Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Action recognition with joints-pooled 3D deep convolutional descriptors
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
T-C3D: Temporal Convolutional 3D Network for Real-Time Action Recognition
Regularizing Long Short Term Memory with 3D Human-Skeleton Sequences for Action Recognition
skeletal quads : human action recognition using joint quadruples .
Combining multiple sources of knowledge in deep CNNs for action recognition
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Coupled hidden conditional random fields for RGB-D human action recognition
A survey of depth and inertial sensor fusion for human action recognition
Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition
Joint pose estimation and action recognition in image graphs
Informative joints based human action recognition using skeleton contexts
Attentional Pooling for Action Recognition
Deep Learning on Lie Groups for Skeleton-Based Action Recognition
A hierarchical representation for human action recognition in realistic scenes
Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition
A combined pose, object, and feature model for action understanding
D3D: Distilled 3D Networks for Video Action Recognition
Two-Stream RNN/CNN for Action Recognition in 3D Videos
3D skeleton based action recognition by video-domain translation-scale invariant mapping and multi-scale dilated CNN
Application of Cognitive Rehabilitation Theory to the Development of Smart Prompting Technologies
Evaluation of the Spiritual Well-Being Scale in a Sample of Korean Adults
Action bank: A high-level representation of activity in video
Training Utterance-level Embedding Networks for Speaker Identification and Verification
Automated scalable segmentation of neurons from multispectral images