Deep Learning Publication Navigator - subtopic: action recognition

Year TitleAuthor
2017   Using deep multiple instance learning for action recognition in still images  C Bas, C Zalluhoglu, N Ikizler
2017   Action Recognition Based on Features Fusion and 3D Convolutional Neural Networks  L Liu, F Hu, J Zhao
2017   Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks  I Lee, D Kim, S Kang, S Lee
2017   Gaze-assisted Multi-stream Deep Neural Network for Action Recognition  Y Liu, Q Wu, L Tang, H Shi
2017   Learning Discriminative Convolutional Features for Skeletal Action Recognition  J Xu, Y Xiang, L Hu 
2017   More efficient and effective tricks for deep action recognition  Z Liu, X Zhang, L Song, Z Ding, H Duan 
2017   Action Recognition Using 3D Histograms of Texture and A Multi-class Boosting Classifier  B Zhang, Y Yang, C Chen, L Yang, J Han, L Shao
2017   DAAL: Deep Activation-based Attribute Learning for Action Recognition in Depth Videos  C Zhang, Y Tian, X Guo, J Liu 
2017   Going deeper with two-stream ConvNets for action recognition in video surveillance  Y Han, P Zhang, T Zhuo, W Huang, Y Zhang
2017   Joint Distance Maps Based Action Recognition with Convolutional Neural Network  C Li, Y Hou, P Wang, W Li
2017   Combined trajectories for action recognition based on saliency detection and motion boundary  X Wang, C Qi, F Lin
2017   3D Convolutional Neural Network for Action Recognition  J Zhang, L Chen, J Tian 
2017   Human action recognition in RGB-D videosusing motion sequence information and deep learning  EP Ijjina, CK Mohan
2017   Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks  Z Jiang, V Rozgic, S Adali
2017   Recurrent Attention Network using Spatial-temporal Relations for Action Recognition  M Zhang, Y Yang, Y Ji, N Xie, F Shen 
2017   Deep Learning for Action Recognition in Augmented Reality Assistance Systems  M Schröder, H Ritter
2017   Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos  IC Duta, B Ionescu, K Aizawa, N Sebe
2017   Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition  X Chen, J Weng, W Lu, J Xu, J Weng
2017   Pillar Networks for action recognition  B Sengupta, Y Qian
2017   Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition  H Liu, J Tu, M Liu
2017   Learning hierarchical video representation for action recognition  Q Li, Z Qiu, T Yao, T Mei, Y Rui, J Luo
2017   Pooling the Convolutional Layers in Deep ConvNets for Video Action Recognition  S Zhao, Y Liu, Y Han, R Hong, Q Hu, Q Tian
2017   Sequential Segment Networks for Action Recognition  QQ Chen, YJ Zhang
2017   SkeletonNet: Mining Deep Part Features for 3D Action Recognition  Q Ke, S An, M Bennamoun, F Sohel, F Boussaid
2017   Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition  C Cao, Y Zhang, C Zhang, H Lu
2017   A novel recurrent hybrid network for feature fusion in action recognition  S Yu, Y Cheng, L Xie, Z Luo, M Huang, S Li
2017   Learning Saliency For Human Action Recognition  D Stefic
2017   Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition  H Gammulle, S Denman, S Sridharan, C Fookes
2017   Deep Spatio-temporal Manifold Network for Action Recognition  C Li, C Chen, B Zhang, Q Ye, J Han, R Ji
2017   Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition  J Liu, A Mian
2017   Human action recognition using transfer learning with deep representations  AB Sargano, X Wang, P Angelov, Z Habib
2016   A Very Deep Sequences Learning Approach for Human Action Recognition  Z Lin, C Yuan
2016   Scale Coding Bag of Deep Features for Human Attribute and Action Recognition  FS Khan, J van de Weijer, RM Anwer, AD Bagdanov
2016   Single Image Action Recognition using Semantic Body Part Actions  Z Zhao, H Ma, S You
2016   Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition  CR de Souza, A Gaidon, E Vig, AM López
2016   DVS Benchmark Datasets for Object Tracking, Action Recognition and Object Recognition  Y Hu, H Liu, M Pfeiffer, T Delbruck
2016   Deep Multimodal Feature Analysis for Action Recognition in RGB+ D Videos  A Shahroudy, TT Ng, Y Gong, G Wang
2016   Selected Space-Time Based Methods for Action Recognition  S Wojciechowski, M Kulbacki, J Segen, R Wyciślok
2016   Real-time Action Recognition with Enhanced Motion Vector CNNs  B Zhang, L Wang, Z Wang, Y Qiao, H Wang
2016   On-Demand Video Processing In Wireless Networks An Application: Action Recognition  N Felemban
2016   Dynamic Image Networks for Action Recognition  H Bilen, B Fernando, E Gavves, A Vedaldi, S Gould
2016   Human action recognition using genetic algorithms and convolutional neural networks  EP Ijjina, CK Mohan
2016   Convolutional Neural Random Fields for Action Recognition  C Liu, J Liu, Z He, Y Zhai, Q Hu, Y Huang
2016   Action Recognition Using Convolutional Restricted Boltzmann Machines  P Palasek, I Patras
2016   Unsupervised Learning using Sequential Verification for Action Recognition  I Misra, CL Zitnick, M Hebert
2016   VideoLSTM Convolves, Attends and Flows for Action Recognition  Z Li, E Gavves, M Jain, CGM Snoek
2016   Accelerated learning of discriminative spatio-temporal features for action recognition  M Varshney, R Rameshan
2016   Action recognition using saliency learned from recorded human gaze  D Stefic, I Patras
2016   Combining ConvNets with Hand-Crafted Features for Action Recognition Based on an HMM-SVM Classifier  P Wang, Z Li, Y Hou, W Li
2016   Learning a Deep Model for Human Action Recognition from Novel Viewpoints  H Rahmani, A Mian, M Shah
2016   Hierarchical Attention Network for Action Recognition in Videos  Y Wang, S Wang, J Tang, N O'Hare, Y Chang, B Li
2016   3D-based Deep Convolutional Neural Network for Action Recognition with Depth Sequences  Z Liu, C Zhang, Y Tian
2016   A survey on deep neural networks for human action recognition in RGB image and depth image  Z Fang
2016   Action Recognition based on Efficient Deep Feature Learning in the Spatio-Temporal Domain  F Husain, B Dellen, C Torras
2016   Action Recognition with Joint Attention on Multi-Level Deep Features  J Wu, G Wang, W Yang, X Ji
2016   Convolutional Two-Stream Network Fusion for Video Action Recognition  C Feichtenhofer, A Pinz, A Zisserman
2016   Deep Learning on Lie Groups for Skeleton-based Action Recognition  Z Huang, C Wan, T Probst, L Van Gool
2016   Continuous action recognition based on hybrid CNN-LDCRF model  J Lei, G Li, S Li, D Tu, Q Guo
2016   Beyond Frame-level CNN: Saliency-aware 3D CNN with LSTM for Video Action Recognition  J Song, H Shen
2015   Discriminative Feature Learning with Constraints of Category and Temporal for Action Recognition  Z Wu, S Wan, P Jin, L Yue
2015   Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks  L Sun, K Jia, DY Yeung, BE Shi
2015   Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks  EP Ijjina, CK Mohan
2015   ConvNets-Based Action Recognition from Depth Maps through Virtual Cameras and Pseudocoloring  P Wang, W Li, Z Gao, C Tang, J Zhang, P Ogunbona
2015   DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Cameras  R Yang, R Yang
2015   Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition  Y Du, W Wang, L Wang
2015   Hybrid deep neural network model for human action recognition  EP Ijjina, CK Mohan
2015   Action Recognition From Depth Maps Using Deep Convolutional Neural Networks  P Wang, W Li, Z Gao, J Zhang, C Tang, PO Ogunbona
2015   Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition  H Rahmani, A Mian
2015   Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences  P Wang, W Li, Z Gao, J Zhang, C Tang, P Ogunbona
2015   Learning motion and content-dependent features with convolutions for action recognition  C Liu, W Xu, Q Wu, G Yang
2015   Action Recognition by using kernels on aclets sequences  L Brun, G Percannella, A Saggese, M Vento
2015   The Best of Both Worlds: Combining Data-independent and Data-driven Approaches for Action Recognition  Z Lan, D Yao, M Lin, SI Yu, A Hauptmann
2015   Combining Multiple Sources of Knowledge in Deep CNNs for Action Recognition  E Park, X Han, TL Berg, AC Berg
2015   P-CNN: Pose-based CNN Features for Action Recognition  G Chéron, I Laptev, C Schmid
2015   Human Action Recognition via Multi-task Learning base on Spatial-temporal Feature  W Guo, G Chen
2015   Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks  Y Shi, W Zeng, T Huang, Y Wang
2015   Action recognition by learning temporal slowness invariant features  L Pei, M Ye, X Zhao, Y Dou, J Bao
2015   Multi-Task Human Action Recognition via Exploring Super-Category  Y Yang, R Liu, C Deng, X Gao
2015   Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition  F Gu, F Flórez
2015   Action Recognition with Image Based CNN Features  M Ravanbakhsh, H Mousavi, M Rastegari, V Murino
2015   RNN Fisher Vectors for Action Recognition and Image Annotation  G Lev, G Sadeh, B Klein, L Wolf
2015   Pooling the Convolutional Layers in Deep ConvNets for Action Recognition  S Zhao, Y Liu, Y Han, R Hong
2015   ARCH: Adaptive Recurrent-Convolutional Hybrid Networks for Long-Term Action Recognition  M Xin, H Zhang, H Wang, M Sun, D Yuan
2015   CUHK&SIAT submission for THUMOS15 action recognition challenge  L Wang, Z Wang, Y Xiong, Y Qiao
2015   A Strict Pyramidal Deep Neural Network for Action Recognition  I Ullah, A Petrosino
2014   TriViews: A general framework to use 3D depth data effectively for action recognition  W Chen, G Guo
2014   Learning spatio-temporal features for action recognition from the side of the video  L Pei, M Ye, X Zhao, T Xiang, T Li
2014   Temporal Coherence in Energy-based Deep Learning Machines for Action Recognition  RS Adepu
2014   An Adaptive Stacked Denoising Auto-Encoder Architecture for Human Action Recognition  DX Wu, W Pan, LD Xie, CX Huang
2014   Action Recognition Using Hierarchical Independent Subspace Analysis with Trajectory  VD Luong, L Wang, G Xiao