Naeem Ul Islam

Orcid: 0000-0002-7806-9601

According to our database1, Naeem Ul Islam authored at least 13 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Graph-Powered Reinforcement Learning for Intelligent Task Offloading in Vehicular Networks.
Proceedings of the International Conference on Artificial Intelligence in Information and Communication , 2024

2023
A Novel Row Index Mathematical Procedure for the Mitigation of PV Output Power Losses during Partial Shading Conditions.
Symmetry, February, 2023

2021
Depth Estimation From a Single RGB Image Using Fine-Tuned Generative Adversarial Network.
IEEE Access, 2021

Estimating 3D Objects from 2D Images using 3D Transformation Network.
Proceedings of the 18th International Conference on Ubiquitous Robots, 2021

2020
Robust image completion and masking with application to robotic bin picking.
Robotics Auton. Syst., 2020

Prominent Attribute Modification using Attribute Dependent Generative Adversarial Network.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020

2019
Robust Image Translation and Completion Based on Dual Auto-Encoder With Bidirectional Latent Space Regression.
IEEE Access, 2019

Interpretation of Deep CNN Based on Learning Feature Reconstruction With Feedback Weights.
IEEE Access, 2019

Learning Typical 3D Representation from a Single 2D Correspondence Using 2D-3D Transformation Network.
Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, 2019

Interpretation of Deep CNN Recognition with Filter Space Clustering in Feature Extraction and Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
3D Deep Object Recognition and Semantic Understanding for Visually-Guided Robotic Service.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Cross Domain Image Transformation Using Effective Latent Space Association.
Proceedings of the Intelligent Autonomous Systems 15, 2018

2017
Learned Features are better for Ethnicity Classification.
CoRR, 2017


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