Check computer science papers: citations, claims and retractions

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 7,916

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Alzubaidi, L., Zhang, J., Humaidi, A. J., Al-Dujaili, A., Duan, Y., Al-Shamma, O., Santamaría, J., Fadhel, M. A., Al-Amidie, M., & Farhan, L. (2021) · Journal of Big Data

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 7,906

Overcoming catastrophic forgetting in neural networks

Kirkpatrick, J., Pascanu, R., Rabinowitz, N., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al. (2017) · Proceedings of the National Academy of Sciences

Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics

Cited by 7,899

Real-Time Obstacle Avoidance for Manipulators and Mobile Robots

Khatib, O. (1986) · The International Journal of Robotics Research

Robotic Path Planning AlgorithmsReinforcement Learning in Robotics

Cited by 7,894

Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Kim, J., Lee, J. K., & Lee, K. M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesAdvanced Neural Network Applications

Cited by 7,870

Pattern formation outside of equilibrium

Cross, M. C., & Hohenberg, P. C. (1993) · Reviews of Modern Physics

Nonlinear Dynamics and Pattern FormationFluid Dynamics and Turbulent Flows

Cited by 7,859

Advances and Open Problems in Federated Learning

Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K., Charles, Z., Cormode, G., Cummings, R., et al. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 7,857

Mining and summarizing customer reviews

Hu, M., & Liu, B. (2004) · Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Sentiment Analysis and Opinion MiningDigital Marketing and Social Media

Cited by 7,793

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Deng, J., Guo, J., Xue, N., & Zafeiriou, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Face recognition and analysisFace and Expression Recognition

Cited by 7,781

Advances and Open Problems in Federated Learning

Kairouz, P., & McMahan, H. B. (2021) · Foundations and Trends in Machine Learning

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 7,772

Toward principles for the design of ontologies used for knowledge sharing?

Gruber, T. R. (1995) · International Journal of Human-Computer Studies

Semantic Web and OntologiesBiomedical Text Mining and Ontologies

Cited by 7,753

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

Zhou, H., Zhang, S., Peng, J., Zhang, S., Li, J., Xiong, H., & Zhang, W. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingEnergy Load and Power Forecasting

Cited by 7,752

Deep Learning Face Attributes in the Wild

Liu, Z., Luo, P., Wang, X., & Tang, X. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Face recognition and analysisFace and Expression Recognition

Cited by 7,747

Multi-scale context aggregation by dilated convolutions

Yu, F., & Koltun, V. (2015) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 7,738

Good features to track

Shi, J., & Tomasi (1994) · Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 7,724

Quantum supremacy using a programmable superconducting processor

Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., Biswas, R., Boixo, S., Brandao, F. G. S. L., Buell, D. A., et al. (2019) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 7,720

A Non-Local Algorithm for Image Denoising

Buades, A., Coll, B., & Morel, J.-M. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 7,616

Single image haze removal using dark channel prior

He, K., Sun, J., & Tang, X. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Image Enhancement TechniquesImage Processing Techniques and Applications

Cited by 7,601

Maintaining knowledge about temporal intervals

Allen, J. F. (1983) · Communications of the ACM

Logic, Reasoning, and KnowledgeConstraint Satisfaction and Optimization

Cited by 7,593

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Shi, W., Caballero, J., Huszar, F., Totz, J., Aitken, A. P., Bishop, R., Rueckert, D., & Wang, Z. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesAdvanced Neural Network Applications

Cited by 7,570

ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education

Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., et al. (2023) · Learning and Individual Differences

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 7,552

Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields

Cao, Z., Simon, T., Wei, S.-E., & Sheikh, Y. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 7,539

A vector space model for automatic indexing

Salton, G., Wong, A., & Yang, C. S. (1975) · Communications of the ACM

Information Retrieval and Search BehaviorAlgorithms and Data Compression

Cited by 7,521

Rethinking Atrous Convolution for Semantic Image Segmentation

Chen, L.-C., Papandreou, G., Schroff, F., & Adam, H. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 7,517