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h5 指数:49
h5 中位数:94

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#18 Computer Vision & Pattern Recognition

标题/作者	引用次数	年份
Pros and cons of GAN evaluation measures A Borji Computer Vision and Image Understanding 179, 41-65	828	2019
VideoLSTM convolves, attends and flows for action recognition Z Li, K Gavrilyuk, E Gavves, M Jain, CGM Snoek Computer Vision and Image Understanding 166, 41-50	503	2018
Superpixels: An evaluation of the state-of-the-art D Stutz, A Hermans, B Leibe Computer Vision and Image Understanding 166, 1-27	486	2018
Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes M Sabokrou, M Fayyaz, M Fathy, Z Moayed, R Klette Computer Vision and Image Understanding 172, 88-97	442	2018
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking L Wen, D Du, Z Cai, Z Lei, MC Chang, H Qi, J Lim, MH Yang, S Lyu Computer Vision and Image Understanding 193, 102907	434	2020
A survey on deep learning based face recognition G Guo, N Zhang Computer Vision and Image Understanding 189, 102805	367	2019
RGB-D-based human motion recognition with deep learning: A survey P Wang, W Li, P Ogunbona, J Wan, S Escalera Computer Vision and Image Understanding 171, 118-139	359	2018
Deep learning for deepfakes creation and detection: A survey TT Nguyen, QVH Nguyen, DT Nguyen, DT Nguyen, T Huynh-The, ... Computer Vision and Image Understanding 223, 103525	347	2022
Monocular human pose estimation: A survey of deep learning-based methods Y Chen, Y Tian, M He Computer Vision and Image Understanding 192, 102897	312	2020
Getting to know low-light images with the Exclusively Dark dataset YP Loh, CS Chan Computer Vision and Image Understanding 178, 30-42	308	2019
Biometric recognition by gait: A survey of modalities and features P Connor, A Ross Computer Vision and Image Understanding 167, 1-27	227	2018
Looking beyond appearances: Synthetic training data for deep CNNs in re-identification IB Barbosa, M Cristani, B Caputo, A Rognhaugen, T Theoharis Computer Vision and Image Understanding 167, 50-62	213	2018
Anabranch network for camouflaged object segmentation TN Le, TV Nguyen, Z Nie, MT Tran, A Sugimoto Computer Vision and Image Understanding 184, 45-56	188	2019
Video anomaly detection and localization via Gaussian Mixture Fully Convolutional Variational Autoencoder Y Fan, G Wen, D Li, S Qiu, MD Levine, F Xiao Computer Vision and Image Understanding 195, 102920	165	2020
Pyramid Channel-based Feature Attention Network for image dehazing X Zhang, T Wang, J Wang, G Tang, L Zhao Computer Vision and Image Understanding 197, 103003	147	2020
Skeleton-based action recognition via spatial and temporal transformer networks C Plizzari, M Cannici, M Matteucci Computer Vision and Image Understanding 208, 103219	144	2021
Multitask learning for large-scale semantic change detection RC Daudt, B Le Saux, A Boulch, Y Gousseau Computer Vision and Image Understanding 187, 102783	141	2019
CNN-based features for retrieval and classification of food images G Ciocca, P Napoletano, R Schettini Computer Vision and Image Understanding 176, 70-77	120	2018
A survey of advances in vision-based vehicle re-identification SD Khan, H Ullah Computer Vision and Image Understanding 182, 50-63	120	2019
Pros and cons of GAN evaluation measures: New developments A Borji Computer Vision and Image Understanding 215, 103329	118	2022

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