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Joint learning of object graph and relation graph for visual question
  answering

Joint learning of object graph and relation graph for visual question answering

IEEE International Conference on Multimedia and Expo (ICME), 2022
9 May 2022
Hao Li
Xu Li
Belhal Karimi
Jie Chen
Mingming Sun
    GNN
ArXiv (abs)PDFHTML

Papers citing "Joint learning of object graph and relation graph for visual question answering"

5 / 5 papers shown
Title
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
DiffusionRet: Generative Text-Video Retrieval with Diffusion ModelIEEE International Conference on Computer Vision (ICCV), 2023
Peng Jin
Hao Li
Ze-Long Cheng
Kehan Li
Xiang Ji
Chang-rui Liu
Li-ming Yuan
Jie Chen
DiffMVGen
281
80
0
17 Mar 2023
FTM: A Frame-level Timeline Modeling Method for Temporal Graph
  Representation Learning
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Bowen Cao
Qichen Ye
Weiyuan Xu
Yuexian Zou
219
1
0
23 Feb 2023
Expectation-Maximization Contrastive Learning for Compact
  Video-and-Language Representations
Expectation-Maximization Contrastive Learning for Compact Video-and-Language RepresentationsNeural Information Processing Systems (NeurIPS), 2022
Peng Jin
Jinfa Huang
Fenglin Liu
Xian Wu
Shen Ge
Guoli Song
David Clifton
Jing Chen
VLM
256
83
0
21 Nov 2022
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question
  Answering
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question AnsweringIEEE Transactions on Image Processing (IEEE TIP), 2022
Hao Li
Jinfa Huang
Peng Jin
Guoli Song
Qi Wu
Jie Chen
329
27
0
21 Sep 2022
Locality Guidance for Improving Vision Transformers on Tiny Datasets
Locality Guidance for Improving Vision Transformers on Tiny DatasetsEuropean Conference on Computer Vision (ECCV), 2022
Kehan Li
Runyi Yu
Zhennan Wang
Li-ming Yuan
Guoli Song
Jie Chen
ViT
137
52
0
20 Jul 2022
1