Paper_reading

ECCV 2018

Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning

Dividing and Aggregating Network for Multi-view Action Recognition

Deep Bilinear Learning for RGB-D Action Recognition

Modality Distillation with Multiple Stream Networks for Action Recognition

Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification

Motion Feature Network: Fixed Motion Filter for Action Recognition

Spatio-Temporal Channel Correlation Networks for Action Classification

Recurrent Tubelet Proposal and Recognition Networks for Action Detection

PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities

RESOUND: Towards Action Recognition without Representation Bias

CVPR 2018

MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition

Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition

2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning

Temporal Hallucinating for Action Recognition With Few Still Images

Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition

Im2Flow: Motion Hallucination From Static Images for Action Recognition

Compressed Video Action Recognition

A Closer Look at Spatiotemporal Convolutions for Action Recognition

Temporal Deformable Residual Networks for Action Segmentation in Videos

PoTion: Pose MoTion Representation for Action Recognition

What Have We Learned From Deep Representations for Action Recognition?

Towards Universal Representation for Unseen Action Recognition

ICCV 2017

Learning Long-Term Dependencies for Action Recognition With a Biologically-Inspired Deep Network

Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks

Adaptive RNN Tree for Large-Scale Human Action Recognition

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition From Skeleton Data

Lattice Long Short-Term Memory for Human Action Recognition

Chained Multi-Stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection

Single Image Action Recognition Using Semantic Body Part Actions

RPAN: An End-To-End Recurrent Pose-Attention Network for Action Recognition in Videos

CVPR 2017

Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection

Asynchronous Temporal Fields for Action Recognition

Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks

ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification

Spatiotemporal Pyramid Network for Video Action Recognition

Zero-Shot Action Recognition With Error-Correcting Output Codes

Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos

AdaScan: Adaptive Scan Pooling in Deep Convolutional Neural Networks for Human Action Recognition in Videos

Learning and Refining of Privileged Information-Based RNNs for Action Recognition From Depth Sequences

Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition

UntrimmedNets for Weakly Supervised Action Recognition and Detection

Procedural Generation of Videos to Train Deep Action Recognition Networks

Spatiotemporal Multiplier Networks for Video Action Recognition

Deep Learning on Lie Groups for Skeleton-Based Action Recognition

Modeling Sub-Event Dynamics in First-Person Action Recognition

NIPS 2018

Trajectory Convolution for Action Recognition

Unsupervised Learning of View-invariant Action Representations

NIPS 2017

Attentional Pooling for Action Recognition

AAAI 2018

Action Recognition from Skeleton Data via Analogical Generalization over Qualitative Representations

Action Recognition with Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion

Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition

Hierarchical Nonlinear Orthogonal Adaptive-Subspace Self-Organizing Map based Feature Extraction for Human Action Recognition

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition

T-C3D: Temporal Convolutional 3D Network for Real-time Action Recognition

Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition

Unsupervised Representation Learning with Long-Term Dynamics for Skeleton Based Action Recognition

ACMMM 2018

Temporal Sequence Distillation: Towards Few Frame Action Recognition

ACMMM 2017

3D CNNs on Distance Matrices for Human Action Recognition