mlsanityData to 7 Oct 2026

Pixels to Graphs by Associative Embedding

arXiv 1706.07365 ↗First posted 22 Jun 2017cs.CV cs.LGcited by 58

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Abstract (arXiv)

Graphs are a useful abstraction of image content. Not only can graphs represent details about individual objects in a scene but they can capture the interactions between pairs of objects. We present a method for training a convolutional neural network such that it takes in an input image and produces a full graph definition. This is done end-to-end in a single stage with the use of associative embeddings. The network learns to simultaneously identify all of the elements that make up a graph and piece them together. We benchmark on the Visual Genome dataset, and demonstrate state-of-the-art performance on the challenging task of scene graph generation.

Key facts. Cited by 58 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jun 2017.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 23; 2022: 10; 2023: 15; 2024: 4; 2025: 4; 2026: 2.

58 papers.

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  1. 2021SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequencescited by 159
  2. 2021A Comprehensive Survey of Scene Graphs: Generation and Applicationcited by 125
  3. 2022RelTR: Relation Transformer for Scene Graph Generationcited by 95
  4. 2021Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphscited by 83
  5. 2022Scene Graph Generation: A Comprehensive Surveycited by 73
  6. 2022Relationformer: A Unified Framework for Image-to-Graph Generationcited by 67
  7. 2021Fully Convolutional Scene Graph Generationcited by 57
  8. 2021Learning latent causal graphs via mixture oraclescited by 55
  9. 2021From General to Specific: Informative Scene Graph Generation via Balance Adjustmentcited by 51
  10. 2021Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysiscited by 47
  11. 2024EGTR: Extracting Graph from Transformer for Scene Graph Generationcited by 45
  12. 2021Structured Sparse R-CNN for Direct Scene Graph Generationcited by 44
38 more
  1. 2023SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesiscited by 41
  2. 2021Linguistic Structures as Weak Supervision for Visual Scene Graph Generationcited by 29
  3. 2021Segmentation-grounded Scene Graph Generationcited by 25
  4. 2022Iterative Scene Graph Generationcited by 24
  5. 2023Devil's on the Edges: Selective Quad Attention for Scene Graph Generationcited by 23
  6. 2021Unconditional Scene Graph Generationcited by 22
  7. 2021Exploiting Scene Graphs for Human-Object Interaction Detectioncited by 22
  8. 2021Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integrationcited by 21
  9. 2023Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detectioncited by 15
  10. 2021Semantic Compositional Learning for Low-shot Scene Graph Generationcited by 12
  11. 2024DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generationcited by 11
  12. 2025Universal Scene Graph Generationcited by 11
  13. 2021Radar Camera Fusion via Representation Learning in Autonomous Drivingcited by 9
  14. 2021RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognitioncited by 9
  15. 2022Rethinking the Evaluation of Unbiased Scene Graph Generationcited by 9
  16. 2025Reusing Attention for One-stage Lane Topology Understandingcited by 9
  17. 2021GKNet: grasp keypoint network for grasp candidates detectioncited by 8
  18. 2022One-shot Scene Graph Generationcited by 8
  19. 2023Haystack: A Panoptic Scene Graph Dataset to Evaluate Rare Predicate Classescited by 8
  20. 2021End-to-End Hierarchical Relation Extraction for Generic Form Understandingcited by 7
  21. 2021MIGS: Meta Image Generation from Scene Graphscited by 7
  22. 2023Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledgecited by 7
  23. 2024Towards Lifelong Scene Graph Generation with Knowledge-ware In-context Prompt Learningcited by 6
  24. 2021Scenes and Surroundings: Scene Graph Generation using Relation Transformercited by 5
  25. 2021Hierarchical Lov'asz Embeddings for Proposal-free Panoptic Segmentationcited by 4
  26. 2022Explore Contextual Information for 3D Scene Graph Generationcited by 4
  27. 2022DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulationcited by 4
  28. 2022Relation Regularized Scene Graph Generationcited by 3
  29. 2023Hierarchical Relationships: A New Perspective to Enhance Scene Graph Generationcited by 3
  30. 2023Taking A Closer Look at Visual Relation: Unbiased Video Scene Graph Generation with Decoupled Label Learningcited by 3
  31. 2023LANDMARK: Language-guided Representation Enhancement Framework for Scene Graph Generationcited by 2
  32. 2023Unsupervised Traffic Scene Generation with Synthetic 3D Scene Graphscited by 2
  33. 2023Informative Scene Graph Generation via Debiasingcited by 2
  34. 2023RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generationcited by 2
  35. 2024A Review and Efficient Implementation of Scene Graph Generation Metricscited by 2
  36. 2021Scene Graph Generation for Better Image Captioning?cited by 1
  37. 2022Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generationcited by 1
  38. 2023Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generationcited by 1

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