Check computer science papers: citations, claims and retractions

Light field video stabilization

Smith, B. M., Zhang, L., Jin, H., & Agarwala, A. (2009) · 2009 IEEE 12th International Conference on Computer Vision

Image and Video StabilizationAdvanced Vision and Imaging

Cited by 107

Visual SLAM for Automated Driving: Exploring the Applications of Deep Learning

Milz, S., Arbeiter, G., Witt, C., Abdallah, B., & Yogamani, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety

Cited by 107

On the Complexity of Optimal Request Routing and Content Caching in Heterogeneous Cache Networks

Dehghan, M., Jiang, B., Seetharam, A., He, T., Salonidis, T., Kurose, J., Towsley, D., & Sitaraman, R. (2017) · IEEE/ACM Transactions on Networking

Caching and Content DeliveryNetwork Traffic and Congestion Control

Cited by 107

5G New Radio Unlicensed: Challenges and Evaluation

Hirzallah, M., Krunz, M., Kecicioglu, B., & Hamzeh, B. (2021) · IEEE Transactions on Cognitive Communications and Networking

Wireless Networks and ProtocolsCognitive Radio Networks and Spectrum Sensing

Cited by 107

Emotion Recognition for Cognitive Edge Computing Using Deep Learning

Muhammad, G., & Hossain, M. S. (2021) · IEEE Internet of Things Journal

Emotion and Mood RecognitionIoT and Edge/Fog Computing

Cited by 107

Perceptual image hashing based on virtual watermark detection

Khelifi, F., & Jiang, J. (2010) · IEEE Transactions on Image Processing

Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption

Cited by 107

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Yao, S., Chen, H., Yang, J., & Narasimhan, K. (2022) · arXiv

Speech and dialogue systemsMulti-Agent Systems and Negotiation

Cited by 107

Few-Shot Text Generation with Natural Language Instructions

Schick, T., & Schütze, H. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 107

Fast generation of abstracts from general domain text corpora by extracting relevant sentences

Zechner, K. (1996) · Proceedings of the 16th conference on Computational linguistics -

Advanced Text Analysis TechniquesTopic Modeling

Cited by 107

Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models

Arora, D., Singh, H. G., & Mausam (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 107

Prescriptive persuasion and open-ended social awareness: expanding the design space of mobile health

Baumer, E. P. S., Katz, S. J., Freeman, J. E., Adams, P., Gonzales, A. L., Pollak, J., Retelny, D., Niederdeppe, J., Olson, C. M., & Gay, G. K. (2012) · Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 107

Semantic structure from motion with points, regions, and objects

Bao, S. Y., Bagra, M., Chao, Y.-W., & Savarese, S. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 107

Delving Deep into the Generalization of Vision Transformers under Distribution Shifts

Zhang, C., Zhang, M., Zhang, S., Jin, D., Zhou, Q., Cai, Z., Zhao, H., Liu, X., & Liu, Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 107

Virtual Reality in the Treatment of Generalized Anxiety Disorders

Alessandra, G., Federica, P., Davide, A., Claudia, R., Andrea, G., & Giuseppe, R. (2010) · Studies in Health Technology and Informatics

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 107

Regionlets for Generic Object Detection

Wang, X., Yang, M., Zhu, S., & Lin, Y. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 107

Dynamics of online hate and misinformation

Cinelli, M., Pelicon, A., Mozetič, I., Quattrociocchi, W., Novak, P. K., & Zollo, F. (2021) · Scientific Reports

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 107

WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Yao, S., Chen, H., Yang, J., & Narasimhan, K. (2022) · Advances in Neural Information Processing Systems 35

Speech and dialogue systemsMulti-Agent Systems and Negotiation

Cited by 107

Cross-Modal Equivalence of Visual and Auditory Scatterplots for Exploring Bivariate Data Samples

Flowers, J. H., Buhman, D. C., & Turnage, K. D. (1997) · Human Factors: The Journal of the Human Factors and Ergonomics Society

Data Visualization and AnalyticsTactile and Sensory Interactions

Cited by 107

DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation

Hong, S., Moon, S., Kim, J., Lee, S., Kim, M., Lee, D., & Kim, J.-Y. (2022) · 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO)

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 107

On NMT Search Errors and Model Errors: Cat Got Your Tongue?

Stahlberg, F., & Byrne, B. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 107

Frequency spectrum analysis of wrist motion for activities of daily living

Mann, K. A., Wernere, F. W., & Palmer, A. K. (1989) · Journal of Orthopaedic Research

Context-Aware Activity Recognition SystemsOrthopedic Surgery and Rehabilitation

Cited by 107

LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench

Valmeekam, K., Stechly, K., & Kambhampati, S. (2024) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 107

Convolutional auto-encoder for image denoising of ultra-low-dose CT

Nishio, M., Nagashima, C., Hirabayashi, S., Ohnishi, A., Sasaki, K., Sagawa, T., Hamada, M., & Yamashita, T. (2017) · Heliyon

Image and Signal Denoising MethodsRadiation Dose and Imaging

Cited by 106

Defining data librarianship: a survey of competencies, skills, and training

Federer, L. (2018) · Journal of the Medical Library Association

Research Data Management PracticesLibrary Science and Information

Cited by 106