Object detection on visible (RGB) and infrared (IR) images, as an emerging solution to facilitate robust detection for around-the-clock applications, has received extensive attention in recent years.

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We introduce a RGB+S dataset named “Industrial Human Action Recognition Dataset” (InHARD) from a real-world setting for industrial human action recognition with over 2 million frames, collected from ...

The dataset is built from 10 real-world simulated environments in the RealMan Beijing Humanoid Robot Data Training Center.

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Abstract: In this paper, we present a 4D human-object interaction (4DHOI) model for solving three vision tasks jointly: i) event segmentation from a video sequence, ii) event recognition and parsing, ...

This repository is code release for our ICCV 2019 paper (arXiv report here). Current 3D object detection methods are heavily influenced by 2D detectors. In order to leverage architectures in 2D ...