Human Detection
82 papers with code • 0 benchmarks • 13 datasets
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Latest papers
CamPro: Camera-based Anti-Facial Recognition
The proliferation of images captured from millions of cameras and the advancement of facial recognition (FR) technology have made the abuse of FR a severe privacy threat.
Divide and Conquer: Hybrid Pre-training for Person Search
To the best of our knowledge, this is the first work that investigates how to support full-task pre-training using sub-task data.
A Representative Study on Human Detection of Artificially Generated Media Across Countries
To further understand which factors influence people's ability to detect generated media, we include personal variables, chosen based on a literature review in the domains of deepfake and fake news research.
Paved2Paradise: Cost-Effective and Scalable LiDAR Simulation by Factoring the Real World
Our key insight is that, by deliberately collecting separate "background" and "object" datasets (i. e., "factoring the real world"), we can intelligently combine them to produce a combinatorially large and diverse training set.
A Novel Voronoi-based Convolutional Neural Network Framework for Pushing Person Detection in Crowd Videos
In the feature extraction component, a new Voronoi-based method is developed for determining the local regions associated with each person in the input video.
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
This model produces a new image representation that enhances objects of interest in the scene and greatly improves detection performance.
MEM: Multi-Modal Elevation Mapping for Robotics and Learning
Elevation maps are commonly used to represent the environment of mobile robots and are instrumental for locomotion and navigation tasks.
Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
State-of-the-art solutions adopt the DETR-like framework, and mainly develop the complex decoder, e. g., regarding pose estimation as keypoint box detection and combining with human detection in ED-Pose, hierarchically predicting with pose decoder and joint (keypoint) decoder in PETR.
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework
The ability to detect learned objects regardless of their appearance is crucial for autonomous systems in real-world applications.
Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion
The majority of human detection methods rely on the sensor using visible lights (e. g., RGB cameras) but such sensors are limited in scenarios with degraded vision conditions.