Iterative Visual Reasoning Beyond Convolutions

Deep Residual Learning for Image Recognition

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U-Net: Convolutional Networks for Biomedical Image Segmentation

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Ren, S., He, K., Girshick, R., & Sun, J. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2016.2577031 · Cited by 56,035 · see citing works

Microsoft COCO: Common Objects in Context

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ImageNet Large Scale Visual Recognition Challenge

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Feature Pyramid Networks for Object Detection

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Semi-supervised classification with graph convolutional networks

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The pascal visual object classes (VOC) challenge

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Visualizing and understanding convolutional networks

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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

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The graph neural network model

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Item-based collaborative filtering recommendation algorithms

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Stacked Hourglass Networks for Human Pose Estimation

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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.-J., Shamma, D. A., et al. (2017) · International Journal of Computer Vision · doi:10.1007/s11263-016-0981-7 · Cited by 5,107 · see citing works

The symbol grounding problem

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The link‐prediction problem for social networks

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One-shot learning of object categories

Fei-Fei, L., Fergus, R., & Perona, P. (2006) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2006.79 · Cited by 3,029 · see citing works

Convolutional Pose Machines

Wei, S.-E., Ramakrishna, V., Kanade, T., & Sheikh, Y. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.511 · Cited by 2,966 · see citing works

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Krähenbühl, P., & Koltun, V. (2012) · arXiv · doi:10.48550/arxiv.1210.5644 · Cited by 2,908 · see citing works

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Sun, C., Shrivastava, A., Singh, S., & Gupta, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.97 · Cited by 2,484 · see citing works

Unbiased look at dataset bias

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Stacked Attention Networks for Image Question Answering

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Describing objects by their attributes

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Semantic Understanding of Scenes Through the ADE20K Dataset

Zhou, B., Zhao, H., Puig, X., Xiao, T., Fidler, S., Barriuso, A., & Torralba, A. (2019) · International Journal of Computer Vision · doi:10.1007/s11263-018-1140-0 · Cited by 1,831 · see citing works

Attention to Scale: Scale-Aware Semantic Image Segmentation

Chen, L.-C., Yang, Y., Wang, J., Xu, W., & Yuille, A. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.396 · Cited by 1,462 · see citing works

Physical Symbol Systems

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Scene Graph Generation by Iterative Message Passing

Xu, D., Zhu, Y., Choy, C. B., & Fei-Fei, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.330 · Cited by 1,271 · see citing works

Deep Convolutional Networks on Graph-Structured Data

Henaff, M., Bruna, J., & LeCun, Y. (2015) · arXiv · doi:10.48550/arxiv.1506.05163 · Cited by 1,255 · see citing works

Interpretation as abduction

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Visual Relationship Detection with Language Priors

Lu, C., Krishna, R., Bernstein, M. S., & Fei-Fei, L. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46448-0_51 · Cited by 1,118 · see citing works

Image retrieval using scene graphs

Johnson, J., Krishna, R., Stark, M., Li, L.-J., Shamma, D. A., Bernstein, M. S., & Fei-Fei, L. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298990 · Cited by 1,101 · see citing works

Scene perception: Detecting and judging objects undergoing relational violations

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Relative attributes

Parikh, D., & Grauman, K. (2011) · International Conference on Computer Vision · doi:10.1109/iccv.2011.6126281 · Cited by 901 · see citing works

FastText.zip: Compressing text classification models

Joulin, A., Grave, E., Bojanowski, P., Douze, M., Jégou, H., & Mikolov, T. (2016) · arXiv · doi:10.48550/arxiv.1612.03651 · Cited by 887 · see citing works

Context-based vision system for place and object recognition

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Human Pose Estimation with Iterative Error Feedback

Carreira, J., Agrawal, P., Fragkiadaki, K., & Malik, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.512 · Cited by 805 · see citing works

Dynamic Memory Networks for Visual and Textual Question AnsweringPreprint

Xiong, C., Merity, S., & Socher, R. (2016) · International Conference on Machine Learning · doi:10.48550/arxiv.1603.01417 · Cited by 770 · see citing works

Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

Tu, Z., & Bai, X. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.186 · Cited by 578 · see citing works

Diagnosing Error in Object Detectors

Hoiem, D., Chodpathumwan, Y., & Dai, Q. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33712-3_25 · Cited by 520 · see citing works

An empirical study of context in object detection

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Random Walk Inference and Learning in A Large Scale Knowledge Base

Lao, N., Mitchell, T. M., & Cohen, W. W. (2018) · Figshare · doi:10.1184/r1/6476267 · Cited by 479 · see citing works

NEIL: Extracting Visual Knowledge from Web Data

Chen, X., Shrivastava, A., & Gupta, A. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.178 · Cited by 408 · see citing works

Large-Scale Object Classification Using Label Relation Graphs

Deng, J., Ding, N., Jia, Y., Frome, A., Murphy, K. P., Samy Bengio, A., Li, Y., Neven, H., & Adam, H. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10590-1_4 · Cited by 371 · see citing works

Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources

Wu, Q., Wang, P., Shen, C., Dick, A., & van den Hengel, A. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.500 · Cited by 362 · see citing works

The More You Know: Using Knowledge Graphs for Image Classification

Marino, K., Salakhutdinov, R., & Gupta, A. (2017) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2017.10 · Cited by 331 · see citing works

Beyond Skip Connections: Top-Down Modulation for Object DetectionPreprint

Shrivastava, A., Sukthankar, R., Malik, J., & Gupta, A. K. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1612.06851 · Cited by 315 · see citing works

Learning Everything about Anything: Webly-Supervised Visual Concept Learning

Divvala, S. K., Farhadi, A., & Guestrin, C. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.412 · Cited by 267 · see citing works

Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image AnnotationsPreprint

Krishna, R., Zhu, Y., Groth, O., et al. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1602.07332 · Cited by 248 · see citing works

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks

Das, R., Neelakantan, A., Belanger, D., & McCallum, A. (2017) · Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/e17-1013 · Cited by 239 · see citing works

Discriminative Models for Multi-Class Object Layout

Desai, C., Ramanan, D., & Fowlkes, C. C. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0439-x · Cited by 208 · see citing works

Semantic Understanding of Scenes through the ADE20K DatasetPreprint

Zhou, B., Zhao, H., Puig, X., et al. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1608.05442 · Cited by 190 · see citing works

Spatial Memory for Context Reasoning in Object Detection

Chen, X., & Gupta, A. (2017) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2017.440 · Cited by 172 · see citing works

Deep Neural Networks with Massive Learned Knowledge

Hu, Z., Yang, Z., Salakhutdinov, R., et al. (2016) · Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/d16-1173 · Cited by 83 · see citing works

Top-Down Learning for Structured Labeling with Convolutional Pseudoprior

Xie, S., Huang, X., & Tu, Z. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46493-0_19 · Cited by 41 · see citing works

Building a Large-scale Multimodal Knowledge Base System for Answering Visual QueriesPreprint

Zhu, Y., Zhang, C., Ré, C., & Fei-Fei, L. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1507.05670 · Cited by 36 · see citing works

Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

Chen, T., Wang, Z., Li, L., Li, D., Li, Z., Chang, X., Bian, P., Liang, G., Wang, Q., & Xie, T. (2025) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik · doi:10.4230/lipics.ecoop.2025.6

A Comprehensive Survey on Graph Neural Networks

Wu, Z., Pan, S., Chen, F., Long, G., Zhang, C., & Yu, P. S. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2020.2978386 · Cited by 11,000 · see citing works

Graph neural networks: A review of methods and applications

Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2020) · AI Open · doi:10.1016/j.aiopen.2021.01.001 · Cited by 6,880 · see citing works

MUREL: Multimodal Relational Reasoning for Visual Question Answering

Cadene, R., Ben-younes, H., Cord, M., & Thome, N. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00209 · Cited by 330 · see citing works

Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

Xu, A., Yao, A., Li, A., Liang, A., & Zhang, A. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00675 · Cited by 228 · see citing works

Visual Semantic Information Pursuit: A Survey

Liu, D., Bober, M., & Kittler, J. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2019.2950025 · Cited by 39 · see citing works

Multi-Modal Dynamic Graph Transformer for Visual Grounding

Chen, S., & Li, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52688.2022.01509 · Cited by 28 · see citing works

Untitled work

Wu (2021) · doi:10.1523/eneuro.0267-20.2020 · Cited by 6 · see citing works

Explainable and Explicit Visual Reasoning Over Scene Graphs

Shi, J., Zhang, H., & Li, J. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00857 · Cited by 234 · see citing works

SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense ReasoningPreprint

Wang, Z., You, H., Li, L. H., et al. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2112.08587

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction

Liu, B., Adeli, E., Cao, Z., Lee, K.-H., Shenoi, A., Gaidon, A., & Niebles, J. C. (2020) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2020.2976305 · Cited by 196 · see citing works

Common Sense Knowledge Infusion for Visual Understanding and Reasoning: Approaches, Challenges, and Applications

Khan, M. J., Breslin, J. G., & Curry, E. (2022) · IEEE Internet Computing · doi:10.1109/mic.2022.3176500 · Cited by 12 · see citing works

It's Not About the Journey; It's About the Destination: Following Soft Paths Under Question-Guidance for Visual Reasoning

Haurilet, M., Roitberg, A., & Stiefelhagen, R. (2019) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2019.00203 · Cited by 18 · see citing works