Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: 3-Stream Convolutional Networks for Video Action Recognition with Hybrid Motion Field
Two-Stream Convolutional Networks for Action Recognition in Videos
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition
Two-Stream Flow-Guided Convolutional Attention Networks for Action Recognition
Real-Time Action Recognition with Enhanced Motion Vector CNNs
Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition
Cascaded temporal spatial features for video action recognition
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition
Motion Feature Network: Fixed Motion Filter for Action Recognition
Deep Local Video Feature for Action Recognition
Compressed Video Action Recognition
Semi-Coupled Two-Stream Fusion ConvNets for Action Recognition at Extremely Low Resolutions
A Robust and Efficient Video Representation for Action Recognition
Temporal Segment Networks for Action Recognition in Videos
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos
Better Exploiting Motion for Better Action Recognition
3D Convolutional Neural Networks for Human Action Recognition
MSR-CNN: Applying motion salient region based descriptors for action recognition
Temporal Deformable Residual Networks for Action Segmentation in Videos
Real-time clickstream data analytics and visualization
Epistemology in the Era of Fake News: An Exploration of Information Verification Behaviors among Social Networking Site Users
Multidisciplinary approach to defining public e-procurement and evaluating its impact on procurement efficiency
PALEONTOLOGY: The 'Tamba Dragon' Has Japanese Dinosaur Hunters All Fired Up
Event-based analysis of video