Human Detection

57 papers with code • 0 benchmarks • 11 datasets

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Most implemented papers

RMPE: Regional Multi-person Pose Estimation

MVIG-SJTU/AlphaPose ICCV 2017

In this paper, we propose a novel regional multi-person pose estimation (RMPE) framework to facilitate pose estimation in the presence of inaccurate human bounding boxes.

GLTR: Statistical Detection and Visualization of Generated Text

HendrikStrobelt/detecting-fake-text ACL 2019

The rapid improvement of language models has raised the specter of abuse of text generation systems.

Fooling automated surveillance cameras: adversarial patches to attack person detection

EAVISE/adversarial-yolo 18 Apr 2019

Some of these approaches have also shown that these attacks are feasible in the real-world, i. e. by modifying an object and filming it with a video camera.

MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network

salihkaragoz/pose-residual-network-pytorch ECCV 2018

In this paper, we present MultiPoseNet, a novel bottom-up multi-person pose estimation architecture that combines a multi-task model with a novel assignment method.

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

MIT-SPARK/Kimera 15 Feb 2020

Our second contribution is to provide the first fully automatic Spatial PerceptIon eNgine(SPIN) to build a DSG from visual-inertial data.

Search and Rescue with Airborne Optical Sectioning

christophostertag/SAR-Python 18 Sep 2020

We show that automated person detection under occlusion conditions can be significantly improved by combining multi-perspective images before classification.

AlignedReID++: Dynamically matching local information for person re-identification

mindspore-ai/models Pattern Recognition 2019

Then, we propose a deep model name AlignedReID++ which is jointly learned with global features and local feature based on DMLI.

DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data

VisualComputingInstitute/DR-SPAAM-Detector 29 Apr 2020

Detecting persons using a 2D LiDAR is a challenging task due to the low information content of 2D range data.

Monitoring COVID-19 social distancing with person detection and tracking via fine-tuned YOLO v3 and Deepsort techniques

suyash16999/Social-Distance-Monitoring 4 May 2020

From the experimental analysis, it is observed that the YOLO v3 with Deepsort tracking scheme displayed best results with balanced mAP and FPS score to monitor the social distancing in real-time.

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text

kirubarajan/roft EMNLP 2020

In recent years, large neural networks for natural language generation (NLG) have made leaps and bounds in their ability to generate fluent text.