Usman Nazir

According to our database, Usman Nazir authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

2023

Learning adjacency matrix for dynamic graph neural network.

Osama Ahmad, Omer Abdul Jalil, Usman Nazir, Murtaza Taj

CoRR, 2023

Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA).

Usman Nazir, W. Islam, Murtaza Taj

CoRR, 2023

Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning.

Usman Nazir, Murtaza Taj, Momin Uppal, Sara Khalid

CoRR, 2023

Improved Flood Mapping for Efficient Policy Design by Fusion of Sentinel-1, Sentinel-2 and Landsat-9 Imagery to Identify Population and Infrastructure Exposed to Floods.

Usman Nazir, Muhammad Ahmad Waseem, Falak Sher Khan, Rabia Saeed, Syed Muhammad Hasan, Momin Uppal, Zubair Khalid

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Feature Selection on Sentinel-2 Multi-Spectral Imagery for Efficient Tree Cover Estimation.

Usman Nazir, Momin Uppal, Muhammad Tahir, Zubair Khalid

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021

Survey of Image Based Graph Neural Networks.

Usman Nazir, He Wang, Murtaza Taj

CoRR, 2021

2020

Kiln-Net: A Gated Neural Network for Detection of Brick Kilns in South Asia.

Usman Nazir, Usman Khalid Mian, Muhammad Usman Sohail, Murtaza Taj, Momin Uppal

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019

Accurate Localization in Wireless Sensor Networks in the Presence of Cross Technology Interference.

Usman Nazir

CoRR, 2019

Accurate Localization Algorithm in Wireless Sensor Networks in the Presence of Cross Technology Interference.

Usman Nazir, Ijaz Haider Naqvi, Murtaza Taj

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Using 3D Residual Network for Spatio-temporal Analysis of Remote Sensing Data.

Muhammad Ahmed Bhimra, Usman Nazir, Murtaza Taj

Proceedings of the IEEE International Conference on Acoustics, 2019

Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia.

Usman Nazir, Numan Khurshid, Muhammad Ahmed Bhimra, Murtaza Taj

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019