Alireza Esmaeilzehi
Orcid: 0000-0002-3625-1608
According to our database1,
Alireza Esmaeilzehi authored at least 43 papers
between 2017 and 2026.
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Bibliography
2026
SNRENN: A Transformer-Based Neural Network with Self-Supervised Learning for Auditory Steady State Response Signal SNR Enhancement.
Circuits Syst. Signal Process., April, 2026
Opfusion: a deep blind image super resolution network using generative diffusion models and neural operator learning.
Multim. Syst., February, 2026
INNFusion: A Diffusion-Based Blind Image Super Resolution Scheme Using Reversible Degradation Process With Invertible Neural Networks.
IEEE Trans. Image Process., 2026
2025
IRBFusion: Diffusion-Based Blind Image Super Resolution Using Unsupervised Learning and Bank of Restoration Networks.
IEEE Trans. Broadcast., December, 2025
HiSpecmer: a deep efficient image super resolution network using transformers with hierarchical and spectral feature attention.
Multim. Tools Appl., November, 2025
FUVT: a deep few-shot unsupervised learning-based video-to-video translation scheme using Kalman filtering and relativistic GAN.
Signal Image Video Process., May, 2025
DCSR: A deep continual learning-based scheme for image super resolution using knowledge distillation.
Appl. Intell., May, 2025
UADiff: A Deep Underwater Image Enhancement Network Using Generative Diffusion Prior and Uncertainty-Aware Learning.
IEEE Trans. Geosci. Remote. Sens., 2025
CLBSR: A deep curriculum learning-based blind image super resolution network using geometrical prior.
Image Vis. Comput., 2025
ZFusion: Efficient Deep Compositional Zero-Shot Learning for Blind Image Super-Resolution with Generative Diffusion Prior.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
OSR: Toward Developing Efficient Federated Learning-based Human Activity Recognition using Optimal Server Representations.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
MIPE: Towards Cleaning the Datasets of Autonomous Driving Systems Using Multi-Modal Information Processing and Confident Learning.
IEEE Trans. Intell. Veh., September, 2024
DMML: Deep Multi-Prior and Multi-Discriminator Learning for Underwater Image Enhancement.
IEEE Trans. Broadcast., June, 2024
HighBoostNet: a deep light-weight image super-resolution network using high-boost residual blocks.
Vis. Comput., February, 2024
DJUHNet: A deep representation learning-based scheme for the task of joint image upsampling and hashing.
Signal Process. Image Commun., 2024
HARWE: A multi-modal large-scale dataset for context-aware human activity recognition in smart working environments.
Pattern Recognit. Lett., 2024
OODNet: A deep blind JPEG image compression deblocking network using out-of-distribution detection.
J. Vis. Commun. Image Represent., 2024
Comput. Vis. Image Underst., 2024
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering.
CoRR, 2024
DisCrossFormer: A Deep Light-Weight Image Super Resolution Network Using Disentangled Visual Signal Processing and Correlated Cross-Attention Transformer Operation.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024
2023
Ultralight-Weight Three-Prior Convolutional Neural Network for Single Image Super Resolution.
IEEE Trans. Artif. Intell., December, 2023
DPAN: A Deep Light-Weight Attention-Based Image Super Resolution Network Using Multi-Dimensional Filter Design Technique.
IEEE Signal Process. Lett., 2023
Development of an Efficient ECG and PPG Signal Processing-based Spoof Detection System using Convolutional Neural Networks.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023
2022
FPNet: A Deep Light-Weight Interpretable Neural Network Using Forward Prediction Filtering for Efficient Single Image Super Resolution.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
SRNMSM: A Deep Light-Weight Image Super Resolution Network Using Multi-Scale Spatial and Morphological Feature Generating Residual Blocks.
IEEE Trans. Broadcast., 2022
Towards Analyzing the Robustness of Deep Light-weight Image Super Resolution Networks under Distribution Shift.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022
DSegAN: A Deep Light-weight Segmentation-based Attention Network for Image Restoration.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
2021
SRNSSI: A Deep Light-Weight Network for Single Image Super Resolution Using Spatial and Spectral Information.
IEEE Trans. Computational Imaging, 2021
UPDResNN: A Deep Light-Weight Image Upsampling and Deblurring Residual Neural Network.
IEEE Trans. Broadcast., 2021
SRNHARB: A deep light-weight image super resolution network using hybrid activation residual blocks.
Signal Process. Image Commun., 2021
MuRNet: A deep recursive network for super resolution of bicubically interpolated images.
Signal Process. Image Commun., 2021
MISNet: Multi-Resolution Level Feature Interpolating Ultralight-Weight Residual Image Super Resolution Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
MorphoNet: A Deep Image Super Resolution Network Using Hierarchical and Morphological Feature Generating Residual Blocks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
2020
PHMNet: A Deep Super Resolution Network using Parallel and Hierarchical Multi-Scale Residual Blocks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
EFFRBNet: A Deep Super Resolution Network using Edge-Assisted Feature Fusion Residual Blocks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Srnmfrb: A Deep Light-Weight Super Resolution Network Using Multi-Receptive Field Feature Generation Residual Blocks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
MGHCNET: A Deep Multi-Scale Granular and Holistic Channel Feature Generation Network for Image Super Resolution.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Development Of New Fractal And Non-Fractal Deep Residual Networks For Deblocking Of Jpeg Decompressed Images.
Proceedings of the IEEE International Conference on Image Processing, 2020
2019
SRSubBandNet: A New Deep Learning Scheme for Single Image Super Resolution Based on Subband Reconstruction.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
UPDCNN: A New Scheme for Image Upsampling and Deblurring Using a Deep Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Compnet: A New Scheme for Single Image Super Resolution Based on Deep Convolutional Neural Network.
IEEE Access, 2018
2017
Pattern Recognit. Lett., 2017