Image resolution enhancement by using interpolation followed by iterative back projection. - Pejman Rasti; Hasan Demirel; Gholamreza Anbarjafari (SIU, 2013)

Improved Iterative Back Projection for video super-resolution. - Pejman Rasti; Hasan Demirel; Gholamreza Anbarjafari (SIU, 2014)

Deep learning based super-resolution for improved action recognition. - Kamal Nasrollahi; Sergio Escalera; Pejman Rasti; Gholamreza Anbarjafari; Xavier Baró; Hugo Jair Escalante; Thomas B. Moeslund (IPTA, 2015)

Autofocus liquid lens by using sharpness measurement. - Pejman Rasti; Rudolf Kiefer; Gholamreza Anbarjafari (SIU, 2015)

Convolutional Neural Network Super Resolution for Face Recognition in Surveillance Monitoring. - Pejman Rasti; Tõnis Uiboupin; Sergio Escalera; Gholamreza Anbarjafari (AMDO, 2016)

Improved interpolation kernels for super resolution algorithms. - Pejman Rasti; Olga Orlova; Gert Tamberg; Cagri Ozcinar; Kamal Nasrollahi; Thomas B. Moeslund; Gholamreza Anbarjafari (IPTA, 2016)

Medical image illumination enhancement and sharpening by using stationary wavelet transform. - Pejman Rasti; Morteza Daneshmand; Fatih Alisinanoglu; Cagri Ozcinar; Gholamreza Anbarjafari (SIU, 2016)

Facial image super resolution using sparse representation for improving face recognition in surveillance monitoring. - Tõnis Uiboupin; Pejman Rasti; Gholamreza Anbarjafari; Hasan Demirel (SIU, 2016)

Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images. - Marco Bellantonio; Mohammad A. Haque; Pau Rodríguez; Kamal Nasrollahi; Taisi Telve; Sergio Escalera; Jordi Gonzàlez 001; Thomas B. Moeslund; Pejman Rasti; Gholamreza Anbarjafari (VAAM/FFER@ICPR, 2016)

Robust non-blind color video watermarking using QR decomposition and entropy analysis. - Pejman Rasti; Salma Samiei; Mary Agoyi; Sergio Escalera; Gholamreza Anbarjafari (J. Vis. Commun. Image Represent., 2016)

On the value of graph-based segmentation for the analysis of structural networks in life sciences. - Denis Bujoreanu; Pejman Rasti; David Rousseau (EUSIPCO, 2017)

Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification. - Christer Loob; Pejman Rasti; Iiris Lüsi; Júlio C. S. Jacques Júnior; Xavier Baró; Sergio Escalera; Tomasz Sapinski; Dorota Kaminska; Gholamreza Anbarjafari (FG, 2017)

Colour image watermarking based on wavelet and QR decomposition. - Pejman Rasti; Gholamreza Anbarjafari; Hasan Demirel (SIU, 2017)

A new low-complexity patch-based image super-resolution. - Pejman Rasti; Kamal Nasrollahi; Olga Orlova; Gert Tamberg; Cagri Ozcinar; Thomas B. Moeslund; Gholamreza Anbarjafari (IET Comput. Vis., 2017)

Reducible dictionaries for single image super-resolution based on patch matching and mean shifting. - Pejman Rasti; Kamal Nasrollahi; Olga Orlova; Gert Tamberg; Thomas B. Moeslund; Gholamreza Anbarjafari (J. Electronic Imaging, 2017)

Low-cost vision machine for high-throughput automated monitoring of heterotrophic seedling growth on wet paper support. - Pejman Rasti; Didier Demilly; Landry Benoit; Étienne Belin; Sylvie Ducournau; François Chapeau-Blondeau; David Rousseau (BMVC, 2018)

Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke. - Mathilde Giacalone; Pejman Rasti; Noëlie Debs; Carole Frindel; Tae-Hee Cho; Emmanuel Grenier; David Rousseau (Medical Image Anal., 2018)

Toward a Computer Vision Perspective on the Visual Impact of Vegetation in Symmetries of Urban Environments. - Salma Samiei; Pejman Rasti; Hervé Daniel; Étienne Belin; Paul Richard; David Rousseau (Symmetry, 2018)

Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images. - Natalia Sapoukhina; Salma Samiei; Pejman Rasti; David Rousseau (CVPR Workshops, 2019)

Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density. - Pejman Rasti; Ali Ahmad 001; Salma Samiei; Étienne Belin; David Rousseau (Remote. Sens., 2019)

Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves. - Mouad Zine El Abidine; Sabine Merdinoglu-Wiedemann; Pejman Rasti; Helin Dutagaci; David Rousseau (ICISP, 2020)

Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke. - Noëlie Debs; Pejman Rasti; Léon Victor; Tae-Hee Cho; Carole Frindel; David Rousseau (Comput. Biol. Medicine, 2020)

Correction to: Optimal image compression via block-based adaptive colour reduction with minimal contour effect. - Pejman Rasti; Iiris Lüsi; Anastasia Bolotnikova; Morteza Daneshmand; Cagri Ozcinar; Gholamreza Anbarjafari (Multim. Tools Appl., 2020)

Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection. - Salma Samiei; Pejman Rasti; Paul Richard; Gilles Galopin; David Rousseau (Sensors, 2020)

Deep Learning-Based Detection of Seedling Development from Indoor to Outdoor. - Hadhami Garbouge; Pejman Rasti; David Rousseau (IWSSIP, 2021)

Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning. - Hadhami Garbouge; Pejman Rasti; David Rousseau (Sensors, 2021)

Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification. - Abderrazzaq Moufidi; David Rousseau; Pejman Rasti (ANNPR, 2022)

Self-Supervised Learning for Functional Brain Networks identification in fMRI from Healthy to Unhealthy Patients. - Lukman E. Ismaila; Pejman Rasti; Jean-Michel Lemée; David Rousseau (SITIS, 2022)

Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI. - Lukman E. Ismaila; Pejman Rasti; Jean-Michel Lemée; David Rousseau (CoRR, 2023)

On the Use of Circadian Cycles to Monitor Individual Young Plants. - Mathis Cordier; Cindy Torres; Pejman Rasti; David Rousseau (Remote. Sens., 2023)

Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person Identification. - Abderrazzaq Moufidi; David Rousseau; Pejman Rasti (Sensors, 2023)

Growth Data - An automatic solution for seedling growth analysis via RGB-Depth imaging sensors. - Geoffroy Couasnet; Mathis Cordier; Hadhami Garbouge; Félix Mercier; David Pierre; Angelina El Ghaziri; Pejman Rasti; David Rousseau (SoftwareX, 2023)

Toward Objective Variety Testing Score Based on Computer Vision and Unsupervised Machine Learning: Application to Apple Shape. - Mouad Zine El Abidine; Helin Dutagaci; Pejman Rasti; Maria José Aranzana; Christian Dujak; David Rousseau (IMPROVE, 2024)

Multimodal Deepfake Detection for Short Videos. - Abderrazzaq Moufidi; David Rousseau; Pejman Rasti (IMPROVE, 2024)

Toward comprehensive short utterances manipulations detection in videos. - Abderrazzaq Moufidi; David Rousseau; Pejman Rasti (Multim. Tools Appl., 2025)