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08/10/2023
Informative Scene Graph Generation via Debiasing
Scene graph generation aims to detect visual relationship triplets, (sub...
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08/10/2023
Local-Global Information Interaction Debiasing for Dynamic Scene Graph Generation
The task of dynamic scene graph generation (DynSGG) aims to generate sce...
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06/23/2022
Learning To Generate Scene Graph from Head to Tail
Scene Graph Generation (SGG) represents objects and their interactions w...
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04/06/2022
Fine-Grained Predicates Learning for Scene Graph Generation
The performance of current Scene Graph Generation models is severely ham...
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02/22/2022
Exploiting long-term temporal dynamics for video captioning
Automatically describing videos with natural language is a fundamental c...
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02/22/2022
Relation Regularized Scene Graph Generation
Scene graph generation (SGG) is built on top of detected objects to pred...
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02/22/2022
One-shot Scene Graph Generation
As a structured representation of the image content, the visual scene gr...
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09/30/2021
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images
Motion estimation is a fundamental step in dynamic medical image process...
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08/30/2021
From General to Specific: Informative Scene Graph Generation via Balance Adjustment
The scene graph generation (SGG) task aims to detect visual relationship...
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02/28/2020
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
Dynamic medical imaging is usually limited in application due to the lar...
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09/23/2019
Deep Local Global Refinement Network for Stent Analysis in IVOCT Images
Implantation of stents into coronary arteries is a common treatment opti...
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02/13/2019
Automated Segmentation of the Optic Disk and Cup using Dual-Stage Fully Convolutional Networks
Automated segmentation of the optic cup and disk on retinal fundus image...
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08/08/2017
