Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: In Defense of Single-column Networks for Crowd Counting
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
Counting people in crowds with a real-time network of simple image sensors
Deep People Counting in Extremely Dense Crowds
Dense crowd counting from still images with convolutional neural networks
Switching Convolutional Neural Network for Crowd Counting
Image Crowd Counting Using Convolutional Neural Network and Markov Random Field
Counting in Dense Crowds using Deep Features
Crowd Counting Using Multiple Local Features
On pixel count based crowd density estimation for visual surveillance
Crowd Counting and Profiling: Methodology and Evaluation
Towards a Robust Solution to People Counting
An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting
Tackling the Redundancy and Sparsity in Crowd Sensing Applications
Skip-connection convolutional neural network for still image crowd counting
Spatiotemporal Modeling for Crowd Counting in Videos
Efficiently Identifying a Well-Performing Crowd Process for a Given Problem
A survey of video datasets for crowd density estimation
Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map
counting of people in the extremely dense crowd using genetic algorithm and blobs counting .
Counting Pedestrians in Crowds Using Viewpoint Invariant Training
NLCI: a natural language command interpreter
Learning To Count Objects in Images
Joint 3D Reconstruction of a Static Scene and Moving Objects
Scalable Function Call Graph-based Malware Classification
Automatic measurement of fetal head structures using ultrasound