Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Illumination-aware Faster R-CNN for Robust Multispectral Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks
Learning scene-specific pedestrian detectors without real data
Pedestrian detection for driving assistance systems: single-frame classification and system level performance
Pedestrian Detection Based on HOG Features Optimized by Gentle AdaBoost in ROI
GPU-based Pedestrian Detection for Autonomous Driving
Pedestrian Detection Based on HOG-LBP Feature
Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection
New features and insights for pedestrian detection
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network
Bi-box Regression for Pedestrian Detection and Occlusion Estimation
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Multi-label Learning of Part Detectors for Heavily Occluded Pedestrian Detection
Tracking multi-object using tracklet and Faster R-CNN: PhD Forum
Semantic image segmentation for pedestrian detection
Deep Learning Strong Parts for Pedestrian Detection
Fast pedestrian detection based on object proposals and HOG
On Random Weights and Unsupervised Feature Learning
Improving Massive MIMO Belief Propagation Detector with Deep Neural Network
A Hybrid Approach for Enhancing Data Security by Combining Encryption and Steganography
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web