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Human Detection

7 papers with code · Computer Vision

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RMPE: Regional Multi-person Pose Estimation

ICCV 2017 MVIG-SJTU/AlphaPose

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.

HUMAN DETECTION MULTI-PERSON POSE ESTIMATION

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

ECCV 2018 salihkaragoz/pose-residual-network-pytorch

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.

HUMAN DETECTION KEYPOINT DETECTION MULTI-PERSON POSE ESTIMATION

Context-aware CNNs for person head detection

ICCV 2015 aosokin/cnn_head_detection

First, we leverage person-scene relations and propose a Global CNN model trained to predict positions and scales of heads directly from the full image.

FACE DETECTION HEAD DETECTION HUMAN DETECTION

Generative Partition Networks for Multi-Person Pose Estimation

21 May 2017NieXC/pytorch-ppn

This paper proposes a new Generative Partition Network (GPN) to address the challenging multi-person pose estimation problem.

HUMAN DETECTION MULTI-PERSON POSE ESTIMATION

Query-guided End-to-End Person Search

CVPR 2019 munjalbharti/Query-guided-End-to-End-Person-Search

We extend this with i. a query-guided Siamese squeeze-and-excitation network (QSSE-Net) that uses global context from both the query and gallery images, ii.

HUMAN DETECTION PERSON SEARCH

Fooling automated surveillance cameras: adversarial patches to attack person detection

18 Apr 2019Zhang-Jack/adversarial_yolo2

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.

HUMAN DETECTION

An Order Preserving Bilinear Model for Person Detection in Multi-Modal Data

20 Dec 2017oulutan/OP-Bilinear-Model

We propose a new order preserving bilinear framework that exploits low-resolution video for person detection in a multi-modal setting using deep neural networks.

HUMAN DETECTION