Most cited computer science papers
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Object Localization Based on Proposal Fusion
Tang, S., Li, Y., Deng, L., & Zhang, Y. (2017) · IEEE Transactions on Multimedia
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 25
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Second-Person Authenticity and the Mediating Role of AI: A Moral Challenge for Human-to-Human Relationships?
Battisti, D. (2025) · Philosophy & Technology
Ethics and Social Impacts of AIPhilosophical Ethics and Theory
Cited by 25
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Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
Chu, Z., Chen, J., Chen, Q., Yu, W., He, T., Wang, H., Peng, W., Liu, M., Qin, B., & Liu, T. (2023) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 25
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Quantum random walks and piecewise deterministic evolutions
Blanchard, P., & Hongler, M.-O. (2004) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications
Cited by 25
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Why is AI not a panacea for data workers? an interview study on human-AI collaboration in data storytelling
Li, H., Wang, Y., Liao, Q. V., & Qu, H. (2025) · IEEE Transactions on Visualization and Computer Graphics
Data Visualization and AnalyticsHuman-Automation Interaction and Safety
Cited by 25
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Supporting Metacognition during Exploratory Search with the OrgBox
Crescenzi, A., Ward, A. R., Li, Y., & Capra, R. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
Information Retrieval and Search BehaviorData Visualization and Analytics
Cited by 25
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Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Yang, J., Zhang, H., Li, F., Zou, X., Li, C., & Gao, J. (2023) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 25
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Application-based NGN QoE controller
Sterle, J., Volk, M., Sedlar, U., Bester, J., & Kos, A. (2011) · IEEE Communications Magazine
Image and Video Quality AssessmentNetwork Traffic and Congestion Control
Cited by 25
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Measurement of Hyperion MTF from on-orbit scenes
Nelson, N. R., & Barry, P. S. (2002) · IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)
Satellite Image Processing and PhotogrammetryCalibration and Measurement Techniques
Cited by 25
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Provable bounds for noise-free expectation values computed from noisy samples
Barron, S. V., Egger, D. J., Pelofske, E., Bärtschi, A., Eidenbenz, S., Lehmkuehler, M., & Woerner, S. (2024) · Nature Computational Science
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 25
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Research on WiFi Penetration Testing with Kali Linux
Lu, H.-J., & Yu, Y. (2021) · Complexity
Network Security and Intrusion DetectionWeb Application Security Vulnerabilities
Cited by 25
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Vehicle detection in foggy weather based on an enhanced YOLO method
Li, W. (2022) · Journal of Physics: Conference Series
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 25
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Do deepfakes pose a golden opportunity? Considering whether English law should adopt California’s publicity right in the age of the deepfake
Farish, K. (2020) · Journal of Intellectual Property Law & Practice
Law, AI, and Intellectual PropertyIntellectual Property Rights and Media
Cited by 24
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Scaling Laws and Interpretability of Learning from Repeated Data
Hernandez, D., Brown, T., Conerly, T., DasSarma, N., Drain, D., El-Showk, S., Elhage, N., Hatfield-Dodds, Z., Henighan, T., Hume, T., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 24
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Detecting Incorrect Build Rules
Licker, N., & Rice, A. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 24
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Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Zhai, Y., Tong, S., Li, X., Cai, M., Qu, Q., Lee, Y. J., & Ma, Y. (2023) · arXiv
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 24
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Transferability-Guided Cross-Domain Cross-Task Transfer Learning
Tan, Y., Zhang, E., Li, Y., Huang, S.-L., & Zhang, X.-P. (2025) · IEEE Transactions on Neural Networks and Learning Systems
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 24
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Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data
Liu, X., Bonner, E. R., Jiang, Z., Roth, H. R., Muhammad Anwar, S., Packer, R. J., Bornhorst, M., & Linguraru, M. G. (2023) · 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 24
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Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Hans, A., Schwarzschild, A., Cherepanova, V., Kazemi, H., Saha, A., Goldblum, M., Geiping, J., & Goldstein, T. (2024) · arXiv
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 24
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Crystalline Computation
Margolus, N. (2018) · Feynman and Computation
Cellular Automata and ApplicationsComputability, Logic, AI Algorithms
Cited by 24
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Fast State Restoration in LLM Serving with HCache
Gao, S., Chen, Y., & Shu, J. (2025) · Proceedings of the Twentieth European Conference on Computer Systems
Natural Language Processing TechniquesParallel Computing and Optimization Techniques
Cited by 24
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TaskBench: Benchmarking Large Language Models for Task Automation
Shen, Y., Song, K., Tan, X., Zhang, W., Ren, K., Yuan, S., Lu, W., Li, D., & Zhuang, Y. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 24
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Deep wavelet network with domain adaptation for single image demoiréing
Luo, X., Zhang, J., Hong, M., Qu, Y., Xie, Y., & Li, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Advanced Image Processing TechniquesImage and Signal Denoising Methods
Cited by 24
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Adaptive Information Seeking for Open-Domain Question Answering
Zhu, Y., Pang, L., Lan, Y., Shen, H., & Cheng, X. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Information Retrieval and Search BehaviorTopic Modeling
Cited by 24
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