This is the official repository of the paper "Object size prediction from hand movement using a single RGB sensor". It contains the implementation, the dataset and the supplemental material of our work.

3D Human-Object Interaction in Video A New Approach to Object Tracking via Cross-Modal Attention

One-Stage HOI detection code: Visual Compositional Learning for Human-Object Interaction Detection (ECCV2020), Affordance Transfer Learning for Human-Object Interaction Detection (CVPR2021)

Utilities for the dataset V-COCO in Python3

A toolkit developed to help analyzing existing Human-Object Interaction (HOI) detection methods, for research purpose. Not maintained but might still work for the majority of HOI methods..

A toolbox for HOI Detection.

This is the repo for an open project named detecting human object interactions in real-time

[AAAI 2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.

Code for the ECCV'22 paper "Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos".

This repository contains the dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.

🚴‍♂️ ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection (MM 2020)

Code for our paper "Category Query Learning for Human-Object Interaction Classification" (CVPR2023)

[CVPR'23] Method to infer objects from human interactions

Code for CVPR22 paper: Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection.

The official code for Relational Context Learning for Human-Object Interaction Detection, CVPR2023.

Official implementation of "ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos" (ACM ICMRW 2021)

Utilities for the human-object interaction detection dataset HICO-DET

Paper list of human object interaction (HOI)

Neural Interaction Fields for Trajectory sYnthesis

[ICCV'21] Official PyTorch implementation for paper "Spatially Conditioned Graphs for Detecting Human–Object Interactions"