Check computer science papers: citations, claims and retractions

CornerNet-Lite: Efficient Keypoint Based Object Detection

Law, H., Teng, Y., Russakovsky, O., & Deng, J. (2019) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 172

F 2 Trans: High-Frequency Fine-Grained Transformer for Face Forgery Detection

Miao, C., Tan, Z., Chu, Q., Liu, H., Hu, H., & Yu, N. (2023) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 172

Explainable AI is Dead, Long Live Explainable AI!: Hypothesis-driven Decision Support using Evaluative AI

Miller, T. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 172

An Integration of blockchain and AI for secure data sharing and detection of CT images for the hospitals

Kumar, R., Wang, W., Kumar, J., Yang, T., Khan, A., Ali, W., & Ali, I. (2021) · Computerized Medical Imaging and Graphics

Blockchain Technology Applications and SecurityAI in cancer detection

Cited by 172

Fault-Tolerant quantum computation with constant overhead

Gottesman, D. (2014) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 172

Simple but Effective: CLIP Embeddings for Embodied AI

Khandelwal, A., Weihs, L., Mottaghi, R., & Kembhavi, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsMultimodal Machine Learning Applications

Cited by 172

Automated emotion recognition: Current trends and future perspectives

Maithri, M., Raghavendra, U., Gudigar, A., Samanth, J., Barua, P. D., Murugappan, M., Chakole, Y., & Acharya, U. R. (2022) · Computer Methods and Programs in Biomedicine

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 172

FairTest: Discovering Unwarranted Associations in Data-Driven Applications

Tramer, F., Atlidakis, V., Geambasu, R., Hsu, D., Hubaux, J.-P., Humbert, M., Juels, A., & Lin, H. (2017) · 2017 IEEE European Symposium on Security and Privacy (EuroS&P)

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 171

The effect of facial expressions on peripersonal and interpersonal spaces

Ruggiero, G., Frassinetti, F., Coello, Y., Rapuano, M., di Cola, A. S., & Iachini, T. (2017) · Psychological Research

Virtual Reality Applications and ImpactsEmbodied and Extended Cognition

Cited by 171

Enabling large-scale human activity inference on smartphones using community similarity networks (csn)

Lane, N. D., Xu, Y., Lu, H., Hu, S., Choudhury, T., Campbell, A. T., & Zhao, F. (2011) · Proceedings of the 13th international conference on Ubiquitous computing

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 171

Peripersonal space as the space of the bodily self

Noel, J.-P., Pfeiffer, C., Blanke, O., & Serino, A. (2015) · Cognition

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 171

Disentangled Contrastive Collaborative Filtering

Ren, X., Xia, L., Zhao, J., Yin, D., & Huang, C. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 171

A Berkeley View of Systems Challenges for AI

Stoica, I., Song, D., Popa, R. A., Patterson, D., Mahoney, M. W., Katz, R., Joseph, A. D., Jordan, M., Hellerstein, J. M., Gonzalez, J. E., et al. (2017) · arXiv

Artificial Intelligence ApplicationsAdvanced Neural Network Applications

Cited by 171

Real-time object detection method based on improved YOLOv4-tiny

Jiang, Z., Zhao, L., Li, S., & Jia, Y. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 171

A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

Bai, W., Shi, W., de Marvao, A., Dawes, T. J. W., O’Regan, D. P., Cook, S. A., & Rueckert, D. (2015) · Medical Image Analysis

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 171

Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification

Hu, F., Zhu, Y., Wu, S., Wang, L., & Tan, T. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 171

DDF-SAM 2.0: Consistent distributed smoothing and mapping

Cunningham, A., Indelman, V., & Dellaert, F. (2013) · 2013 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 171

Explanations can be manipulated and geometry is to blame

Dombrowski, A.-K., Alber, M., Anders, C. J., Ackermann, M., Müller, K.-R., & Kessel, P. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 171

Multimodal big data affective analytics: A comprehensive survey using text, audio, visual and physiological signals

Shoumy, N. J., Ang, L.-M., Seng, K. P., Rahaman, D. M. M., & Zia, T. (2020) · Journal of Network and Computer Applications

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 171

QoE in Video Transmission: A User Experience-Driven Strategy

Zhao, T., Liu, Q., & Chen, C. W. (2017) · IEEE Communications Surveys & Tutorials

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 171

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

Xia, F., Shen, W. B., Li, C., Kasimbeg, P., Tchapmi, M. E., Toshev, A., Martin-Martin, R., & Savarese, S. (2020) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 171

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Zhang, Y., Merck, D., Tsai, E., Manning, C. D., & Langlotz, C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingMultimodal Machine Learning Applications

Cited by 171

Generalised Filtering

Friston, K., Stephan, K., Li, B., & Daunizeau, J. (2010) · Mathematical Problems in Engineering

Target Tracking and Data Fusion in Sensor NetworksGaussian Processes and Bayesian Inference

Cited by 171

Unitary Partitioning Approach to the Measurement Problem in the Variational Quantum Eigensolver Method

Izmaylov, A. F., Yen, T.-C., Lang, R. A., & Verteletskyi, V. (2020) · Journal of Chemical Theory and Computation

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 171