热门出版物 - 学术资源搜索

h5 指数:106
h5 中位数:176

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

#7 Computer Vision & Pattern Recognition

标题/作者	引用次数	年份
Enhanced Deep Residual Networks for Single Image Super-Resolution B Lim, S Son, H Kim, S Nah, KM Lee 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	3672	2017
Curiosity-Driven Exploration by Self-Supervised Prediction D Pathak, P Agrawal, AA Efros, T Darrell 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	1604	2017
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study E Agustsson, R Timofte 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	1539	2017
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation S Jégou, M Drozdzal, D Vazquez, A Romero, Y Bengio 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	1503	2017
CSPNet: A New Backbone that can Enhance Learning Capability of CNN CY Wang, HYM Liao, YH Wu, PY Chen, JW Hsieh, IH Yeh 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	1006	2020
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ... 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	999	2017
Randaugment: Practical automated data augmentation with a reduced search space ED Cubuk, B Zoph, J Shlens, QV Le 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	981	2020
SuperPoint: Self-Supervised Interest Point Detection and Description D DeTone, T Malisiewicz, A Rabinovich 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	896	2018
Bag of Tricks and a Strong Baseline for Deep Person Re-Identification H Luo, Y Gu, X Liao, S Lai, W Jiang 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	645	2019
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization J Tremblay, A Prakash, D Acuna, M Brophy, V Jampani, C Anil, T To, ... 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	550	2018
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving B Wu, A Wan, F Iandola, PH Jin, K Keutzer 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	518	2017
Exposing DeepFake Videos By Detecting Face Warping Artifacts. Y Li, S Lyu CVPR Workshops, 46-52	483	2019
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks TS Kim, A Reiter 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	478	2017
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks X Wang, KCK Chan, K Yu, C Dong, CC Loy 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	473	2019
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images I Demir, K Koperski, D Lindenbaum, G Pang, J Huang, S Basu, F Hughes, ... 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	438	2018
Embodied Question Answering A Das, S Datta, G Gkioxari, S Lee, D Parikh, D Batra 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	431	2018
Multi-level Wavelet-CNN for Image Restoration P Liu, H Zhang, K Zhang, L Lin, W Zuo 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	396	2018
Convolutional Social Pooling for Vehicle Trajectory Prediction N Deo, MM Trivedi 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	390	2018
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction L Zhou, C Zhang, M Wu 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …	376	2018
Intel (R) RealSense (TM) Stereoscopic Depth Cameras L Keselman, JI Woodfill, A Grunnet-Jepsen, A Bhowmik 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops …	375	2017

1 - 20

计算机程序会自动估算并确定日期和引用次数。