ChaLearn Looking at People Challenge 2014: Dataset and Results. - Sergio Escalera; Xavier Baró; Jordi Gonzàlez 001; Miguel Ángel Bautista 001; Meysam Madadi; Miguel Reyes; Víctor Ponce-López; Hugo Jair Escalante; Jamie Shotton; Isabelle Guyon (ECCV Workshops (1), 2014)

Multi-part body segmentation based on depth maps for soft biometry analysis. - Meysam Madadi; Sergio Escalera; Jordi Gonzàlez 001; F. Xavier Roca; Felipe Lumbreras (Pattern Recognit. Lett., 2015)

Occlusion Aware Hand Pose Recovery from Sequences of Depth Images. - Meysam Madadi; Sergio Escalera; Alex Carruesco; Carlos Andújar; Xavier Baró; Jordi Gonzàlez 001 (FG, 2017)

Visualizing Apparent Personality Analysis with Deep Residual Networks. - Yagmur Güçlütürk; Umut Güçlü; Marc Pérez; Hugo Jair Escalante; Xavier Baró; Carlos Andújar; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Sergio Escalera; Marcel A. J. van Gerven; Rob van Lier (ICCV Workshops, 2017)

Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges. - Jun Wan 001; Sergio Escalera; Gholamreza Anbarjafari; Hugo Jair Escalante; Xavier Baró; Isabelle Guyon; Meysam Madadi; Juri Allik; Jelena Gorbova; Chi Lin 002; Yiliang Xie (ICCV Workshops, 2017)

Design of an explainable machine learning challenge for video interviews. - Hugo Jair Escalante; Isabelle Guyon; Sergio Escalera; Júlio C. S. Jacques Júnior; Meysam Madadi; Xavier Baró; Stéphane Ayache; Evelyne Viegas; Yagmur Güçlütürk; Umut Güçlü; Marcel A. J. van Gerven; Rob van Lier (IJCNN, 2017)

End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks. - Umut Güçlü; Yagmur Güçlütürk; Meysam Madadi; Sergio Escalera; Xavier Baró; Jordi Gonzàlez 001; Rob van Lier; Marcel A. J. van Gerven (CoRR, 2017)

End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth data. - Meysam Madadi; Sergio Escalera; Xavier Baró; Jordi Gonzàlez 001 (CoRR, 2017)

3D Hand Pose Estimation: From Current Achievements to Future Goals. - Shanxin Yuan; Guillermo Garcia-Hernando; Björn Stenger; Gyeongsik Moon; Ju Yong Chang; Kyoung Mu Lee; Pavlo Molchanov 001; Jan Kautz; Sina Honari; Liuhao Ge; Junsong Yuan 001; Xinghao Chen 001; et al. (CoRR, 2017)

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals. - Shanxin Yuan; Guillermo Garcia-Hernando; Björn Stenger; Gyeongsik Moon; Ju Yong Chang; Kyoung Mu Lee; Pavlo Molchanov 001; Jan Kautz; Sina Honari; Liuhao Ge; Junsong Yuan 001; Xinghao Chen 001; et al. (CVPR, 2018)

Deep Structure Inference Network for Facial Action Unit Recognition. - Ciprian A. Corneanu; Meysam Madadi; Sergio Escalera (ECCV (12), 2018)

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos. - Hugo Jair Escalante; Heysem Kaya; Albert Ali Salah; Sergio Escalera; Yagmur Güçlütürk; Umut Güçlü; Xavier Baró; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Stéphane Ayache; Evelyne Viegas; et al. (CoRR, 2018)

From 2D to 3D Geodesic-based Garment Matching. - Meysam Madadi; Egils Avots; Sergio Escalera; Jordi Gonzàlez 001; Xavier Baró; Gholamreza Anbarjafari (CoRR, 2018)

SMPLR: Deep SMPL reverse for 3D human pose and shape recovery. - Meysam Madadi; Hugo Bertiche; Sergio Escalera (CoRR, 2018)

Top-down model fitting for hand pose recovery in sequences of depth images. - Meysam Madadi; Sergio Escalera; Alex Carruesco; Carlos Andújar; Xavier Baró; Jordi Gonzàlez 001 (Image Vis. Comput., 2018)

What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? - Ciprian A. Corneanu; Meysam Madadi; Sergio Escalera; Aleix M. Martínez (CVPR, 2019)

Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation. - Daniel Sánchez 005; Marc Oliu; Meysam Madadi; Xavier Baró; Sergio Escalera (FG, 2019)

Towards Automated Deep Learning: Analysis of the AutoDL challenge series 2019. - Zhengying Liu; Zhen Xu 007; Shangeth Rajaa; Meysam Madadi; Júlio C. S. Jacques Júnior; Sergio Escalera; Adrien Pavao; Sébastien Treguer; Wei-Wei Tu; Isabelle Guyon (NeurIPS (Competition and Demos), 2019)

From 2D to 3D geodesic-based garment matching. - Egils Avots; Meysam Madadi; Sergio Escalera; Jordi Gonzàlez 001; Xavier Baró; Paul Pällin; Gholamreza Anbarjafari (Multim. Tools Appl., 2019)

CLOTH3D: Clothed 3D Humans. - Hugo Bertiche; Meysam Madadi; Sergio Escalera (ECCV (20), 2020)

Explainable Early Stopping for Action Unit Recognition. - Ciprian A. Corneanu; Meysam Madadi; Sergio Escalera; Aleix M. Martínez (FG, 2020)

Generative Video Face Reenactment by AUs and Gaze Regularization. - Josep Famadas; Meysam Madadi; Cristina Palmero; Sergio Escalera (FG, 2020)

Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark. - Meysam Madadi; Hugo Bertiche; Wafa Bouzouita; Isabelle Guyon; Sergio Escalera (NeurIPS (Competition and Demos), 2020)

Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review. - Ajian Liu 001; Xuan Li; Jun Wan 001; Sergio Escalera; Hugo Jair Escalante; Meysam Madadi; Yi Jin 001; Zhuoyuan Wu; Xiaogang Yu; Zichang Tan; Qi Yuan; Ruikun Yang; et al. (CoRR, 2020)

Computing the Testing Error without a Testing Set. - Ciprian A. Corneanu; Meysam Madadi; Sergio Escalera; Aleix M. Martínez (CoRR, 2020)

DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation. - Hugo Bertiche; Meysam Madadi; Sergio Escalera (CoRR, 2020)

Physically Based Neural Simulator for Garment Animation. - Hugo Bertiche; Meysam Madadi; Sergio Escalera (CoRR, 2020)

Guest Editorial: Image and Video Inpainting and Denoising. - Sergio Escalera; Hugo Jair Escalante; Xavier Baró; Isabelle Guyon; Meysam Madadi; Jun Wan 001; Stéphane Ayache; Yagmur Güçlütürk; Umut Güçlü (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery. - Meysam Madadi; Hugo Bertiche; Sergio Escalera (Pattern Recognit., 2020)

Towards automated computer vision: analysis of the AutoCV challenges 2019. - Zhengying Liu; Zhen Xu 007; Sergio Escalera; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Adrien Pavao; Sébastien Treguer; Wei-Wei Tu (Pattern Recognit. Lett., 2020)

Deep Parametric Surfaces for 3D Outfit Reconstruction from Single View Image. - Hugo Bertiche; Meysam Madadi; Sergio Escalera (FG, 2021)

UV-based reconstruction of 3D garments from a single RGB image. - Albert Rial-Farràs; Meysam Madadi; Sergio Escalera (FG, 2021)

DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation. - Hugo Bertiche; Meysam Madadi; Emilio Tylson; Sergio Escalera (ICCV, 2021)

ChaLearn Looking at People: Inpainting and Denoising challenges. - Sergio Escalera; Marti Soler; Stéphane Ayache; Umut Güçlü; Jun Wan 001; Meysam Madadi; Xavier Baró; Hugo Jair Escalante; Isabelle Guyon (CoRR, 2021)

Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations. - Hugo Bertiche; Meysam Madadi; Sergio Escalera (CoRR, 2021)

Cross-ethnicity face anti-spoofing recognition challenge: A review. - Ajian Liu 001; Xuan Li; Jun Wan 001; Yanyan Liang 001; Sergio Escalera; Hugo Jair Escalante; Meysam Madadi; Yi Jin 001; Zhuoyuan Wu; Xiaogang Yu; Zichang Tan; Qi Yuan; et al. (IET Biom., 2021)

Deep Unsupervised 3D Human Body Reconstruction from a Sparse set of Landmarks. - Meysam Madadi; Hugo Bertiche; Sergio Escalera (Int. J. Comput. Vis., 2021)

Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019. - Zhengying Liu; Adrien Pavao; Zhen Xu 007; Sergio Escalera; Fabio Ferreira; Isabelle Guyon; Sirui Hong; Frank Hutter; Rongrong Ji; Júlio C. S. Jacques Júnior; Ge Li; Marius Lindauer; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

PBNS: physically based neural simulation for unsupervised garment pose space deformation. - Hugo Bertiche; Meysam Madadi; Sergio Escalera (ACM Trans. Graph., 2021)

Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder. - Joakim Bruslund Haurum; Meysam Madadi; Sergio Escalera; Thomas B. Moeslund (WACV, 2022)

Towards explaining the generalization gap in neural networks using topological data analysis. - Rubén Ballester; Xavier Arnal Clemente; Carles Casacuberta; Meysam Madadi; Ciprian A. Corneanu; Sergio Escalera (CoRR, 2022)

End-to-end global to local convolutional neural network learning for hand pose recovery in depth data. - Meysam Madadi; Sergio Escalera; Xavier Baró; Jordi Gonzàlez 001 (IET Comput. Vis., 2022)

Modeling, Recognizing, and Explaining Apparent Personality From Videos. - Hugo Jair Escalante; Heysem Kaya; Albert Ali Salah; Sergio Escalera; Yagmur Güçlütürk; Umut Güçlü; Xavier Baró; Isabelle Guyon; Júlio C. S. Jacques Júnior; Meysam Madadi; Stéphane Ayache; Evelyne Viegas; et al. (IEEE Trans. Affect. Comput., 2022)

Neural Cloth Simulation. - Hugo Bertiche; Meysam Madadi; Sergio Escalera (ACM Trans. Graph., 2022)

Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images. - Hugo Bertiche; Niloy J. Mitra; Kuldeep Kulkarni; Chun-Hao Paul Huang; Tuanfeng Y. Wang; Meysam Madadi; Sergio Escalera; Duygu Ceylan (CVPR, 2023)

Video-based Skill Assessment for Golf: Estimating Golf Handicap. - Christian Keilstrup Ingwersen; Artur Xarles; Albert Clapés; Meysam Madadi; Janus Nørtoft Jensen; Morten Rieger Hannemose; Anders Bjorholm Dahl; Sergio Escalera (MMSports@MM, 2023)

Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production. - Alireza Shafizadeh; Hossein Shahbeik; Shahin Rafiee; Aysooda Moradi; Mohammadreza Shahbaz; Meysam Madadi; Cheng Li; Wanxi Peng; Meisam Tabatabaei; Mortaza Aghbashlo (CoRR, 2023)

A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping. - Hunor Laczkó; Meysam Madadi; Sergio Escalera; Jordi Gonzàlez 001 (WACV, 2024)

Predicting the generalization gap in neural networks using topological data analysis. - Rubén Ballester; Xavier Arnal Clemente; Carles Casacuberta; Meysam Madadi; Ciprian A. Corneanu; Sergio Escalera (Neurocomputing, 2024)

Multi-modal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds. - Simon Buus Jensen; Stefan Oehmcke; Andreas Møgelmose; Meysam Madadi; Christian Igel; Sergio Escalera; Thomas B. Moeslund (CoRR, 2025)