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Human-Object Interaction Detection

6 papers with code · Computer Vision

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Detecting and Recognizing Human-Object Interactions

CVPR 2018 facebookresearch/detectron

To understand the visual world, a machine must not only recognize individual object instances but also how they interact. Our hypothesis is that the appearance of a person -- their pose, clothing, action -- is a powerful cue for localizing the objects they are interacting with.

HUMAN-OBJECT INTERACTION DETECTION

The Kinetics Human Action Video Dataset

19 May 2017deepmind/kinetics-i3d

We describe the DeepMind Kinetics human action video dataset. The dataset contains 400 human action classes, with at least 400 video clips for each action.

ACTION CLASSIFICATION HUMAN-OBJECT INTERACTION DETECTION

Temporal Relational Reasoning in Videos

ECCV 2018 metalbubble/TRN-pytorch

Temporal relational reasoning, the ability to link meaningful transformations of objects or entities over time, is a fundamental property of intelligent species. In this paper, we introduce an effective and interpretable network module, the Temporal Relation Network (TRN), designed to learn and reason about temporal dependencies between video frames at multiple time scales.

ACTIVITY RECOGNITION COMMON SENSE REASONING HUMAN-OBJECT INTERACTION DETECTION RELATIONAL REASONING

Learning Human-Object Interactions by Graph Parsing Neural Networks

ECCV 2018 SiyuanQi/gpnn

This paper addresses the task of detecting and recognizing human-object interactions (HOI) in images and videos. For a given scene, GPNN infers a parse graph that includes i) the HOI graph structure represented by an adjacency matrix, and ii) the node labels.

HUMAN-OBJECT INTERACTION DETECTION

Parsing R-CNN for Instance-Level Human Analysis

30 Nov 2018soeaver/Parsing-R-CNN

Models need to distinguish different human instances in the image panel and learn rich features to represent the details of each instance. Parsing R-CNN is very flexible and efficient, which is applicable to many issues in human instance analysis.

HUMAN-OBJECT INTERACTION DETECTION HUMAN PART SEGMENTATION MULTI-HUMAN PARSING POSE ESTIMATION

iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

30 Aug 2018TaiwanRobert/iCAN_for_live_video

Recent years have witnessed rapid progress in detecting and recognizing individual object instances. Our core idea is that the appearance of a person or an object instance contains informative cues on which relevant parts of an image to attend to for facilitating interaction prediction.

HUMAN-OBJECT INTERACTION DETECTION