Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: PaDNet: Pan-Density Crowd Counting
Multi-source Multi-scale Counting in Extremely Dense Crowd Images
density - aware person detection and tracking in crowds .
Feature mining for localised crowd counting
Crowd Density Estimation Based on Local Binary Pattern Co-Occurrence Matrix
Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs
Switching Convolutional Neural Network for Crowd Counting
Counting people in crowds with a real-time network of simple image sensors
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds
Single-Image Crowd Counting via Multi-Column Convolutional Neural Network
Fast crowd density estimation with convolutional neural networks
Towards a Robust Solution to People Counting
Counting Pedestrians in Crowds Using Viewpoint Invariant Training
Realtime Pedestrian Tracking and Prediction in Dense Crowds
Crowd Counting via Weighted VLAD on a Dense Attribute Feature Map
COUNT Forest: CO-Voting Uncertain Number of Targets Using Random Forest for Crowd Density Estimation
CrowdHuman: A Benchmark for Detecting Human in a Crowd
Crowd density estimation based on rich features and random projection forest
Crowd Counting Using Multiple Local Features
Multiple Human Tracking in High-Density Crowds
Image Crowd Counting Using Convolutional Neural Network and Markov Random Field
Modeling, Design and Simulation of Systems
Crowd disasters as systemic failures: analysis of the Love Parade disaster
Autosomal trisomy syndromes: a detailed study of 27 cases of Edwards' syndrome and 27 cases of Patau's syndrome.
Sampling for Bayesian Program Learning.
Fuzzy logic, neural networks, and soft computing