Multi-source Deep Learning for Human Pose Estimation

Keywords

Benchmark (surveying), Computer science, Artificial intelligence, Pose, Representation (politics)

References

• Multimodal learning with deep Boltzmann machinesNitish Srivastava, Ruslan Salakhutdinov — 2012
• Pattern Recognition and Machine LearningChris Bishop — 2006
• Articulated Pose Estimation Using Discriminative Armlet ClassifiersGeorgia Gkioxari, Pablo Arbeláez, Lubomir Bourdev — 2013
• Deep Convolutional Network Cascade for Facial Point DetectionYi Sun, Xiaogang Wang, Xiaoou Tang — 2013
• Hierarchical face parsing via deep learningPing Luo, Xiaogang Wang, Xiaoou Tang — 2012
• Multimodal semi-supervised learning for image classificationMatthieu Guillaumin, Jakob Verbeek, Cordelia Schmid — 2010
• DeepReID: Deep Filter Pairing Neural Network for Person Re-identificationWei Li, Rui Zhao, Tong Xiao — 2014
• A discriminative deep model for pedestrian detection with occlusion handlingWanli Ouyang, Xiaogang Wang — 2012
• Articulated part-based model for joint object detection and pose estimationMin Sun, Silvio Savarese — 2011
• Articulated pose estimation with flexible mixtures-of-partsYi Yang, Deva Ramanan — 2011
• Deep Learning Face Representation from Predicting 10,000 ClassesYi Sun, Xiaogang Wang, Xiaoou Tang — 2014
• Multi-stage Contextual Deep Learning for Pedestrian DetectionXingyu Zeng, Wanli Ouyang, Xiaogang Wang — 2013
• Articulated Human Detection with Flexible Mixtures of PartsYi Yang, Deva Ramanan — 2013
• Learning Hierarchical Features for Scene LabelingClément Farabet, Camille Couprie, Laurent Najman — 2013
• Progressive search space reduction for human pose estimationVittorio Ferrari, Manuel J. Marín‐Jiménez, Andrew Zisserman — 2008
• A Multi-layer Composite Model for Human Pose EstimationKun Duan, Dhruv Batra, David Crandall — 2012
• Pictorial Structures for Object RecognitionPedro F. Felzenszwalb, Daniel P. Huttenlocher — 2004
• Sum-product networks: A new deep architectureHoifung Poon, Pedro Domingos — 2011
• Learning hierarchical poselets for human parsingYang Wang, Duan Tran, Zicheng Liao — 2011
• Scheduling with generalized batch delivery dates and earliness penaltiesXiaoguang Yang — 2000

Cited by

• Learning Deep Representation for Face Alignment with Auxiliary AttributesZhanpeng Zhang, Ping Luo, Chen Change Loy — 2014
• A survey of human pose estimation: The body parts parsing based methodsZhao Liu, Jianke Zhu, Jiajun Bu — 2015
• Learning contrastive feature distribution model for interaction recognitionYanli Ji, Hong Cheng, Yali Zheng — 2015
• Multimodal Deep Autoencoder for Human Pose RecoveryChaoqun Hong, Jun Yu, Jian Wan — 2015
• Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSOLei Zhao, Qinghua Hu, Wenwu Wang — 2015
• Combining local appearance and holistic view: Dual-Source Deep Neural Networks for human pose estimationXiaochuan Fan, Kang Zheng, Yuewei Lin — 2015
• Learning a sequential search for landmarksSaurabh Singh, Derek Hoiem, David Forsyth — 2015
• DeepReID: Deep Filter Pairing Neural Network for Person Re-identificationWei Li, Rui Zhao, Tong Xiao — 2014
• Single-Pedestrian Detection Aided by Two-Pedestrian DetectionWanli Ouyang, Xingyu Zeng, Xiaogang Wang — 2015
• Switchable Deep Network for Pedestrian DetectionPing Luo, Yonglong Tian, Xiaogang Wang — 2014
• Robust Optimization for Deep RegressionVasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro — 2015
• DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural NetworksWanli Ouyang, Xiaogang Wang, Xingyu Zeng — 2017
• Enhanced Mixtures of Part Model for Human Pose EstimationWenjuan Gong, Yongzhen Huang, Jordi Gonzàlez — 2015
• Single-Pedestrian Detection Aided by Multi-pedestrian DetectionWanli Ouyang, Xiaogang Wang — 2013
• DeepCut: Joint Subset Partition and Labeling for Multi Person Pose EstimationLeonid Pishchulin, Eldar Insafutdinov, Siyu Tang — 2015
• Deep learning for visual understanding: A reviewYanming Guo, Yu Liu, Ard Oerlemans — 2016
• Arm Poses Modeling for Pedestrians with Motion PriorChongguo Li, N.H.C. Yung — 2015
• A Review of Human Activity Recognition MethodsMichalis Vrigkas, Christophoros Nikou, Ioannis A. Kakadiaris — 2015
• Multi-task Recurrent Neural Network for Immediacy PredictionXiao Chu, Wanli Ouyang, Wei Yang — 2015
• Learning Deep Representation with Large-Scale AttributesWanli Ouyang, Hongyang Li, Xingyu Zeng — 2015

Related papers

• Theoretical Analysis of the Benchmark for Choosing Manipulative Instruments of Monetary PoliciesZhu En-tao — 2009
• Exploring disk performance benchmarksKazimierz Krosman, J. Sosnowski — 2017
• Solutions to the Third Benchmark Control ProblemChien Y. Huang, Dean K. Frederick — 1991
• A Benchmark Characterization of the EEMBC Benchmark SuiteJason Poovey, Thomas M. Conte, Markus Levy — 2009
• The Performance Validation of Linear Programming Algorithm Based on Integrated BenchmarkShu Hong Chen, Guo Feng Yan — 2010
• An empirical assessment of Bellon's clone benchmarkAlan Charpentier, Jean‐Rémy Falleri, David Lo — 2015