Editor Profile

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Sartaj Ahmed Salman

Ph.D. Student

Present

Tokyo

Japan

The University of Electro-Communications

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My name is Sartaj Ahmed Salman. I earned my Masters in Computer Science and Technology from Nanjing University of Science and Technology in Nanjing, China. Following that, I pursued my PhD in the Department of Informatics at the University of Electro-Communication in Chofu, Tokyo, Japan.

My research interests lie in the fields of machine learning, deep learning, and computer vision. I am dedicated to exploring how these technologies can be applied to tackle various challenges in our modern world.

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Sartaj Ahmed Salman, Zakir, Ali, and Takahashi, Hiroki. ”Deformable Pose Network: A Multi-Stage Deformable Convolutional Network for 2D Hand Pose Estimation”. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, ISBN 978-989-758-679-8, ISSN 2184-4321, pages 814-821
  • Sartaj Ahmed Salman, Zakir A, Takahashi H. SDFPoseGraphNet: Spatial Deep Feature Pose Graph Network for 2D Hand Pose Estimation. Sensors. 2023; 23(22):9088. https://www.mdpi.com/1424-8220/23/22/9088
  • Sartaj Ahmed Salman, Ali Zakir, Gibran Benitez-Garcia and Hiroki Takahashi. ”ACENet: Attention-Driven Contextual Features-Enhanced Lightweight EfficientNet for 2D Hand Pose Estimation. ” IVCNZ 2023 Image and Vision Computing New Zealand (Nov 29 – Dec 1, 2023). https://ieeexplore.ieee.org/abstract/document/10343701
  • Sartaj Ahmed Salman, Ali Zakir, and Hiroki Takahashi. ”Cascaded deep graphical convolutional neural network for 2D hand pose estimation.” International Workshop on Advanced Imaging Technology (IWAIT) 2023. Vol. 12592. SPIE, 2023. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12592/2666956/Cascaded-deep-graphical-convolutional-neural-network-for-2D-hand-pose/10.1117/12.2666956.short
  • Sartaj Ahmed Salman, Zhichao Lian, Marva Saleem, and Yuduo Zhang. ”Functional Connectivity Based Classification of ADHD Using Different Atlases.” In 2020 IEEE International Conference on Progress in Informatics and Computing (PIC), pp. 62-66. IEEE, 2020. https://ieeexplore.ieee.org/abstract/document/9350749
  • ALi Zakir, Sartaj Ahmed Salman, and Takahashi, Hiroki.”EBA-PRNetCC: An Efficient Bridge Attention-Integration PoseResNet for Coordinate Classification in 2D Human Pose Estimation”. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP, ISBN 978-989-758-679-8, ISSN 2184-4321, pages 133-144.
  • Ali Zakir, Sartaj Ahmed Salman, and Hiroki Takahashi. ”SOCA-PRNet: Spatially Oriented Attention-Infused Structured-Feature-Enabled PoseResNet for 2D Human Pose Estimation.” Sensors 24, no. 1 (2023): 110. https://www.mdpi.com/1424-8220/24/1/110
  • Ali Zakir, Sartaj Ahmed Salman, Gibran Benitez-Garcia, and Hiroki Takahashi. ”AECA-PRNetCC: Adaptive Efficient Channel Attention-based PoseResNet for Coordinate Classification in 2D Human Pose. ” IVCNZ 2023 Image and Vision Computing New Zealand (Nov 29 – Dec 1, 2023). https://ieeexplore.ieee.org/abstract/document/10344181
  • Ali Zakir, Sartaj Ahmed Salman,and Hiroki Takahashi. ”SAHF-LightPoseResNet: Spatially-Aware Attention-Based Hierarchical Features Enabled Lightweight PoseResNet for 2D Human Pose Estimation”. The 24th International Conference on Parallel and Distributed Computing, Applications, and Technologies, South Korea (Aug 16-18, 2023). https://link.springer.com/chapter/10.1007/978-981-99-8211-0_5
  • Saleem, Marva, Zhichao Gan, Sartaj Ahmed Salman, Iqra Tabassum, Laila Tul Badar, and Ali Zakir. ”Strength and Similarity Guided GSR Based Network to Diagnose ADHD.” In 2020 IEEE International Conference on Progress in Informatics and Computing (PIC), pp. 185-189. IEEE, 2020. https://ieeexplore.ieee.org/abstract/document/9350771
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