ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results

Keywords

Event (particle physics), Computer science, Gesture, Artificial intelligence

References

• Learning Face Representation from ScratchYi Dong, Zhen Lei, Shengcai Liao — 2014
• ChaLearn looking at people 2015 new competitions: Age estimation and cultural event recognitionSérgio Escalera, Jordi Gonzàlez, Xavier Baró — 2015
• Very Deep Convolutional Networks for Large-Scale Image RecognitionKaren Simonyan, Andrew Zisserman — 2014
• A deep pyramid Deformable Part Model for face detectionRajeev Ranjan, Vishal M. Patel, Rama Chellappa — 2015
• Unconstrained face verification using deep CNN featuresJun-Cheng Chen, Vishal M. Patel, Rama Chellappa — 2015
• Project-Out Cascaded Regression with an application to face alignmentGeorgios Tzimiropoulos — 2015
• Action recognition with trajectory-pooled deep-convolutional descriptorsLimin Wang, Yu Qiao, Xiaoou Tang — 2015
• ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognitionXavier Baró, Jordi Gonzàlez, Junior Fabián — 2015
• Object-Scene Convolutional Neural Networks for event recognition in imagesLimin Wang, Zhe Wang, Wenbin Du — 2015
• Age and Gender Estimation of Unfiltered FacesEran Eidinger, Roee Enbar, Tal Hassner — 2014
• Learning similarity metrics for event identification in social mediaHila Becker, Mor Naaman, Luis Gravano — 2010
• Deep Convolutional Network Cascade for Facial Point DetectionYi Sun, Xiaogang Wang, Xiaoou Tang — 2013
• Iterative Nearest Neighbors for classification and dimensionality reductionRadu Timofte, Luc Van Gool — 2012
• Combining AAM coefficients with LGBP histograms in the multi-kernel SVM framework to detect facial action unitsThibaud Sénéchal, Vincent Rapp, Hanan Salam — 2011
• The FERET database and evaluation procedure for face-recognition algorithmsP. Jonathon Phillips, Harry Wechsler, Jeffery Huang — 1998
• The Pascal Visual Object Classes (VOC) ChallengeMark Everingham, Luc Van Gool, Christopher K. I. Williams — 2009
• Age estimation from face images: Human vs. machine performanceHu Han, Charles Otto, Anil K. Jain — 2013
• Toward Automatic Simulation of Aging Effects on Face ImagesAndreas Lanitis, Chris Taylor, T.F. Cootes — 2002
• Face detection, pose estimation, and landmark localization in the wildXiangxin Zhu, Deva Ramanan — 2012
• A lifespan database of adult facial stimuliMeredith Minear, Denise C. Park — 2004

Cited by

• DEX: Deep EXpectation of Apparent Age from a Single ImageRasmus Rothe, Radu Timofte, Luc Van Gool — 2015
• Deep Spatial Pyramid Ensemble for Cultural Event RecognitionXiu-Shen Wei, Bin-Bin Gao, Jianxin Wu — 2015
• Deeply Learned Rich Coding for Cross-Dataset Facial Age EstimationZhanghui Kuang, Chen Huang, Wayne Zhang — 2015
• AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age EstimationXin Liu, Shaoxin Li, Meina Kan — 2015
• Unconstrained Age Estimation with Deep Convolutional Neural NetworksRajeev Ranjan, Sabrina Zhou, Jun-Cheng Chen — 2015
• A Study on Apparent Age EstimationYu Zhu, Yan Li, Guowang Mu — 2015
• Apparent Age Estimation Using Ensemble of Deep Learning ModelsRefik Can Mallı, Mehmet Aygün, Hazım Kemal Ekenel — 2016
• ChaLearn Looking at People and Faces of the World: Face AnalysisWorkshop and Challenge 2016Sérgio Escalera, Mohammad Ali Bagheri, Michel Valstar — 2016
• ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture RecognitionJun Wan, Stan Z. Li, Yibing Zhao — 2016
• Kernel ELM and CNN Based Facial Age EstimationFurkan Gürpınar, Heysem Kaya, Hamdi Dibeklioğlu — 2016
• Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning ModelsGrigory Antipov, Moez Baccouche, Sid-Ahmed Berrani — 2016
• Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep FeaturesMichal Uřičář, Radu Timofte, Rasmus Rothe — 2016
• Deep Age Distribution Learning for Apparent Age EstimationZengwei Huo, Xu Yang, Chao Xing — 2016
• Neural Networks with Smooth Adaptive Activation Functions for RegressionLe Hou, Dimitris Samaras, Tahsin Kurç — 2016
• Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still ImagesLimin Wang, Zhe Wang, Yu Qiao — 2016
• Deep Expectation of Real and Apparent Age from a Single Image Without Facial LandmarksRasmus Rothe, Radu Timofte, Luc Van Gool — 2016
• Abundant Inverse Regression using Sufficient Reduction and its ApplicationsHyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru — 2016
• A compact deep convolutional neural network architecture for video based age and gender estimationBartłomiej Hebda, Tomasz Kryjak — 2016
• An All-In-One Convolutional Neural Network for Face AnalysisRajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo — 2016
• Deep Label Distribution Learning With Label AmbiguityBin-Bin Gao, Chao Xing, Chen-Wei Xie — 2016

Related papers

• ИСПОЛЬЗОВAНИЕ ПОТЕНЦИAЛA СОЦИAЛЬНЫХ ПAРТНЕРОВ В ПОДГОТОВКЕ БУДУЩИХ ПЕДAГОГОВБ.Б. Атaбекова — 2024
• DETERMINING QUALITY REQUIREMENTS AT THE UNIVERSITIES TO IMPROVE THE QUALITY OF EDUCATIONNor Hanim Mustafa, Dinmukhamed Kelesbayev, Zh.D. Alibekova — 2018
• Spontaneous use of gesture sequences in orangutansSebastian Tempelmann, Katja Liebal — 2012
• Towards successful user interaction with systems: focusing on user-derived gestures for smart home systems.Eunjung Choi, Sunghyuk Kwon, Donghun Lee — 2014
• Eliciting Mid-Air Gestures for Wall-Display InteractionMarkus L. Wittorf, Mikkel R. Jakobsen — 2016
• A Quantitative Study on Gestures of Young Teachers with Varied Teaching PrizesZong-yang Chen — 2009
• Dictionary of Worldwide GesturesBetty J. Bäuml, Franz H. Bäuml — 1997
• Use of gesture sequences in chimpanzeesKatja Liebal, Josep Call, Michael Tomasello — 2004