Check computer science papers: citations, claims and retractions

Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 6,612

Towards Deep Learning Models Resistant to Adversarial Attacks

Madry, A., Makelov, A., Schmidt, L., Tsipras, D., & Vladu, A. (2017) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 6,602

Isolation Forest

Liu, F. T., Ting, K. M., & Zhou, Z.-H. (2008) · 2008 Eighth IEEE International Conference on Data Mining

Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification

Cited by 6,601

Deep Learning with Differential Privacy

Abadi, M., Chu, A., Goodfellow, I., McMahan, H. B., Mironov, I., Talwar, K., & Zhang, L. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 6,578

The vision of autonomic computing

Kephart, J. O., & Chess, D. M. (2003) · Computer

Advanced Software Engineering MethodologiesDistributed systems and fault tolerance

Cited by 6,572

The relationship between Precision-Recall and ROC curves

Davis, J., & Goadrich, M. (2006) · Proceedings of the 23rd international conference on Machine learning - ICML '06

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 6,559

Action Research and Minority Problems

Lewin, K. (1946) · Journal of Social Issues

Educational Innovations and TechnologyMathematics Education and Teaching Techniques

Cited by 6,554

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Taigman, Y., Yang, M., Ranzato, M., & Wolf, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Face recognition and analysisFace and Expression Recognition

Cited by 6,542

Communication in the presence of noise

Shannon, C. E. (1949) · Proceedings of the IRE

Error Correcting Code TechniquesAdvanced Signal Processing Techniques

Cited by 6,539

Theory of edge detection

Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences

Image and Object Detection TechniquesVisual perception and processing mechanisms

Cited by 6,510

Factor graphs and the sum-product algorithm

Kschischang, F. R., Frey, B. J., & Loeliger, H.-A. (2001) · IEEE Transactions on Information Theory

Bayesian Modeling and Causal InferenceError Correcting Code Techniques

Cited by 6,486

Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Gal, Y., & Ghahramani, Z. (2015) · arXiv

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 6,471

Structure-from-Motion Revisited

Schonberger, J. L., & Frahm, J.-M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 6,433

Mining frequent patterns without candidate generation

Han, J., Pei, J., & Yin, Y. (2000) · ACM SIGMOD Record

Data Mining Algorithms and ApplicationsAdvanced Database Systems and Queries

Cited by 6,402

The complexity of theorem-proving procedures

Cook, S. A. (1971) · Proceedings of the third annual ACM symposium on Theory of computing - STOC '71

Complexity and Algorithms in GraphsAdvanced Graph Theory Research

Cited by 6,385

Improving neural networks by preventing co-adaptation of feature detectors

Hinton, G. E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R. R. (2012) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 6,382

Opinion mining and sentiment analysis

Pang, B., & Lee, L. (2008) · Foundations and Trends® in Information Retrieval

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 6,372

Measuring Presence in Virtual Environments: A Presence Questionnaire

Witmer, B. G., & Singer, M. J. (1998) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsFlow Experience in Various Fields

Cited by 6,371

Video Google: a text retrieval approach to object matching in videos

Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision

Advanced Image and Video Retrieval TechniquesVideo Analysis and Summarization

Cited by 6,367

Large-Scale Video Classification with Convolutional Neural Networks

Karpathy, A., Toderici, G., Shetty, S., Leung, T., Sukthankar, R., & Fei-Fei, L. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 6,354

Graph drawing by force‐directed placement

Fruchterman, T. M. J., & Reingold, E. M. (1991) · Software: Practice and Experience

Data Visualization and AnalyticsComputer Graphics and Visualization Techniques

Cited by 6,352

Probabilistic roadmaps for path planning in high-dimensional configuration spaces

Kavraki, L. E., Svestka, P., Latombe, J.-C., & Overmars, M. H. (1996) · IEEE Transactions on Robotics and Automation

Robotic Path Planning AlgorithmsReinforcement Learning in Robotics

Cited by 6,343

Analyzing and Improving the Image Quality of StyleGAN

Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., & Aila, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 6,332

Analyzing and Improving the Image Quality of StyleGAN

Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., & Aila, T. (2019) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 6,332