Mohsen Ali

Orcid: 0000-0003-4809-8679

According to our database1, Mohsen Ali authored at least 50 papers between 2012 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Cross-region building counting in satellite imagery using counting consistency.
Neural Comput. Appl., October, 2023

Generative image captioning in Urdu using deep learning.
J. Ambient Intell. Humaniz. Comput., 2023

Cal-DETR: Calibrated Detection Transformer.
CoRR, 2023

Leveraging Topology for Domain Adaptive Road Segmentation in Satellite and Aerial Imagery.
CoRR, 2023

Detection and Localization of Firearm Carriers in Complex Scenes for Improved Safety Measures.
CoRR, 2023

CloudUP - Upsampling Vibrant Color Point Clouds Using Multi-Scale Spatial Attention.
IEEE Access, 2023

Cal-DETR: Calibrated Detection Transformer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Automated Monitoring Of Glacial Lakes In Hindu Kush And Himalayas Using Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A dataset and benchmark for malaria life-cycle classification in thin blood smear images.
Neural Comput. Appl., 2022

Mapping Temporary Slums From Satellite Imagery Using a Semi-Supervised Approach.
IEEE Geosci. Remote. Sens. Lett., 2022

Optimal school site selection in Urban areas using deep neural networks.
J. Ambient Intell. Humaniz. Comput., 2022

Distribution regularized self-supervised learning for domain adaptation of semantic segmentation.
Image Vis. Comput., 2022

FogAdapt: Self-supervised domain adaptation for semantic segmentation of foggy images.
Neurocomputing, 2022

Mapping Temporary Slums from Satellite Imagery using a Semi-Supervised Approach.
CoRR, 2022

Combining Scale-Invariance and Uncertainty for Self-Supervised Domain Adaptation of Foggy Scenes Segmentation.
CoRR, 2022

Identifying out of distribution samples for skin cancer and malaria images.
Biomed. Signal Process. Control., 2022

Towards Improving Calibration in Object Detection Under Domain Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Learning for Monitoring Glacial Lakes Formation using Sentinel 2 Multispectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Towards Low-Cost and Efficient Malaria Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Leveraging orientation for weakly supervised object detection with application to firearm localization.
Neurocomputing, 2021

Out of distribution detection for skin and malaria images.
CoRR, 2021

Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection.
CoRR, 2021

Learning to Detect Local Features Using Information Change.
IEEE Access, 2021

SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite Imagery.
CoRR, 2020

Localizing Firearm Carriers by Identifying Human-Object Pairs.
CoRR, 2020

CAxCNN: Towards the Use of Canonic Sign Digit Based Approximation for Hardware-Friendly Convolutional Neural Networks.
IEEE Access, 2020

MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Localizing Firearm Carriers By Identifying Human-Object Pairs.
Proceedings of the IEEE International Conference on Image Processing, 2020

Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Layered convolutional dictionary learning for sparse coding itemsets.
World Wide Web, 2019

Virtual learning environment to predict withdrawal by leveraging deep learning.
Int. J. Intell. Syst., 2019

Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency.
CoRR, 2019

Orientation Aware Object Detection with Application to Firearms.
CoRR, 2019

Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting.
CoRR, 2019

Twin-Net Descriptor: Twin Negative Mining With Quad Loss for Patch-Based Matching.
IEEE Access, 2019

2018
Designing Robot Receptionist for Overcoming Poor Infrastructure, Low Literacy and Low Rate of Female Interaction.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

2017
Using Satellite Imagery for Good: Detecting Communities in Desert and Mapping Vaccination Activities.
CoRR, 2017

High-Level Concepts for Affective Understanding of Images.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

More for less: Insights into convolutional nets for 3D point cloud recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Detecting Target Text Related to Algorithmic Efficiency in Scholarly Big Data Using Recurrent Convolutional Neural Network Model.
Proceedings of the Digital Libraries: Data, Information, and Knowledge for Digital Lives, 2017

Automatic Image transformation for inducing affect.
Proceedings of the British Machine Vision Conference 2017, 2017

2014
Deconstructing Kernel Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Deconstructing Binary Classifiers in Computer Vision.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Color de-rendering using coupled dictionary learning.
Proceedings of the IEEE International Conference on Image Processing, 2013

Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classifications.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Block and Group Regularized Sparse Modeling for Dictionary Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Comparing Background Subtraction Algorithms and Method of Car Counting
CoRR, 2012


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