Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A review on human action analysis in videos for retrieval applications
Learning realistic human actions from movies
EXMOVES: Mid-level Features for Efficient Action Recognition and Video Analysis
Explicit Modeling of Human-Object Interactions in Realistic Videos
Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition
Human Motion Reconstruction from Action Video Data Using a 3-Layer-LSTM
Efficient human action recognition using histograms of motion gradients and VLAD with descriptor shape information
CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos
Open-view human action recognition based on linear discriminant analysis
Learning Discriminative Space–Time Action Parts from Weakly Labelled Videos
Motion Interchange Patterns for Action Recognition in Unconstrained Videos
Human Action Recognition Using Multi-Velocity STIPs and Motion Energy Orientation Histogram
Person Search in Videos with One Portrait Through Visual and Temporal Links
from handcrafted to learned representations for human action recognition : a survey .
Feature detector and descriptor evaluation in human action recognition
Interactive Exploration of Surveillance Video through Action Shot Summarization and Trajectory Visualization
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos
Effective and efficient human action recognition using dynamic frame skipping and trajectory rejection
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
Active Temporal Action Detection in Untrimmed Videos Via Deep Reinforcement Learning
End-to-End Joint Semantic Segmentation of Actors and Actions in Video
single event latchup ( sel ) and total ionizing dose ( tid ) of a 1 mbit magnetoresistive random access memory ( mram ) .
Local features and kernels for classification of texture and object categories: a comprehensive study
Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning
Facebook in context(s): Measuring emotional responses across time and space:
Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles