Basim Azam

According to our database, Basim Azam authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dynamic Image Deblurring based on Crosshatch Attention Adversarial Network and Hybrid Loss.

Ummama Aslam, Arslan Shaukat, Basim Azam

Proceedings of the 5th International Conference on Advancements in Computational Sciences, 2024

2023

Context-Adaptive Deep Learning for Efficient Image Parsing in Remote Sensing: An Automated Parameter Selection Approach.

Basim Azam, Brijesh K. Verma, Mengjie Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph.

Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang, Abdul Sattar

Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

A Graph-based Context Learning Technique for Image Parsing.

Basim Azam, Brijesh K. Verma

Proceedings of the International Joint Conference on Neural Networks, 2023

A Novel Graph-based Framework for Explainable Image Classification: Features That Matter.

Basim Azam, Brijesh K. Verma, Deepthi Praveenlal Kuttichira, Abdul Sattar

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Aircraft detection in satellite imagery using deep learning-based object detectors.

Basim Azam, Muhammad Jaleed Khan, Farrukh Aziz Bhatti, Abdur Rahman Maud, Syed Fawad Hussain, Ali Javed Hashmi, Khurram Khurshid

Microprocess. Microsystems, October, 2022

Relationship aware context adaptive deep learning for image parsing.

Basim Azam, Ranju Mandal, Brijesh K. Verma

Inf. Sci., 2022

Deep Learning Model with GA based Feature Selection and Context Integration.

Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang

CoRR, 2022

Deep collaborative network with alpha matte for precise knee tissue segmentation from MRI.

Sheheryar Khan, Basim Azam, Yongcheng Yao, Weitian Chen

Comput. Methods Programs Biomed., 2022

Genetic Algorithms for Optimising Context-based Neural Networks for Image Segmentation.

Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

A Novel Explainable Deep Learning Model with Class Specific Features.

Deepthi Praveenlal Kuttichira, Basim Azam, Brijesh K. Verma, Ashfaqur Rahman, Lipo Wang

Proceedings of the Image and Vision Computing - 37th International Conference, 2022

A Novel Optimized Context-Based Deep Architecture for Scene Parsing.

Ranju Mandal, Brijesh K. Verma, Basim Azam, Henry Selvaraj

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

Multipath CNN with alpha matte inference for knee tissue segmentation from MRI.

Sheheryar Khan, Basim Azam, Yongcheng Yao, Weitian Chen

CoRR, 2021

Relationship Aware Context Adaptive Feature Selection Framework for Image Parsing.

Basim Azam, Ranju Mandal, Brijesh K. Verma

Proceedings of the International Joint Conference on Neural Networks, 2021

Context-Based Deep Learning Architecture with Optimal Integration Layer for Image Parsing.

Ranju Mandal, Basim Azam, Brijesh K. Verma

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Fully Convolutional Neural Network with Relation Aware Context Information for Image Parsing.

Basim Azam, Ranju Mandal, Brijesh K. Verma

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Deep Learning Model with GA-based Visual Feature Selection and Context Integration.

Ranju Mandal, Basim Azam, Brijesh K. Verma, Mengjie Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Class Probability-based Visual and Contextual Feature Integration for Image Parsing.

Basim Azam, Ranju Mandal, Ligang Zhang, Brijesh K. Verma

Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020