Publications

Adaptive feature refinement for texture-preserving single image super-resolution

• Toshpulatov, M., Safarov, F., et al.

Cluster Computing Publisher: Springer US IF: 4.2

Hyperspectral Anomaly Detection with Enhanced Spectral Graph Transformer Network

Safarov F., Toshpulatov, M., et al

IEEE Access IF: 4.82

Deep learning pathways for automatic sign language processing

Toshpulatov, M., Lee, W., & Lee, S.

Pattern Recognition, 164, 111475 SCIE, IF: 9.84

DDC3N: Doppler-driven convolutional 3D network for human action recognition

Toshpulatov, M., Lee, W., & Lee, S. et al

IEEE Access, 10.1109/ACCESS.2024.3422428 SCIE, IF: 4.82

Talking human face generation: survey

Toshpulatov, M., Lee, W., & Lee, S.

Expert Systems with Applications, 219, 119678 SCIE, IF: 9.29

Human pose, hand, and mesh estimation using deep learning: survey

Toshpulatov, M., Lee, W., & Lee, S.

The Journal of Supercomputing, 78(6), 7616-7654 SCIE, IF: 3.96

Generative adversarial networks and their application to 3D face generation: a survey

Toshpulatov, M., Lee, W., & Lee, S.

Image and Vision Computing, 104-119 SCIE, IF: 4.3

Sentimentogram: Learning Personalized Emotion Visualizations from User Preferences

Toshpulatov, M., Lee, W., Lee, S., Kuvandikov, J., & Oh, S.

Proceedings ACL Findings 2026, 185-187

Real-Time Multimodal Fingertip Contact Detection via Depth and Motion Fusion for Vision-Based Human–Computer Interaction

Toshpulatov, M., Lee, W., Lee, S., & Lee G.

Proceedings CVPR 2026,

Enhancing Sign Language Recognition: A Computationally Efficient and Interpretable Multi-Modal Approach

Toshpulatov, M., & Lee, W. (2026).

Proceedings Big Data and Smart Computing (BigComp2026), pp 390-393

The language of silence: a deep dive into interpretable sign language recognition

Toshpulatov, M., Lee, W., & Lee, S.

Proceedings Korean Software Congress 2024, pp. 185-187

A Novel Scholarly Approach to Action Recognition: A CNN Architecture Enhanced with Innovative Preprocessing Techniques

Toshpulatov, M., & Lee, W.

Proceedings Big Data Applications and Services (BIGDAS2024)

Human action recognition utilizing Doppler-enhanced convolutional 3D networks

Toshpulatov, M., & Lee, W.

Proceedings of the International Conference on Big Data and Smart Computing (BigComp)

Streamlining Computational Complexity: A Novel Data Processing Approach for Enhanced 3DCNN Performance in Human Action Recognition

Toshpulatov, M., & Lee, W.

Proceedings Korean Computer Congress 2024, 107-109

Athletes' action recognition through skeleton-based human pose estimation and 3D convolutional networks

Toshpulatov, M., & Lee, W.

Proceedings System Engineering Conference, 57-59

Privacy-preserving of human identification in CCTV data using a novel deep learning-based method

Toshpulatov, M., Lee, W., & Lee, S.

Proceedings International Conference on Big Data and Smart Computing (BigComp)

Research Issues on Generative Adversarial Networks and Applications

Toshpulatov, M., Lee, W., & Lee, S.

Proceedings International Conference on Big Data and Smart Computing (BigComp)

"Recent advancement in DL-based Sign Language Processing"

AI & Big Data Workshop, Inha University, 26 September 2025, Incheon, South Korea

"Recent advancement in AI embedded HCI"

Tashkent Institute of Management and Economics, 17-18 April 2025, Tashkent, Uzbekistan

"Transformer based novel sign language recognition approaches"

Djizakh Polytechnical Institute, 21-22 February 2025, Djizakh, Uzbekistan

"Multimodal action recognition methods"

Djizakh Polytechnical Institute, 11-12 March 2024, Djizakh, Uzbekistan

"AI in education systems"

Sambhram University, 26-27 July 2022, Djizakh, Uzbekistan