Multimodal graph inference network for scene graph generation
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02304-7
Abstract: A scene graph can describe images concisely and structurally. However, existing methods of scene graph generation have low capabilities of inferring certain relationships, because of the lack of semantic information and their heavy dependence on… read more here.
Keywords: inference; graph generation; scene graph; graph ... See more keywords
An approach for brain-controlled prostheses based on Scene Graph Steady-State Visual Evoked Potentials
Sign Up to like & getrecommendations! Published in 2018 at "Brain Research"
DOI: 10.1016/j.brainres.2018.05.018
Abstract: Brain control technology can restore communication between the brain and a prosthesis, and choosing a Brain-Computer Interface (BCI) paradigm to evoke electroencephalogram (EEG) signals is an essential step for developing this technology. In this paper,… read more here.
Keywords: scene graph; brain; ssvep; system ... See more keywords
Scene Graph Generation Using Depth, Spatial, and Visual Cues in 2D Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3139000
Abstract: To understand an image or a scene properly, it is necessary to identify objects participating in the scene, their relationships, and various attributes that describe their properties. A scene graph is a high-level representation that… read more here.
Keywords: scene graph; depth spatial; graph generation; using depth ... See more keywords
Towards Open-Set Scene Graph Generation with Unknown Objects
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3145465
Abstract: Scene graph generation (SGG) aims to detect objects and their relationships in an image, thereby enabling a detailed understanding of a complex scene for various real-world applications. In SGG applications such as robot vision, it… read more here.
Keywords: scene graph; graph generation; unknown objects; open set ... See more keywords
Relationship-Aware Unknown Object Detection for Open-Set Scene Graph Generation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3450908
Abstract: Scene graph generation (SGG) aims to detect the relationships of objects in an image. Recently, it has been extended to open-set SGG, which also considers unknown objects unseen in a training phase and thereby enables… read more here.
Keywords: scene graph; detection; set sgg; sgg ... See more keywords
Hierarchical 3-D Scene-Graph-Based Semantic-Metric SLAM for Plant Inspection and Fruit Counting in Intelligent Hydroponics System
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3600531
Abstract: The synergistic development of Internet of Things (IoT), robotics, and artificial intelligence (AI) is reshaping the technological paradigms of interdisciplinary laboratories and industrial ecosystems. IoT-enabled vertical farming systems demonstrate significant advantages, achieving yield enhancement while… read more here.
Keywords: scene graph; system; plant; fruit ... See more keywords
A Scene Graph Encoding and Matching Network for UAV Visual Localization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2024.3396168
Abstract: This article tackles the visual localization of unmanned aerial vehicles (UAVs) in the presence of multisource and cross-view images are involved. We present a lightweight end-to-end scene graph encoding and matching network that finds the… read more here.
Keywords: image; visual localization; scene graph; network ... See more keywords
Long-Sequence Task Planning for Flexible Assembly With Spatio-Temporal Scene Graph
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2025.3628487
Abstract: As the demand for personalized assembly increases, effective assembly task planning continues to present significant challenges, particularly in scenarios with diverse assembly goals and complex dependencies among components. To address these challenges, we propose the… read more here.
Keywords: scene graph; sequence; spatio temporal; temporal scene ... See more keywords
SRSG and S2SG: A Model and a Dataset for Scene Graph Generation of Remote Sensing Images From Segmentation Results
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3185678
Abstract: Remote sensing image analysis has drawn more attentions in the field of computer vision. At present, the methods commonly used in remote sensing image analysis are mainly at a low level semantically. The scene graph… read more here.
Keywords: scene graph; segmentation results; remote sensing; model ... See more keywords
Hierarchical Prototype Learning via Aggregation-Decomposition for Fine-Grained Geospatial Scene Graph Generation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3629400
Abstract: Geospatial scene graph generation (G-SGG) in remote sensing imagery (RSI) aims to identify triplets that reflect interactions among objects on the Earth’s surface. A key challenge in G-SGG is the large intraclass variation of geospatial… read more here.
Keywords: scene graph; prototype learning; prototype; hierarchical prototype ... See more keywords
State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3224872
Abstract: How to avoid biased predictions is an important and active research question in scene graph generation (SGG). Current state-of-the-art methods employ debiasing techniques such as resampling and causality analysis. However, the role of intrinsic cues… read more here.
Keywords: scene graph; graph generation; state; compositional learning ... See more keywords