Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
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Updated
Sep 11, 2018 - Python
Pytorch Implementation of "Object level Visual Reasoning in Videos", F. Baradel, N. Neverova, C. Wolf, J. Mille, G. Mori , ECCV 2018
[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
Learning Human-Object Interaction Detection using Interaction Points, CVPR 2020
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
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.
GRAB: A Dataset of Whole-Body Human Grasping of Objects
[ECCV 2020] DRG: Dual Relation Graph for Human-Object Interaction Detection
[ICCV'21] Official PyTorch implementation for paper "Spatially Conditioned Graphs for Detecting Human–Object Interactions"
Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"
This repository contains the dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.
As a part of HAKE project (HAKE-3D). Code for our CVPR2020 paper "Detailed 2D-3D Joint Representation for Human-Object Interaction".
VSGNet:Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions.
Code for Transferable Interactiveness Knowledge for Human-Object Interaction Detection. (CVPR'19, TPAMI'21)
The official code for Relational Context Learning for Human-Object Interaction Detection, CVPR2023.
[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact
Official implementation for the CVPR'23 paper: Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
[CVPR'22] Official PyTorch implementation for paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"
Code for our paper "Category Query Learning for Human-Object Interaction Classification" (CVPR2023)
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