Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: CUHK&ETHZ&SIAT Submission to ActivityNet Challenge 2016
ActivityNet: A large-scale video benchmark for human activity understanding
Human Activity Detection from RGBD Images
Spatiotemporal Multi-Task Network for Human Activity Understanding
Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
ReHAR: Robust and Efficient Human Activity Recognition
RGB-D Camera-based Daily Living Activity Recognition
A survey of video datasets for human action and activity recognition
Micro Actions and Deep Static Features for Activity Recognition
Deep feature learning and selection for activity recognition
Transfer learning for activity recognition: a survey
Multi-modal Convolutional Neural Networks for Activity Recognition
Feature Learning for Activity Recognition in Ubiquitous Computing
Skeleton-based Human Activity Recognition for Video Surveillance
An integrated framework for human activity recognition
Classification methods for activity recognition
Human Activity Learning using Object Affordances from RGB-D Videos
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis
Weak supervision for detecting object classes from activities
VideoCapsuleNet: A Simplified Network for Action Detection
Accurate Activity Recognition in a Home Setting
A Business Intelligence Technique for Forecasting the Automobile Sales using Adaptive Intelligent Systems (ANFIS and ANN)
Estimating the health and economic benefits associated with reducing air pollution in the Barcelona metropolitan area (Spain)
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets
Accuracy study of frequency converter estimates used in the sensorless diagnostics of induction-motor-driven systems
Deep Neural Networks for Object Detection