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https://github.com/huoxingmeishi/Awesome-Scene-Graphs
https://github.com/huoxingmeishi/Awesome-Scene-Graphs
List: Awesome-Scene-Graphs
Last synced: 10 days ago
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- Host: GitHub
- URL: https://github.com/huoxingmeishi/Awesome-Scene-Graphs
- Owner: huoxingmeishi
- Created: 2020-05-06T05:06:22.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-05-14T00:30:28.000Z (over 4 years ago)
- Last Synced: 2024-05-23T05:08:55.581Z (6 months ago)
- Size: 1.15 MB
- Stars: 53
- Watchers: 5
- Forks: 13
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-vision-language-pretraining - scene graphs
README
# Awesome Scene Graphs [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
Literature survey of scene graphs
## Table of Contents
- [Survey](#Survey)
- [Datasets](#Datasets)
- [Awesome Scene Graphs](#ASG)
- [2020 Venues](#2020)
- [2019 Venues](#2019)
- [2018 Venues](#2018)
- [2017 Venues](#2017)
- [2010-2016 Venues](#2010-2016)### Survey
| Title | Venue |
|:--------|:--------:|
|A Survey of Scene Graph:Generation and Application| https://www.xiaojun.ai/papers/Scene-Graph-Survey.pdf|@Booklet{EasyChair:3385,
author = {Pengfei Xu and Xiaojun Chang and Ling Guo and Po-Yao Huang and Xiaojiang Chen and Alex Hauptmann},
title = {A Survey of Scene Graph: Generation and Application},
howpublished = {EasyChair Preprint no. 3385},
year = {EasyChair, 2020}}
## Datasets
| Title | Abbr |
|:--------|:--------:|
| [Visual Relationship Detection with Language Priors](https://arxiv.org/pdf/1608.00187.pdf) | VRD |
| [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://arxiv.org/pdf/1602.07332.pdf) | Visual Genome |
| [Weakly-supervised learning of visual relations](http://openaccess.thecvf.com/content_ICCV_2017/papers/Peyre_Weakly-Supervised_Learning_of_ICCV_2017_paper.pdf) | UnRel |### 2020
| Title | Venue | Code |
|:--------|:--------:|:--------:|
| [Bridging Knowledge Graphs to Generate Scene Graphs](https://arxiv.org/pdf/2001.02314.pdf) | arXiv | -|
| [Unbiased Scene Graph Generation from Biased Training](https://arxiv.org/pdf/2002.11949.pdf) | CVPR | -|
| [Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval](https://arxiv.org/pdf/1910.05134.pdf) | WACV | -|
| [SOGNet: Scene Overlap Graph Network for Panoptic Segmentation](https://arxiv.org/pdf/1911.07527.pdf) | AAAI | -|
| Storytelling from an Image Stream Using Scene Graphs | - | -|### 2019
| Title | Venue | Code |
|:--------|:--------:|:--------:|
| [Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues](https://arxiv.org/pdf/1901.10124.pdf) | WWW | - |
| [Contextual Translation Embedding for Visual Relationship Detection and Scene Graph Generation](https://arxiv.org/pdf/1905.11624.pdf) | NLP | - |
| [PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph](https://arxiv.org/pdf/1905.01608.pdf) | NIPS | - |
| [Referring Expression Grounding by Marginalizing Scene Graph Likelihood](https://arxiv.org/pdf/1906.03561v1.pdf) | NIPS | - |
| [Scene graph captioner: Image captioning based on structural visual representation](https://www.sciencedirect.com/science/article/pii/S1047320318303535) | JVCIR | - |
| [Know More Say Less: Image Captioning Based on Scene Graphs](https://ieeexplore.ieee.org/document/8630068) | IEEE | - |
| [3-D Scene Graph: A Sparse and Semantic Representation of Physical Environments for Intelligent Agents](https://arxiv.org/ftp/arxiv/papers/1908/1908.04929.pdf) | IEEE | - |
| [PANet: A Context Based Predicate Association Network for Scene Graph Generation](https://ieeexplore.ieee.org/document/8784780) | ICME | - |
| [Multi-Granularity Reasoning for Social Relation Recognition from Images](https://arxiv.org/pdf/1901.03067.pdf) | ICME | - |
| [Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection](https://arxiv.org/pdf/1902.05829.pdf) | ICIP | - |
| [Layout and Context Understanding for Image Synthesis with Scene Graphs](https://www.researchgate.net/publication/335538931_Layout_and_Context_Understanding_for_Image_Synthesis_with_Scene_Graphs) | ICIP | - |
| [Triplet-Aware Scene Graph Embeddings](https://arxiv.org/pdf/1909.09256v1.pdf) | ICCV | - |
| [Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset](https://arxiv.org/pdf/1911.00850.pdf) | ICCV | - |
| [Detecting Visual Relationships Using Box Attention](https://arxiv.org/pdf/1807.02136.pdf) | ICCV | - |
| [Differentiable Scene Graphs](https://arxiv.org/pdf/1902.10200v2.pdf) | ICCV | - |
| [VrR-VG: Refocusing Visually-Relevant Relationships](https://arxiv.org/pdf/1902.00313.pdf) | ICCV | - |
| [Unpaired Image Captioning via Scene Graph Alignments](https://arxiv.org/pdf/1903.10658.pdf) | ICCV | - |
| [Scene Graph Prediction with Limited Labels](https://arxiv.org/pdf/1904.11622v1.pdf) | ICCV | - |
| [Seq-SG2SL: Inferring Semantic Layout from Scene Graph through Sequence to Sequence Learning](https://arxiv.org/pdf/1908.06592.pdf) | ICCV | - |
| [Counterfactual Critic Multi-Agent Training for Scene Graph Generation](https://arxiv.org/pdf/1812.02347.pdf) | ICCV | - |
| [3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera](https://arxiv.org/pdf/1910.02527.pdf) | ICCV | - |
| [Auto-Encoding Scene Graphs for Image Captioning](https://arxiv.org/pdf/1812.02378.pdf) | CVPR | - |
| [Compact Scene Graphs for Layout Composition and Patch Retrieval](https://arxiv.org/pdf/1904.09348.pdf) | CVPR | - |
| [Exploring Context and Visual Pattern of Relationship for Scene Graph Generation](https://www.researchgate.net/publication/338512917_Exploring_Context_and_Visual_Pattern_of_Relationship_for_Scene_Graph_Generation) | CVPR | - |
| [Explainable and Explicit Visual Reasoning over Scene Graphs](https://arxiv.org/pdf/1812.01855.pdf) | CVPR | - |
| [Learning to Compose Dynamic Tree Structures for Visual Contexts](https://arxiv.org/pdf/1812.01880.pdf) | CVPR | - |
| [Image Generation from Layout](https://arxiv.org/pdf/1811.11389v2.pdf) | CVPR | - |
| [Scene Graph Generation with External Knowledge and Image Reconstruction](https://arxiv.org/pdf/1904.00560.pdf) | CVPR | - |
| [Graphical Contrastive Losses for Scene Graph Parsing](https://arxiv.org/pdf/1903.02728.pdf) | CVPR | - |
| [Knowledge-Embedded Routing Network for Scene Graph Generation](https://arxiv.org/pdf/1903.03326v1.pdf) | CVPR | - |
| [Attentive Relational Networks for Mapping Images to Scene Graphs](https://arxiv.org/pdf/1811.10696v1.pdf) | CVPR | - |
| [A hierarchical recurrent approach to predict scene graphs from a visual-attention-oriented perspective](https://www.researchgate.net/publication/331969285_A_hierarchical_recurrent_approach_to_predict_scene_graphs_from_a_visual-attention-oriented_perspective) | CI | - |
| [An Empirical Study on Leveraging Scene Graphs for Visual Question Answering](https://arxiv.org/pdf/1907.12133.pdf) | BMVC | - |
| [Using Scene Graph Context to Improve Image Generation](https://arxiv.org/pdf/1901.03762.pdf) | arXiv | - |
| [Neural-Symbolic Tensor Product Scene-Graph-Triplet Representation for Image Captioning](https://arxiv.org/pdf/1911.10115.pdf) | arXiv | - |
| [Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators](https://arxiv.org/pdf/1909.09953.pdf) | arXiv | - |
| [Learning Predicates as Functions to Enable Few-shot Scene Graph Prediction](https://arxiv.org/pdf/1906.04876.pdf) | arXiv | - |
| [Learning Canonical Representations for Scene Graph to Image Generation](https://arxiv.org/pdf/1912.07414.pdf) | arXiv | - |
| [Interactive Image Generation Using Scene Graphs](https://arxiv.org/pdf/1905.03743.pdf) | arXiv | - |
| [Generating Natural Language Explanations for Visual Question Answering Using Scene Graphs and Visual Attention](https://arxiv.org/pdf/1902.05715.pdf) | arXiv | - |
| [Action Genome Actions as Composition of Spatio-temporal Scene Graphs](https://arxiv.org/pdf/1912.06992.pdf) | arXiv | - |
| [Large-Scale Visual Relationship Understanding](https://arxiv.org/pdf/1804.10660v2.pdf) | AAAI | - |
| [BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection](https://arxiv.org/pdf/1902.00038.pdf) | AAAI | - |### 2018
| Title | Venue | Code |
|:--------|:--------:|:--------:|
| [Scaling Human-Object Interaction Recognition through Zero-Shot Learning](http://vision.stanford.edu/pdf/shen2018wacv.pdf) | WACV | - |
| [Learning to Detect Human-Object Interactions](https://arxiv.org/pdf/1702.05448.pdf) | WACV | - |
| [Scene Graph Parsing by Attention Graph](https://arxiv.org/pdf/1909.06273v1.pdf) | ViGIL | - |
| [Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction](https://arxiv.org/pdf/1802.05451.pdf) | NIPS | - |
| [LinkNet:Relational Embedding for Scene Graph](https://arxiv.org/pdf/1811.06410.pdf) | NIPS | - |
| [An Interpretable Model for Scene Graph Generation](https://arxiv.org/pdf/1811.09543v1.pdf) | NIPS | - |
| [Scene Graph Parsing as Dependency Parsing](https://arxiv.org/pdf/1803.09189.pdf) | NAACL | - |
| [Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding](https://www.ijcai.org/Proceedings/2018/132) | IJCAI | - |
| [Narrative Collage of Image Collections by Scene Graph Recombination](https://ieeexplore.ieee.org/document/8057796) | TVCG | - |
| [Image Captioning with Scene-graph Based Semantic Concepts](https://dl.acm.org/doi/10.1145/3195106.3195114) | ICMLC | - |
| [Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Disti](https://arxiv.org/pdf/1805.10802.pdf) | ICME | - |
| [Zoom-Net:Mining Deep Feature Interactions for Visual Relationship Recognition](https://arxiv.org/pdf/1807.04979.pdf) | ECCV | - |
| [Learning Human-Object Interactions by Graph Parsing Neural Networks](https://arxiv.org/pdf/1808.07962.pdf) | ECCV | - |
| [Graph R-CNN for Scene Graph Generation](https://arxiv.org/pdf/1808.00191.pdf) | ECCV | - |
| [Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation](https://arxiv.org/pdf/1806.11538.pdf) | ECCV | - |
| [Actor-Centric Relation Network](https://arxiv.org/pdf/1807.10982.pdf) | ECCV | - |
| [Tensorize,Factorize and Regularize Robust Visual Relationship Learning](https://www.researchgate.net/publication/329382255_Tensorize_Factorize_and_Regularize_Robust_Visual_Relationship_Learning) | CVPR | - |
| [Neural Motifs Scene Graph Parsing with Global Context](https://arxiv.org/pdf/1711.06640.pdf) | CVPR | - |
| [Image Generation from Scene Graphs](https://arxiv.org/pdf/1804.01622.pdf) | CVPR | - |
| [Detecting and Recognizing Human-Object Interactions](https://arxiv.org/pdf/1704.07333.pdf) | CVPR | - |
| [Image Understanding using vision and reasoning through Scene Description](http://www.public.asu.edu/~cbaral/papers/2017CVIU.pdf) | CVIU | - |
| [Visual Social Relationship Recognition](https://arxiv.org/pdf/1812.05917.pdf) | arXiv | - |
| [Transferable Interactiveness Prior for Human-Object Interaction Detection](https://arxiv.org/pdf/1811.08264v1.pdf) | arXiv | - |
| [Scene Graph Reasoning with Prior Visual Relationship for Visual Question Answering](https://arxiv.org/pdf/1812.09681v2.pdf) | arXiv | - |
| [Scene Graph Generation via Conditional Random Fields](https://arxiv.org/pdf/1811.08075.pdf) | arXiv | - |
| [Detecting unseen visual relations using analogies](https://arxiv.org/pdf/1812.05736.pdf) | arXiv | - |
| [Context-Dependent Diffusion Network for Visual Relationship Detection](https://arxiv.org/pdf/1809.06213.pdf) | AMC | - |
| [Scene-centric Joint Parsing of Cross-view Videos](http://arxiv.org/pdf/1709.05436) | AAAI | - |
| [HCVRD:A Benchmark for Large-Scale Human-Centered Visual Relationship Detecti](https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/download/16444/16362) | AAAI | - |
| [Generating Triples with Adversarial Networks for Scene Graph Construction](https://arxiv.org/pdf/1802.02598.pdf) | AAAI | - |### 2017
| Title | Venue | Code |
|:--------|:--------:|:--------:|
| [Pixels to Graphs by Associative Embedding](https://arxiv.org/pdf/1706.07365.pdf) | NIPS | - |
| [On support relations and semantic scene graphs](https://arxiv.org/pdf/1609.05834.pdf) | ISPRS | - |
| [Joint Embeddings of Scene Graphs and Images](https://openreview.net/pdf?id=BkyScySKl) | ICLR | - |
| [Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation](https://arxiv.org/pdf/1707.09423.pdf) | ICCV | - |
| [Scene Graph Generation from Objects, Phrases and Region Captions](https://arxiv.org/pdf/1707.09700.pdf) | ICCV | - |
| [Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues](https://arxiv.org/pdf/1611.06641.pdf) | ICCV | - |
| [Visual Translation Embedding Network for Visual Relation Detection](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Visual_Translation_Embedding_CVPR_2017_paper.pdf) | CVPR | - |
| [ViP-CNN: Visual Phrase Guided Convolutional Neural Network](https://arxiv.org/pdf/1702.07191.pdf) | CVPR | - |
| [Scene Graph Generation by Iterative Message Passing](https://arxiv.org/pdf/1701.02426.pdf) | CVPR | - |
| [Relationship Proposal Networks](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Relationship_Proposal_Networks_CVPR_2017_paper.pdf) | CVPR | - |
| [Modeling Relationships in Referential Expressions with Compositional Modular Networks](https://arxiv.org/pdf/1611.09978.pdf) | CVPR | - |
| [Learning Object Interactions and Descriptions for Semantic Image Segmentation](http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Learning_Object_Interactions_CVPR_2017_paper.pdf) | CVPR | - |
| [Detecting Visual Relationships with Deep Relational Networks](https://arxiv.org/pdf/1704.03114.pdf) | CVPR | - |
| [Deep Variation-Structured Reinforcement Learning for Visual Relationship and Attribute Detection](https://arxiv.org/pdf/1703.03054.pdf) | CVPR | - |
| [Online Cross-Modal Scene Retrieval by Binary Representation and Semantic Graph](https://www.onacademic.com/detail/journal_1000040105998010_af53.html) | ACM | - |### 2010-2016
| Title | Venue | Code |
|:--------|:--------:|:--------:|
| [Visual Relationship Detection with Language Priors](http://arxiv.org/pdf/1608.00187) | ECCV | - |
| [Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval](http://www.cs.cmu.edu/~ark/EMNLP-2015/proceedings/VL/pdf/VL12.pdf) | WVL | - |
| [Image Retrieval using Scene Graphs](https://www.cv-foundation.org/openaccess/content_cvpr_2015/app/2B_036_ext.pdf) | CVPR | - |
| [From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge](http://arxiv.org/pdf/1511.03292) | arXiv | - |
| [Categorizing Object-Action Relations from Semantic Scene Graphs](https://core.ac.uk/download/pdf/36040546.pdf) | ICRA | - |