Patricia LADRET
Maître de conférences UGA
Equipe Apprentissage, Classification, Traitement d'Images et de Vidéos
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : patricia.ladret@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1143
Tél.33 (0)4 76 82 63 12
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

Study of naturalness in tone-mapped images

Quyet Tien Le, Patricia Ladret, Huu-Tuan Nguyen, Alice Caplier. Study of naturalness in tone-mapped images. Computer Vision and Image Understanding, Elsevier, 2020, 196, pp.102971. ⟨ 10.1016/j.cviu.2020.102971 ⟩. ⟨ hal-02568771 ⟩

Linear classification of chairlift images for presence analysis

Julien Muzeau, Patricia Ladret, Pascal Bertolino. Linear classification of chairlift images for presence analysis. QCAV 2019 - Fifteenth International Conference on Quality Control by Artificial Vision, May 2019, Mulhouse, France. pp.55, ⟨ 10.1117/12.2521686 ⟩. ⟨ hal-01980423v2 ⟩

Large Field/Close-Up Image Classification: From Simple to Very Complex Features

Quyet Tien Le, Patricia Ladret, Huu-Tuan Nguyen, Alice Caplier. Large Field/Close-Up Image Classification: From Simple to Very Complex Features. Mario Vento; Gennaro Percannella. Computer Analysis of Images and Patterns, 11679, Springer, pp.532-543, 2019, Lecture Notes in Computer Science, 978-3-030-29890-6. ⟨ 10.1007/978-3-030-29891-3_47 ⟩. ⟨ hal-02368500 ⟩

Fully automated facial picture evaluation using high level attributes

Arnaud Lienhard, Alice Caplier, Patricia Ladret. Fully automated facial picture evaluation using high level attributes. 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) , May 2015, Ljubjana, Slovenia. ⟨ 10.1109/FG.2015.7163114 ⟩. ⟨ hal-01198699 ⟩

Low Level Features for Quality Assessment of Facial Images

Arnaud Lienhard, Patricia Ladret, Alice Caplier. Low Level Features for Quality Assessment of Facial Images. 10th International Conference on Computer Vision Theory and Applications (VISAPP 2015), Mar 2015, Berlin, Germany. pp.545-552. ⟨ hal-01133674 ⟩

How to predict the global instantaneous feeling induced by a facial picture?

Arnaud Lienhard, Patricia Ladret, Alice Caplier. How to predict the global instantaneous feeling induced by a facial picture?. Signal Processing: Image Communication, Elsevier, 2015, 39 (part C), pp.473-486. ⟨ 10.1016/j.image.2015.04.002 ⟩. ⟨ hal-01198718 ⟩

Photo Rating of Facial Pictures based on Image Segmentation

Arnaud Lienhard, Marion Reinhard, Alice Caplier, Patricia Ladret. Photo Rating of Facial Pictures based on Image Segmentation. VISAPP 2014 - 9th International Conference on Computer Vision Theory and Applications, Jan 2014, Lisbonne, Portugal. pp.329-336. ⟨ hal-00925436 ⟩

The influence of the visualization task on the Simulator Sickness symptoms - a comparative SSQ study on 3DTV and 3D immersive glasses

Raluca Vlad, Olha Nahorna, Patricia Ladret, Anne Guérin-Dugué. The influence of the visualization task on the Simulator Sickness symptoms - a comparative SSQ study on 3DTV and 3D immersive glasses. 3DTV-Con: Vision Beyond Depth, Oct 2013, Aberdeen, United Kingdom. p. 1-4, ⟨ 10.1109/3DTV.2013.6676647 ⟩. ⟨ hal-00925274 ⟩

Three factors that influence the overall quality of the stereoscopic 3D content: image quality, comfort, and realism

Raluca Vlad, Patricia Ladret, Anne Guérin-Dugué. Three factors that influence the overall quality of the stereoscopic 3D content: image quality, comfort, and realism. IS&T/SPIE Electronic Imaging, Feb 2013, Burlingame, CA, United States. pp.865309, ⟨ 10.1117/12.2004132 ⟩. ⟨ hal-00796480 ⟩

Comfort and realism - key factors of the overall quality of stereoscopic 3D content (the results of a subjective experiment)

Raluca Vlad, Anne Guérin-Dugué, Patricia Ladret. Comfort and realism - key factors of the overall quality of stereoscopic 3D content (the results of a subjective experiment). European Conference on Visual Preception (ECVP 2012), Sep 2012, Alghero, Italy. pp.n/c. ⟨ hal-00926085 ⟩

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal