. Appl., 2022

Towards Visual Affordance Learning: A Benchmark for Affordance Segmentation and Recognition.
CoRR, 2022

Scene Graph Generation: A Comprehensive Survey.
CoRR, 2022

2021
Multi-Modal Co-Learning for Liver Lesion Segmentation on PET-CT Images.
IEEE Trans. Medical Imaging, 2021

Automatic Number Plate Recognition: A Detailed Survey of Relevant Algorithms.
Sensors, 2021

U-net based analysis of MRI for Alzheimer's disease diagnosis.
Neural Comput. Appl., 2021

Real time surveillance for low resolution and limited data scenarios: An image set classification approach.
Inf. Sci., 2021

Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks.
CoRR, 2021

SubICap: Towards Subword-informed Image Captioning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

The Role of Machine Learning in Game Development Domain - A Review of Current Trends and Future Directions.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Redundancy and Attention in Convolutional LSTM for Gesture Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2020

Block Level Skip Connections Across Cascaded V-Net for Multi-Organ Segmentation.
IEEE Trans. Medical Imaging, 2020

Topology-learnable graph convolution for skeleton-based action recognition.
Pattern Recognit. Lett., 2020

Color vision deficiency datasets & recoloring evaluation using GANs.
Multim. Tools Appl., 2020

A Dataset of Pulmonary Lesions With Multiple-Level Attributes and Fine Contours.
Frontiers Digit. Health, 2020

Deep Learning Models for Early Detection and Prediction of the spread of Novel Coronavirus (COVID-19).
CoRR, 2020

CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities.
CoRR, 2020

MeDaS: An open-source platform as service to help break the walls between medicine and informatics.
CoRR, 2020

Structure-Feature based Graph Self-adaptive Pooling.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Leveraging Linguistically-aware Object Relations and NASNet for Image Captioning.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

Efficient Detection of Pixel-Level Adversarial Attacks.
Proceedings of the IEEE International Conference on Image Processing, 2020

Efficient Scene Text Detection with Textual Attention Tower.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

WEmbSim: A Simple yet Effective Metric for Image Captioning.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019
Continuous Gesture Segmentation and Recognition Using 3DCNN and Convolutional LSTM.
IEEE Trans. Multim., 2019

LCEval: Learned Composite Metric for Caption Evaluation.
Int. J. Comput. Vis., 2019

Machine Learning Approaches for Prediction of Facial Rejuvenation Using Real and Synthetic Data.
IEEE Access, 2019

Spatial Hierarchical Analysis Deep Neural Network for RGB-D Object Recognition.
Proceedings of the Image and Video Technology, 2019

Relationship Detection Based on Object Semantic Inference and Attention Mechanisms.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Deep Learning for Scene Understanding.
Proceedings of the Handbook of Deep Learning Applications., 2019

2018
A Guide to Convolutional Neural Networks for Computer Vision
Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, ISBN: 978-3-031-01821-3, 2018

Semantic scene completion with dense CRF from a single depth image.
Neurocomputing, 2018

Improved colour-to-grey method using image segmentation and colour difference model for colour vision deficiency.
IET Image Process., 2018

Efficient finer-grained incremental processing with MapReduce for big data.
Future Gener. Comput. Syst., 2018

Image Set Classification for Low Resolution Surveillance.
CoRR, 2018

Improving Semantic Image Segmentation With a Probabilistic Superpixel-Based Dense Conditional Random Field.
IEEE Access, 2018

Evolutionary Feature Learning for 3-D Object Recognition.
IEEE Access, 2018

Attention in Convolutional LSTM for Gesture Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Training-Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvenation.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

A Fully Automatic Framework for Prediction of 3D Facial Rejuvenation.
Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand, 2018

Reflective Field for Pixel-Level Tasks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

NNEval: Neural Network Based Evaluation Metric for Image Captioning.
Proceedings of the Computer Vision - ECCV 2018, 2018

Learning-based Composite Metrics for Improved Caption Evaluation.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, Student Research Workshop, 2018

2017
Keypoints-based surface representation for 3D modeling and 3D object recognition.
Pattern Recognit., 2017

Efficient Image Set Classification Using Linear Regression Based Image Reconstruction.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
A novel feature representation for automatic 3D object recognition in cluttered scenes.
Neurocomputing, 2016

Iterative deep learning for image set based face and object recognition.
Neurocomputing, 2016

2015
A novel 3D vorticity based approach for automatic registration of low resolution range images.
Pattern Recognit., 2015

Automatic 3D face landmark localization based on 3D vector field analysis.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015

2014
Performance Evaluation of 3D Local Surface Descriptors for Low and High Resolution Range Image Registration.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

2013
3D-Div: A novel local surface descriptor for feature matching and pairwise range image registration.
Proceedings of the IEEE International Conference on Image Processing, 2013

A Novel Local Surface Description for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013


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