Check computer science papers: citations, claims and retractions

Encoding Color Information for Visual Tracking: Algorithms and Benchmark

Liang, P., Blasch, E., & Ling, H. (2015) · IEEE Transactions on Image Processing

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 726

The Akamai network: a platform for high-performance internet applications

Nygren, E., Sitaraman, R. K., & Sun, J. (2010) · ACM SIGOPS Operating Systems Review

Caching and Content DeliveryDistributed and Parallel Computing Systems

Cited by 726

An empirical survey of data augmentation for time series classification with neural networks

Iwana, B. K., & Uchida, S. (2021) · PLOS ONE

Time Series Analysis and ForecastingMusic and Audio Processing

Cited by 725

Leveraging Linguistic Structure For Open Domain Information Extraction

Angeli, G., Johnson Premkumar, M. J., & Manning, C. D. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 725

End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion

Shang, C., Tang, Y., Huang, J., Bi, J., He, X., & Zhou, B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 725

Spatial search by quantum walk

Childs, A. M., & Goldstone, J. (2004) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 725

Representation Learning of Knowledge Graphs with Entity Descriptions

Xie, R., Liu, Z., Jia, J., Luan, H., & Sun, M. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 725

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Chan, C.-M., Chen, W., Su, Y., Yu, J., Xue, W., Zhang, S., Fu, J., & Liu, Z. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 725

Objaverse: A Universe of Annotated 3D Objects

Deitke, M., Schwenk, D., Salvador, J., Weihs, L., Michel, O., VanderBilt, E., Schmidt, L., Ehsanit, K., Kembhavi, A., & Farhadi, A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 725

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-Supervised Object and Action Localization

Singh, K. K., & Lee, Y. J. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 724

Similarity of Neural Network Representations Revisited

Kornblith, S., Norouzi, M., Lee, H., & Hinton, G. (2019) · arXiv

Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 724

A Survey of Man in the Middle Attacks

Conti, M., Dragoni, N., & Lesyk, V. (2016) · IEEE Communications Surveys & Tutorials

Advanced Authentication Protocols SecurityNetwork Security and Intrusion Detection

Cited by 724

Trusted Execution Environment: What It is, and What It is Not

Sabt, M., Achemlal, M., & Bouabdallah, A. (2015) · 2015 IEEE Trustcom/BigDataSE/ISPA

Security and Verification in ComputingDistributed systems and fault tolerance

Cited by 724

Align Your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Blattmann, A., Rombach, R., Ling, H., Dockhorn, T., Kim, S. W., Fidler, S., & Kreis, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 724

Applications for deep learning in ecology

Christin, S., Hervet, É., & Lecomte, N. (2019) · Methods in Ecology and Evolution

Advanced Neural Network ApplicationsWildlife Ecology and Conservation

Cited by 724

Classifier Technology and the Illusion of Progress

Hand, D. J. (2006) · Statistical Science

Machine Learning and Data ClassificationStatistical Methods and Applications

Cited by 723

Multi-Task Multi-Sensor Fusion for 3D Object Detection

Liang, M., Yang, B., Chen, Y., Hu, R., & Urtasun, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 723

Dimensionality Reduction for Supervised Learning With Reproducing Kernel Hilbert Spaces

Fukumizu, K., Bach, F. R., & Jordan, M. I. (2003)

Face and Expression RecognitionStatistical Methods and Applications

Cited by 723

MelGAN: generative adversarial networks for conditional waveform synthesis

Kumar, K., Kumar, R., de Boissiere, T., Gestin, L., Teoh, W. Z., Sotelo, J., de Brebisson, A., Bengio, Y., & Courville, A. (2019) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 722

Local Shannon entropy measure with statistical tests for image randomness

Wu, Y., Zhou, Y., Saveriades, G., Agaian, S., Noonan, J. P., & Natarajan, P. (2013) · Information Sciences

Chaos-based Image/Signal EncryptionImage and Video Quality Assessment

Cited by 722

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Huang, J., Chang, Y., Cheng, X., Kamps, J., Murdock, V., Wen, J.-R., & Liu, Y. (2020)

Information Retrieval and Search BehaviorAlgorithms and Data Compression

Cited by 722

A mobile vision system for robust multi-person tracking

Ess, A., Leibe, B., Schindler, K., & Van Gool, L. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsRobotics and Sensor-Based Localization

Cited by 721

Geodesic Convolutional Neural Networks on Riemannian Manifolds

Masci, J., Boscaini, D., Bronstein, M. M., & Vandergheynst, P. (2015) · 2015 IEEE International Conference on Computer Vision Workshop (ICCVW)

3D Shape Modeling and AnalysisTopological and Geometric Data Analysis

Cited by 721

A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities

Song, Y., Wang, T., Cai, P., Mondal, S. K., & Sahoo, J. P. (2023) · ACM Computing Surveys

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 721