Graph Neural Networks in Vision-Language Image Understanding: A Survey

7 March 2023

Papers citing "Graph Neural Networks in Vision-Language Image Understanding: A Survey"

10 / 10 papers shown

Title
De-Diffusion Makes Text a Strong Cross-Modal Interface Chen Wei Chenxi Liu Siyuan Qiao Zhishuai Zhang Alan Yuille Jiahui Yu VLM DiffM 29 10 0 01 Nov 2023
Transforming Visual Scene Graphs to Image Captions Xu Yang Jiawei Peng Zihua Wang Haiyang Xu Qinghao Ye Chenliang Li Mingshi Yan Feisi Huang Zhangzikang Li Yu Zhang 37 18 0 03 May 2023
ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments Dongyan An H. Wang Wenguan Wang Zun Wang Yan Huang Keji He Liang Wang 50 61 0 06 Apr 2023
CLIP-Diffusion-LM: Apply Diffusion Model on Image Captioning Shi-You Xu VLM DiffM 24 11 0 10 Oct 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching B. Chamberlain S. Shirobokov Emanuele Rossi Fabrizio Frasca Thomas Markovich Nils Y. Hammerla Michael M. Bronstein Max Hansmire 42 75 0 30 Sep 2022
Gender and Racial Bias in Visual Question Answering Datasets Yusuke Hirota Yuta Nakashima Noa Garcia FaML 119 46 0 17 May 2022
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning Xinzhi Dong Chengjiang Long Wenju Xu Chunxia Xiao ViT 69 66 0 05 Aug 2021
A survey on VQA_Datasets and Approaches Yeyun Zou Qiyu Xie 40 18 0 02 May 2021
Comprehensive Image Captioning via Scene Graph Decomposition Yiwu Zhong Liwei Wang Jianshu Chen Dong Yu Yin Li 79 123 0 23 Jul 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 139 731 0 02 Mar 2020