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Pejman Rasti
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2020 – today
- 2024
- [c20]Mouad Zine El Abidine, Helin Dutagaci, Pejman Rasti, Maria José Aranzana, Christian Dujak, David Rousseau:
Toward Objective Variety Testing Score Based on Computer Vision and Unsupervised Machine Learning: Application to Apple Shape. IMPROVE 2024: 15-22 - [c19]Abderrazzaq Moufidi, David Rousseau, Pejman Rasti:
Multimodal Deepfake Detection for Short Videos. IMPROVE 2024: 67-73 - 2023
- [j13]Mathis Cordier, Cindy Torres, Pejman Rasti, David Rousseau:
On the Use of Circadian Cycles to Monitor Individual Young Plants. Remote. Sens. 15(11): 2704 (2023) - [j12]Abderrazzaq Moufidi, David Rousseau, Pejman Rasti:
Attention-Based Fusion of Ultrashort Voice Utterances and Depth Videos for Multimodal Person Identification. Sensors 23(13): 5890 (2023) - [j11]Geoffroy Couasnet, Mathis Cordier, Hadhami Garbouge, Félix Mercier, David Pierre, Angelina El Ghaziri, Pejman Rasti, David Rousseau:
Growth Data - An automatic solution for seedling growth analysis via RGB-Depth imaging sensors. SoftwareX 24: 101572 (2023) - [i2]Lukman E. Ismaila, Pejman Rasti, Jean-Michel Lemée, David Rousseau:
Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI. CoRR abs/2307.01953 (2023) - 2022
- [c18]Abderrazzaq Moufidi, David Rousseau, Pejman Rasti:
Wavelet Scattering Transform Depth Benefit, An Application for Speaker Identification. ANNPR 2022: 97-106 - [c17]Lukman E. Ismaila, Pejman Rasti, Jean-Michel Lemée, David Rousseau:
Self-Supervised Learning for Functional Brain Networks identification in fMRI from Healthy to Unhealthy Patients. SITIS 2022: 362-367 - 2021
- [j10]Hadhami Garbouge, Pejman Rasti, David Rousseau:
Enhancing the Tracking of Seedling Growth Using RGB-Depth Fusion and Deep Learning. Sensors 21(24): 8425 (2021) - [c16]Hadhami Garbouge, Pejman Rasti, David Rousseau:
Deep Learning-Based Detection of Seedling Development from Indoor to Outdoor. IWSSIP 2021: 121-131 - 2020
- [j9]Noëlie Debs, Pejman Rasti, Léon Victor, Tae-Hee Cho, Carole Frindel, David Rousseau:
Simulated perfusion MRI data to boost training of convolutional neural networks for lesion fate prediction in acute stroke. Comput. Biol. Medicine 116: 103579 (2020) - [j8]Pejman Rasti, Iiris Lüsi, Anastasia Bolotnikova, Morteza Daneshmand, Cagri Ozcinar, Gholamreza Anbarjafari:
Correction to: Optimal image compression via block-based adaptive colour reduction with minimal contour effect. Multim. Tools Appl. 79(19-20): 14313-14314 (2020) - [j7]Salma Samiei, Pejman Rasti, Paul Richard, Gilles Galopin, David Rousseau:
Toward Joint Acquisition-Annotation of Images with Egocentric Devices for a Lower-Cost Machine Learning Application to Apple Detection. Sensors 20(15): 4173 (2020) - [c15]Mouad Zine El Abidine, Sabine Merdinoglu-Wiedemann, Pejman Rasti, Helin Dutagaci, David Rousseau:
Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves. ICISP 2020: 74-81
2010 – 2019
- 2019
- [j6]Pejman Rasti, Ali Ahmad, Salma Samiei, Étienne Belin, David Rousseau:
Supervised Image Classification by Scattering Transform with Application to Weed Detection in Culture Crops of High Density. Remote. Sens. 11(3): 249 (2019) - [c14]Natalia Sapoukhina, Salma Samiei, Pejman Rasti, David Rousseau:
Data Augmentation From RGB to Chlorophyll Fluorescence Imaging Application to Leaf Segmentation of Arabidopsis thaliana From Top View Images. CVPR Workshops 2019: 2563-2570 - 2018
- [j5]Mathilde Giacalone, Pejman Rasti, Noëlie Debs, Carole Frindel, Tae-Hee Cho, Emmanuel Grenier, David Rousseau:
Local spatio-temporal encoding of raw perfusion MRI for the prediction of final lesion in stroke. Medical Image Anal. 50: 117-126 (2018) - [j4]Salma Samiei, Pejman Rasti, Hervé Daniel, Étienne Belin, Paul Richard, David Rousseau:
Toward a Computer Vision Perspective on the Visual Impact of Vegetation in Symmetries of Urban Environments. Symmetry 10(12): 666 (2018) - [c13]Pejman Rasti, Didier Demilly, Landry Benoit, Étienne Belin, Sylvie Ducournau, François Chapeau-Blondeau, David Rousseau:
Low-cost vision machine for high-throughput automated monitoring of heterotrophic seedling growth on wet paper support. BMVC 2018: 323 - 2017
- [j3]Pejman Rasti, Kamal Nasrollahi, Olga Orlova, Gert Tamberg, Cagri Ozcinar, Thomas B. Moeslund, Gholamreza Anbarjafari:
A new low-complexity patch-based image super-resolution. IET Comput. Vis. 11(7): 567-576 (2017) - [j2]Pejman Rasti, Kamal Nasrollahi, Olga Orlova, Gert Tamberg, Thomas B. Moeslund, Gholamreza Anbarjafari:
Reducible dictionaries for single image super-resolution based on patch matching and mean shifting. J. Electronic Imaging 26(2): 23024 (2017) - [c12]Denis Bujoreanu, Pejman Rasti, David Rousseau:
On the value of graph-based segmentation for the analysis of structural networks in life sciences. EUSIPCO 2017: 2664-2668 - [c11]Christer Loob, Pejman Rasti, Iiris Lüsi, Júlio C. S. Jacques Júnior, Xavier Baró, Sergio Escalera, Tomasz Sapinski, Dorota Kaminska, Gholamreza Anbarjafari:
Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification. FG 2017: 833-838 - [c10]Pejman Rasti, Gholamreza Anbarjafari, Hasan Demirel:
Colour image watermarking based on wavelet and QR decomposition. SIU 2017: 1-4 - 2016
- [j1]Pejman Rasti, Salma Samiei, Mary Agoyi, Sergio Escalera, Gholamreza Anbarjafari:
Robust non-blind color video watermarking using QR decomposition and entropy analysis. J. Vis. Commun. Image Represent. 38: 838-847 (2016) - [c9]Pejman Rasti, Tõnis Uiboupin, Sergio Escalera, Gholamreza Anbarjafari:
Convolutional Neural Network Super Resolution for Face Recognition in Surveillance Monitoring. AMDO 2016: 175-184 - [c8]Pejman Rasti, Olga Orlova, Gert Tamberg, Cagri Ozcinar, Kamal Nasrollahi, Thomas B. Moeslund, Gholamreza Anbarjafari:
Improved interpolation kernels for super resolution algorithms. IPTA 2016: 1-6 - [c7]Pejman Rasti, Morteza Daneshmand, Fatih Alisinanoglu, Cagri Ozcinar, Gholamreza Anbarjafari:
Medical image illumination enhancement and sharpening by using stationary wavelet transform. SIU 2016: 153-156 - [c6]Tõnis Uiboupin, Pejman Rasti, Gholamreza Anbarjafari, Hasan Demirel:
Facial image super resolution using sparse representation for improving face recognition in surveillance monitoring. SIU 2016: 437-440 - [c5]Marco Bellantonio, Mohammad A. Haque, Pau Rodríguez, Kamal Nasrollahi, Taisi Telve, Sergio Escalera, Jordi Gonzàlez, Thomas B. Moeslund, Pejman Rasti, Gholamreza Anbarjafari:
Spatio-temporal Pain Recognition in CNN-Based Super-Resolved Facial Images. VAAM/FFER@ICPR 2016: 151-162 - [i1]Pejman Rasti, Hasan Demirel, Gholamreza Anbarjafari:
Image Resolution Enhancement by Using Interpolation Followed by Iterative Back Projection. CoRR abs/1601.00260 (2016) - 2015
- [c4]Kamal Nasrollahi, Sergio Escalera, Pejman Rasti, Gholamreza Anbarjafari, Xavier Baró, Hugo Jair Escalante, Thomas B. Moeslund:
Deep learning based super-resolution for improved action recognition. IPTA 2015: 67-72 - [c3]Pejman Rasti, Rudolf Kiefer, Gholamreza Anbarjafari:
Autofocus liquid lens by using sharpness measurement. SIU 2015: 608-611 - 2014
- [c2]Pejman Rasti, Hasan Demirel, Gholamreza Anbarjafari:
Improved Iterative Back Projection for video super-resolution. SIU 2014: 552-555 - 2013
- [c1]Pejman Rasti, Hasan Demirel, Gholamreza Anbarjafari:
Image resolution enhancement by using interpolation followed by iterative back projection. SIU 2013: 1-4
Coauthor Index
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last updated on 2024-05-29 20:43 CEST by the dblp team
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