no code implementations • 15 Apr 2023 • Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei
Based on this dataset and protocol-$3$ for evaluating the robustness of the algorithm under quality changes, we organized a face presentation attack detection challenge in surveillance scenarios.
1 code implementation • 12 Apr 2023 • Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng
Leveraging the WFAS dataset and Protocol 1 (Known-Type), we host the Wild Face Anti-Spoofing Challenge at the CVPR2023 workshop.
no code implementations • CVPR 2023 • Hugo Bertiche, Niloy J. Mitra, Kuldeep Kulkarni, Chun-Hao Paul Huang, Tuanfeng Y. Wang, Meysam Madadi, Sergio Escalera, Duygu Ceylan
We investigate the problem in the context of dressed humans under the wind.
3 code implementations • NeurIPS 2022 • Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
We introduce Meta-Album, an image classification meta-dataset designed to facilitate few-shot learning, transfer learning, meta-learning, among other tasks.
no code implementations • 3 Jan 2023 • Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei
In order to promote relevant research and fill this gap in the community, we collect a large-scale Surveillance High-Fidelity Mask (SuHiFiMask) dataset captured under 40 surveillance scenes, which has 101 subjects from different age groups with 232 3D attacks (high-fidelity masks), 200 2D attacks (posters, portraits, and screens), and 2 adversarial attacks.
1 code implementation • 13 Dec 2022 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
Here, we propose the first methodology able to learn realistic cloth dynamics unsupervisedly, and henceforth, a general formulation for neural cloth simulation.
1 code implementation • 25 Nov 2022 • German Barquero, Sergio Escalera, Cristina Palmero
To address these issues, we present BeLFusion, a model that, for the first time, leverages latent diffusion models in HMP to sample from a latent space where behavior is disentangled from pose and motion.
Ranked #1 on Human Pose Forecasting on AMASS (ADE metric)
7 code implementations • 5 Oct 2022 • Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc Cuong Pham, Ralph Ewerth, Ran Song, RenGang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El-Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, YaQian Zhao, Yi Yu, YingYing Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li
The SoccerNet 2022 challenges were the second annual video understanding challenges organized by the SoccerNet team.
no code implementations • 31 Aug 2022 • Dustin Carrión-Ojeda, Hong Chen, Adrian El Baz, Sergio Escalera, Chaoyu Guan, Isabelle Guyon, Ihsan Ullah, Xin Wang, Wenwu Zhu
We present the design and baseline results for a new challenge in the ChaLearn meta-learning series, accepted at NeurIPS'22, focusing on "cross-domain" meta-learning.
no code implementations • 15 Jul 2022 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
Recently, one model has been presented to deal with the challenge of the boundary detection of isolated gestures in a continuous gesture video .
no code implementations • 22 Jun 2022 • Alex Falcon, Giuseppe Serra, Sergio Escalera, Oswald Lanz
This report presents the technical details of our submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022.
Ranked #1 on Multi-Instance Retrieval on EPIC-KITCHENS-100
1 code implementation • 27 Apr 2022 • Alex Falcon, Swathikiran Sudhakaran, Giuseppe Serra, Sergio Escalera, Oswald Lanz
We show that even if we carefully tuned the fixed margin, our technique (which does not have the margin as a hyper-parameter) would still achieve better performance.
Ranked #4 on Multi-Instance Retrieval on EPIC-KITCHENS-100
no code implementations • 2 Apr 2022 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
Results of the continuous sign videos confirm the efficiency of the proposed model to deal with isolated sign boundaries detection.
no code implementations • 23 Mar 2022 • Rubén Ballester, Xavier Arnal Clemente, Carles Casacuberta, Meysam Madadi, Ciprian A. Corneanu, Sergio Escalera
Understanding how neural networks generalize on unseen data is crucial for designing more robust and reliable models.
1 code implementation • 21 Mar 2022 • Arya Farkhondeh, Cristina Palmero, Simone Scardapane, Sergio Escalera
Recent joint embedding-based self-supervised methods have surpassed standard supervised approaches on various image recognition tasks such as image classification.
1 code implementation • 16 Mar 2022 • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
3D kernel factorization approaches have been proposed to reduce the complexity of 3D CNNs.
Ranked #12 on Action Recognition on EPIC-KITCHENS-100 (using extra training data)
1 code implementation • 7 Mar 2022 • German Barquero, Johnny Núñez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
In this work, we present the first systematic comparison of state-of-the-art approaches for behavior forecasting.
no code implementations • 4 Mar 2022 • German Barquero, Johnny Núñez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero
Non-verbal social human behavior forecasting has increasingly attracted the interest of the research community in recent years.
no code implementations • 16 Jan 2022 • Javier Selva, Anders S. Johansen, Sergio Escalera, Kamal Nasrollahi, Thomas B. Moeslund, Albert Clapés
Transformer models have shown great success handling long-range interactions, making them a promising tool for modeling video.
no code implementations • 11 Jan 2022 • Zhengying Liu, Adrien Pavao, Zhen Xu, Sergio Escalera, Fabio Ferreira, Isabelle Guyon, Sirui Hong, Frank Hutter, Rongrong Ji, Julio C. S. Jacques Junior, Ge Li, Marius Lindauer, Zhipeng Luo, Meysam Madadi, Thomas Nierhoff, Kangning Niu, Chunguang Pan, Danny Stoll, Sebastien Treguer, Jin Wang, Peng Wang, Chenglin Wu, Youcheng Xiong, Arbe r Zela, Yang Zhang
Code submissions were executed on hidden tasks, with limited time and computational resources, pushing solutions that get results quickly.
no code implementations • 10 Jan 2022 • Lei LI, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martin-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu7, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Elodie Puybareau, Ilkay Oksuz, Stephanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura M. Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
Assessment of myocardial viability is essential in diagnosis and treatment management of patients suffering from myocardial infarction, and classification of pathology on myocardium is the key to this assessment.
3 code implementations • 8 Jan 2022 • Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeon Gyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sebastien Ourselin, Jonathan Shapey, Tom Vercauteren
The aim was to automatically perform unilateral VS and bilateral cochlea segmentation on hrT2 as provided in the testing set (N=137).
no code implementations • 5 Jan 2022 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Vassilis Athitsos, Mohammad Sabokrou
To make an easy and mutual communication between the hearing-impaired and the hearing communities, building a robust system capable of translating the spoken language into sign language and vice versa is fundamental.
Cultural Vocal Bursts Intensity Prediction Sign Language Production +2
1 code implementation • 15 Nov 2021 • Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund
In order to efficiently manage the sewerage infrastructure, automated sewer inspection has to be utilized.
2 code implementations • 12 Oct 2021 • Zhen Xu, Sergio Escalera, Isabelle Guyon, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao
A public instance of Codabench (https://www. codabench. org/) is open to everyone, free of charge, and allows benchmark organizers to compare fairly submissions, under the same setting (software, hardware, data, algorithms), with custom protocols and data formats.
no code implementations • 6 Oct 2021 • Swathikiran Sudhakaran, Adrian Bulat, Juan-Manuel Perez-Rua, Alex Falcon, Sergio Escalera, Oswald Lanz, Brais Martinez, Georgios Tzimiropoulos
This report presents the technical details of our submission to the EPIC-Kitchens-100 Action Recognition Challenge 2021.
1 code implementation • 3 Oct 2021 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
Nonetheless, their memory footprint also grows rapidly and their parallelization in a GPU is problematic due to their branching nature.
no code implementations • 20 Sep 2021 • David Curto, Albert Clapés, Javier Selva, Sorina Smeureanu, Julio C. S. Jacques Junior, David Gallardo-Pujol, Georgina Guilera, David Leiva, Thomas B. Moeslund, Sergio Escalera, Cristina Palmero
Personality computing has become an emerging topic in computer vision, due to the wide range of applications it can be used for.
no code implementations • 2 Sep 2021 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Zero-Shot Learning (ZSL) has rapidly advanced in recent years.
no code implementations • 23 Aug 2021 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera
To benefit from the vision Transformer capabilities, we use two vision Transformer models, for human detection and visual features representation.
no code implementations • 16 Aug 2021 • Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Zijian Kong, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo
The threat of 3D masks to face recognition systems is increasingly serious and has been widely concerned by researchers.
no code implementations • 24 Jun 2021 • Sergio Escalera, Marti Soler, Stephane Ayache, Umut Guclu, Jun Wan, Meysam Madadi, Xavier Baro, Hugo Jair Escalante, Isabelle Guyon
Dealing with incomplete information is a well studied problem in the context of machine learning and computational intelligence.
no code implementations • 23 Jun 2021 • Meysam Madadi, Hugo Bertiche, Sergio Escalera
In this paper we propose the first deep unsupervised approach in human body reconstruction to estimate body surface from a sparse set of landmarks, so called DeepMurf.
no code implementations • 11 May 2021 • Ozge Mercanoglu Sincan, Julio C. S. Jacques Junior, Sergio Escalera, Hacer Yalim Keles
However, several open challenges still need to be solved to allow SLR to be useful in practice.
1 code implementation • 30 Apr 2021 • Penny Tarling, Mauricio Cantor, Albert Clapés, Sergio Escalera
From experiments on both contrasting datasets, we demonstrate our network outperforms the few other deep learning models implemented for solving this task.
no code implementations • 13 Apr 2021 • Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang
To bridge the gap to real-world applications, we introduce a largescale High-Fidelity Mask dataset, namely CASIA-SURF HiFiMask (briefly HiFiMask).
1 code implementation • 29 Mar 2021 • Razieh Rastgoo, Kourosh Kiani, Sergio Escalera, Mohammad Sabokrou
Sign Language is the dominant yet non-primary form of communication language used in the deaf and hearing-impaired community.
no code implementations • 16 Feb 2021 • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
We present EgoACO, a deep neural architecture for video action recognition that learns to pool action-context-object descriptors from frame level features by leveraging the verb-noun structure of action labels in egocentric video datasets.
no code implementations • 28 Dec 2020 • Cristina Palmero, Javier Selva, Sorina Smeureanu, Julio C. S. Jacques Junior, Albert Clapés, Alexa Moseguí, Zejian Zhang, David Gallardo, Georgina Guilera, David Leiva, Sergio Escalera
This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions, where interlocutors perform competitive and collaborative tasks with different behavior elicitation and cognitive workload.
1 code implementation • 21 Dec 2020 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
While deep-based approaches in the domain are becoming a trend, these are data-hungry models.
no code implementations • 30 Nov 2020 • Julio C. S. Jacques Junior, Agata Lapedriza, Cristina Palmero, Xavier Baró, Sergio Escalera
This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing.
no code implementations • 16 Sep 2020 • Tomáš Sixta, Julio C. S. Jacques Junior, Pau Buch-Cardona, Neil M. Robertson, Eduard Vazquez, Sergio Escalera
This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Challenge and provides a description of the top-winning solutions and analysis of the results.
1 code implementation • ICCV 2021 • Hugo Bertiche, Meysam Madadi, Emilio Tylson, Sergio Escalera
We present a novel solution to the garment animation problem through deep learning.
no code implementations • 24 Jun 2020 • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
In this report we describe the technical details of our submission to the EPIC-Kitchens Action Recognition 2020 Challenge.
1 code implementation • 1 May 2020 • Ciprian Corneanu, Meysam Madadi, Sergio Escalera, Aleix Martinez
Here, we derive an algorithm to estimate the performance gap between training and testing that does not require any testing dataset.
no code implementations • 23 Apr 2020 • Ajian Liu, Xuan Li, Jun Wan, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li
Although ethnic bias has been verified to severely affect the performance of face recognition systems, it still remains an open research problem in face anti-spoofing.
no code implementations • 11 Mar 2020 • Ajian Li, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
Ethnic bias has proven to negatively affect the performance of face recognition systems, and it remains an open research problem in face anti-spoofing.
1 code implementation • 10 Mar 2020 • Maryam Asadi-Aghbolaghi, Reza Azad, Mahmood Fathy, Sergio Escalera
These blocks adaptively recalibrate the channel-wise feature responses by utilizing a self-gating mechanism of the global information embedding of the feature maps.
Ranked #6 on Lesion Segmentation on ISIC 2018
no code implementations • 5 Dec 2019 • Ajian Liu, Zichang Tan, Xuan Li, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li
Regardless of the usage of deep learning and handcrafted methods, the dynamic information from videos and the effect of cross-ethnicity are rarely considered in face anti-spoofing.
1 code implementation • ECCV 2020 • Hugo Bertiche, Meysam Madadi, Sergio Escalera
We provide the dataset with a generative model for cloth generation.
2 code implementations • CVPR 2020 • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
Deep 3D CNNs for video action recognition are designed to learn powerful representations in the joint spatio-temporal feature space.
Ranked #21 on Action Recognition on Something-Something V1 (using extra training data)
no code implementations • 12 Sep 2019 • Ricardo Darío Pérez Principi, Cristina Palmero, Julio C. S. Jacques Junior, Sergio Escalera
Furthermore, given the interpretability nature of our network design, we provide an incremental analysis on the impact of each possible source of bias on final network predictions.
4 code implementations • In Proceedings of the IEEE/CVF international conference on computer vision workshops 2019 • Reza Azad, Maryam Asadi-Aghbolaghi, Mahmood Fathy, Sergio Escalera
To strengthen feature propagation and encourage feature reuse, we use densely connected convolutions in the last convolutional layer of the encoding path.
Ranked #1 on Lung Nodule Segmentation on Lung Nodule
no code implementations • 28 Aug 2019 • Shifeng Zhang, Ajian Liu, Jun Wan, Yanyan Liang, Guogong Guo, Sergio Escalera, Hugo Jair Escalante, Stan Z. Li
To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and modalities.
no code implementations • 29 Jul 2019 • Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and International Conference on Computer Vision (ICCV) 2017, attracting more than $200$ teams round the world.
no code implementations • 21 Jun 2019 • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
In this report we describe the technical details of our submission to the EPIC-Kitchens 2019 action recognition challenge.
no code implementations • 29 May 2019 • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
Most action recognition methods base on a) a late aggregation of frame level CNN features using average pooling, max pooling, or RNN, among others, or b) spatio-temporal aggregation via 3D convolutions.
Ranked #49 on Action Recognition on HMDB-51 (using extra training data)
no code implementations • Springer Cham 2019 • Isabelle Guyon, Lisheng Sun-Hosoya, Marc Boullé, Hugo Jair Escalante, Sergio Escalera, Zhengying Liu, Damir Jajetic, Bisakha Ray, Mehreen Saeed, Michèle Sebag, Alexander Statnikov, WeiWei Tu, Evelyne Viegas
The solutions of the winners are systematically benchmarked over all datasets of all rounds and compared with canonical machine learning algorithms available in scikit-learn.
Ranked #1 on AutoML on Chalearn-AutoML-1
no code implementations • 8 May 2019 • Daniel Sánchez, Marc Oliu, Meysam Madadi, Xavier Baró, Sergio Escalera
In this work, we analyze four related human analysis tasks in still images in a multi-task scenario by leveraging such datasets.
2 code implementations • 20 Feb 2019 • Julio C. S. Jacques Junior, Cagri Ozcinar, Marina Marjanovic, Xavier Baró, Gholamreza Anbarjafari, Sergio Escalera
Our model outperformed a state-of-the-art architecture proposed to separately address apparent and real age regression.
no code implementations • 27 Dec 2018 • Meysam Madadi, Hugo Bertiche, Sergio Escalera
By implementing SMPLR as an encoder-decoder we avoid the need of complex constraints on pose and shape.
2 code implementations • CVPR 2019 • Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li
To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and visual modalities.
1 code implementation • CVPR 2019 • Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
Egocentric activity recognition is one of the most challenging tasks in video analysis.
Ranked #4 on Egocentric Activity Recognition on EGTEA
1 code implementation • 21 Sep 2018 • Meysam Madadi, Egils Avots, Sergio Escalera, Jordi Gonzalez, Xavier Baro, Gholamreza Anbarjafari
A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS).
no code implementations • 28 Jun 2018 • Pau Rodríguez, Miguel A. Bautista, Jordi Gonzàlez, Sergio Escalera
Following this observation, we embed the targets into a low-dimensional space, drastically improving convergence speed while preserving accuracy.
2 code implementations • 8 May 2018 • Cristina Palmero, Javier Selva, Mohammad Ali Bagheri, Sergio Escalera
Gaze behavior is an important non-verbal cue in social signal processing and human-computer interaction.
Ranked #1 on Gaze Estimation on EYEDIAP (screen target)
no code implementations • 21 Apr 2018 • Julio C. S. Jacques Junior, Yağmur Güçlütürk, Marc Pérez, Umut Güçlü, Carlos Andujar, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Marcel A. J. van Gerven, Rob Van Lier, Sergio Escalera
However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data.
no code implementations • 12 Apr 2018 • Julio C. S. Jacques Junior, Xavier Baró, Sergio Escalera
In this work, we propose to exploit a post-ranking approach and combine different feature representations through ranking aggregation.
no code implementations • ECCV 2018 • Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera
In recent years, most efforts in automatic AU recognition have been dedicated to learning combinations of local features and to exploiting correlations between Action Units.
no code implementations • 2 Feb 2018 • Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yagmur Gucluturk, Umut Guclu, Xavier Baro, Isabelle Guyon, Julio Jacques Junior, Meysam Madadi, Stephane Ayache, Evelyne Viegas, Furkan Gurpinar, Achmadnoer Sukma Wicaksana, Cynthia C. S. Liem, Marcel A. J. van Gerven, Rob van Lier
Explainability and interpretability are two critical aspects of decision support systems.
1 code implementation • 23 Jan 2018 • Fatemeh Noroozi, Ciprian Adrian Corneanu, Dorota Kamińska, Tomasz Sapiński, Sergio Escalera, Gholamreza Anbarjafari
Automatic emotion recognition has become a trending research topic in the past decade.
Cultural Vocal Bursts Intensity Prediction Emotion Recognition +4
2 code implementations • CVPR 2018 • Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, Tae-Kyun Kim
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Ranked #4 on Hand Pose Estimation on HANDS 2017
1 code implementation • ECCV 2018 • Marc Oliu, Javier Selva, Sergio Escalera
Future video prediction is an ill-posed Computer Vision problem that recently received much attention.
Ranked #1 on Video Prediction on KTH (Cond metric)
no code implementations • 31 Oct 2017 • Pichao Wang, Wanqing Li, Philip Ogunbona, Jun Wan, Sergio Escalera
Specifically, deep learning methods based on the CNN and RNN architectures have been adopted for motion recognition using RGB-D data.
no code implementations • 13 Jul 2017 • Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Ofodile, Sergio Escalera, Xavier Baro, Sylwia Hyniewska, Juri Allik, Gholamreza Anbarjafari
Performance of the proposed model shows that on average it is easier to distinguish among genuine facial expressions of emotion than among unfelt facial expressions of emotion and that certain emotion pairs such as contempt and disgust are more difficult to distinguish than the rest.
no code implementations • 26 May 2017 • Meysam Madadi, Sergio Escalera, Xavier Baro, Jordi Gonzalez
Despite recent advances in 3D pose estimation of human hands, especially thanks to the advent of CNNs and depth cameras, this task is still far from being solved.
no code implementations • 15 May 2017 • Andrei Polzounov, Artsiom Ablavatski, Sergio Escalera, Shijian Lu, Jianfei Cai
In recent years, text recognition has achieved remarkable success in recognizing scanned document text.
no code implementations • 9 Mar 2017 • Umut Güçlü, Yağmur Güçlütürk, Meysam Madadi, Sergio Escalera, Xavier Baró, Jordi González, Rob Van Lier, Marcel A. J. van Gerven
Recent years have seen a sharp increase in the number of related yet distinct advances in semantic segmentation.
no code implementations • 10 Jan 2017 • Sergio Escalera, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon
This paper reviews associated events, and introduces the ChaLearn LAP platform where public resources (including code, data and preprints of papers) related to the organized events are available.
no code implementations • 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2016 • Sergio Escalera, Mercedes Torres Torres, Brais Martínez, Xavier Baró, Hugo Jair Escalante, Isabelle Guyon, Georgios Tzimiropoulos, Ciprian Corneanu, Marc Oliu, Mohammad Ali Bagheri, Michel Valstar
A custom-build application was used to collect and label data about the apparent age of people (as opposed to the real age).
Ranked #2 on Gender Prediction on FotW Gender
no code implementations • 10 Jun 2016 • Ciprian Corneanu, Marc Oliu, Jeffrey F. Cohn, Sergio Escalera
Facial expressions are an important way through which humans interact socially.
1 code implementation • IEEE Winter Conference on Applications of Computer Vision (WACV) 2016 • Mohammad Ali Bagheri, Qigang Gao, Sergio Escalera
Bagheri, Q. Gao, and S. Escalera, "Support Vector Machines with Time Series Distance Kernels for Action Classification", in Proc.
no code implementations • 27 Feb 2015 • Miguel Angel Bautista, Oriol Pujol, Fernando de la Torre, Sergio Escalera
To address these limitations this paper proposes an Error-Correcting Factorization (ECF) method, our contribution is three fold: (I) We propose a novel representation of the error-correction capability, called the design matrix, that enables us to build an ECOC on the basis of allocating correction to pairs of classes.
no code implementations • 25 Nov 2014 • Víctor Ponce-López, Sergio Escalera, Marc Pérez, Oriol Janés, Xavier Baró
In this paper we present a non-invasive ambient intelligence framework for the semi-automatic analysis of non-verbal communication applied to the restorative justice field.
no code implementations • 16 Oct 2014 • Miguel Ángel Bautista, Antonio Hernández-Vela, Sergio Escalera, Laura Igual, Oriol Pujol, Josep Moya, Verónica Violant, María Teresa Anguera
We propose an extension of DTW using one-class classifiers in order to be able to encode the variability of a gesture category, and thus, perform an alignment between a gesture sample and a gesture class.