Keyword

visual grounding

Description: A task in computer vision and multimodal artificial intelligence that identifies image regions corresponding to linguistic expressions or queries.

Primary topic: Multimodal Machine Learning Applications (70%)

OpenAlex ID: keywords/visual-grounding

Transformers in Vision: A Survey

2022 · Salman Khan, Muzammal Naseer, et al. · ACM Computing Surveys · 3,582

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Microsoft COCO: Common Objects in Context

2014 · Lin, Tsung-Yi, Maire, Michael, et al. · arXiv (Cornell University) · 2,575

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Visual Instruction Tuning

2023 · Haotian Liu, Chunyuan Li, et al. · neural information processing systems · 2,372

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

2019 · Lu, Jiasen, Batra, Dhruv, et al. · arXiv (Cornell University) · 2,111

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Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

2016 · Akira Fukui, Dong Huk Park, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1,581

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Scene Graph Generation by Iterative Message Passing

2017 · Danfei Xu, Yuke Zhu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,269

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Generation and Comprehension of Unambiguous Object Descriptions

2016 · Junhua Mao, Jonathan Huang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,214

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VisualBERT: A Simple and Performant Baseline for Vision and Language

2019 · Li, Liunian Harold, Yatskar, Mark, et al. · arXiv (Cornell University) · 1,198

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MAttNet: Modular Attention Network for Referring Expression Comprehension

2018 · Licheng Yu, Zhe Lin, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 857

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Grounded Compositional Semantics for Finding and Describing Images with Sentences

2014 · Richard Socher, Andrej Karpathy, et al. · Transactions of the Association for Computational Linguistics · 779

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ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

2019 · Jiasen Lu, Dhruv Batra, et al. · neural information processing systems · 772

Dynamic Memory Networks for Visual and Textual Question Answering

2016 · Xiong, Caiming, Merity, Stephen, et al. · arXiv (Cornell University) · 652

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Cross-Modal Self-Attention Network for Referring Image Segmentation

2019 · Linwei Ye, Mrigank Rochan, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 549

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Learning Two-Branch Neural Networks for Image-Text Matching Tasks

2018 · Liwei Wang, Yin Li, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 541

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Modeling Context Between Objects for Referring Expression Understanding

2016 · Varun K. Nagaraja, Vlad I. Morariu, et al. · Lecture notes in computer science · 450

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A Fast and Accurate One-Stage Approach to Visual Grounding

2019 · Zhengyuan Yang, Boqing Gong, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 430

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OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

2022 · Wang, Peng, Yang, An, et al. · arXiv (Cornell University) · 421

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Neural Baby Talk

2018 · Jiasen Lu, Jianwei Yang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 412

12-in-1: Multi-Task Vision and Language Representation Learning

2020 · Jiasen Lu, Vedanuj Goswami, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 411

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TransVG: End-to-End Visual Grounding with Transformers

2021 · Jiajun Deng, Zhengyuan Yang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 399

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Modeling Relationships in Referential Expressions with Compositional Modular Networks

2017 · Ronghang Hu, Marcus Rohrbach, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 387

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Learning Semantic Concepts and Order for Image and Sentence Matching

2018 · Yan Huang, Qi Wu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 352

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Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks

2024 · Bin Xiao, Haiping Wu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 305

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Learning to Assemble Neural Module Tree Networks for Visual Grounding

2019 · Daqing Liu, Hanwang Zhang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 304

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GPS-Net: Graph Property Sensing Network for Scene Graph Generation

2020 · Xin Lin, Changxing Ding, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 298

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Works count: 3,732

Citation count: 51,940