Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: A Multilevel Mixture-of-Experts Framework for Pedestrian Classification
Pedestrian detection for driving assistance systems: single-frame classification and system level performance
On Color-, Infrared-, and Multimodal-Stereo Approaches to Pedestrian Detection
Efficient pedestrian detection in urban traffic scenes
Semantic Channels for Fast Pedestrian Detection
Graininess-Aware Deep Feature Learning for Pedestrian Detection
New features and insights for pedestrian detection
Pedestrian detection from a moving vehicle
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
Learning scene-specific pedestrian detectors without real data
An Occlusion-Robust Feature Selection Framework in Pedestrian Detection †
Improving Occlusion and Hard Negative Handling for Single-Stage Pedestrian Detectors
Multi-label convolutional neural network based pedestrian attributeclassification
Monocular Pedestrian Detection: Survey and Experiments
Multi-pedestrian detection in crowded scenes: A global view
Local Co-Occurrence Selection via Partial Least Squares for Pedestrian Detection
Learning a Part-Based Pedestrian Detector in a Virtual World
Scene-Specific Pedestrian Detection Based on Parallel Vision
Pedestrian Detection in Low-Resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
Pedestrian Attribute Classification in Surveillance: Database and Evaluation
Pedestrian Detection and Tracking for Counting Applications in Crowded Situations
Learned Helplessness in Humans: Critique and Reformulation
Pedestrian detection in crowded scenes
Wireless Communication for Factory Automation: an opportunity for LTE and 5G systems
A decision support system for demand forecasting with artificial neural networks and neuro-fuzzy models: A comparative analysis
Regulation of Body Temperature