Institution · Megvii (China)
Most cited papers from Megvii (China)
What are the most cited papers from Megvii (China)?
The most cited paper from Megvii (China) is "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices" (Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin et al., 2018), with 9,334 citations. Next come "ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design" (6,903) and "BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation" (2,862).
Showing 50 of 57 papers. Every paper with more than 244 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin et al. | Jun 2018 | 9,334 |
| 2 | ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng et al. · Lecture notes in computer science | 2018 | 6,903 |
| 3 | BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation Changqian Yu, Jingbo Wang, Chao Peng et al. · Lecture notes in computer science | 2018 | 2,862 |
| 4 | RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding, Xiangyu Zhang, Ningning Ma et al. | Jun 2021 | 2,620 |
| 5 | Channel Pruning for Accelerating Very Deep Neural Networks Yihui He, Xiangyu Zhang, Jian Zhong Sun | Oct 2017 | 2,587 |
| 6 | Unified Perceptual Parsing for Scene Understanding Tete Xiao, Yingcheng Liu, Bolei Zhou et al. · Lecture notes in computer science | 2018 | 2,103 |
| 7 | EAST: An Efficient and Accurate Scene Text Detector Xinyu Zhou, Cong Yao, He Wen et al. | Jul 2017 | 1,854 |
| 8 | Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network Chao Peng, Xiangyu Zhang, Gang Yu et al. | Jul 2017 | 1,737 |
| 9 | UnitBox Jiahui Yu, Yuning Jiang, Zhangyang Wang et al. | 29 Sep 2016 | 1,629 |
| 10 | Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs Xiaohan Ding, Xiangyu Zhang, Jungong Han et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 1,453 |
| 11 | Scale-Recurrent Network for Deep Image Deblurring Xin Tao, Hongyun Gao, Xiaoyong Shen et al. | Jun 2018 | 1,365 |
| 12 | Simple Baselines for Image Restoration Liangyu Chen, Xiaojie Chu, Xiangyu Zhang et al. · Lecture notes in computer science | 2022 | 1,333 |
| 13 | Multi-Label Image Recognition With Graph Convolutional Networks Zhao-Min Chen, Xiu-Shen Wei, Peng Wang et al. | Jun 2019 | 1,265 |
| 14 | Acquisition of Localization Confidence for Accurate Object Detection Borui Jiang, Ruixuan Luo, Jiayuan Mao et al. · Lecture notes in computer science | 2018 | 1,057 |
| 15 | Decoupled Knowledge Distillation Borui Zhao, Quan Cui, Renjie Song et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 961 |
| 16 | Circle Loss: A Unified Perspective of Pair Similarity Optimization Yifan Sun, Changmao Cheng, Yuhan Zhang et al. | Jun 2020 | 959 |
| 17 | BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou, Quan Cui, Xiu-Shen Wei et al. | Jun 2020 | 910 |
| 18 | Learning a Discriminative Feature Network for Semantic Segmentation Changqian Yu, Jingbo Wang, Chao Peng et al. | Jun 2018 | 875 |
| 19 | You Only Look One-level Feature Qiang Chen, Ying‐Ming Wang, Tong Yang et al. | Jun 2021 | 791 |
| 20 | BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection Yinhao Li, Zheng Ge, Guanyi Yu et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 26 Jun 2023 | 757 |
| 21 | Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo, Xiangyu Zhang, Haoyuan Mu et al. · Lecture notes in computer science | 2020 | 716 |
| 22 | DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation Hanchao Li, Pengfei Xiong, Haoqiang Fan et al. | Jun 2019 | 713 |
| 23 | Objects365: A Large-Scale, High-Quality Dataset for Object Detection Shuai Shao, Zeming Li, Tianyuan Zhang et al. | Oct 2019 | 687 |
| 24 | MOTR: End-to-End Multiple-Object Tracking with Transformer Fangao Zeng, Bin Dong, Yuang Zhang et al. · Lecture notes in computer science | 2022 | 661 |
| 25 | HINet: Half Instance Normalization Network for Image Restoration Liangyu Chen, Xin Lu, Jie Zhang et al. | Jun 2021 | 643 |
| 26 | PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation Yisheng He, Wei Min Sun, Haibin Huang et al. | Jun 2020 | 610 |
| 27 | Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network Wenhai Wang, Enze Xie, Xiaoge Song et al. | Oct 2019 | 606 |
| 28 | Bounding Box Regression With Uncertainty for Accurate Object Detection Yihui He, Chenchen Zhu, Jianren Wang et al. | Jun 2019 | 602 |
| 29 | ExFuse: Enhancing Feature Fusion for Semantic Segmentation Zhenli Zhang, Xiangyu Zhang, Chao Peng et al. · Lecture notes in computer science | 2018 | 594 |
| 30 | MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu, Haoyuan Mu, Xiangyu Zhang et al. | Oct 2019 | 580 |
| 31 | Detail-Revealing Deep Video Super-Resolution Xin Tao, Hongyun Gao, Renjie Liao et al. | Oct 2017 | 577 |
| 32 | FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun, Banghuai Li, Shengcai Cai et al. | Jun 2021 | 555 |
| 33 | Meta-SR: A Magnification-Arbitrary Network for Super-Resolution Xuecai Hu, Haoyuan Mu, Xiangyu Zhang et al. | Jun 2019 | 525 |
| 34 | Diverse Branch Block: Building a Convolution as an Inception-like Unit Xiaohan Ding, Xiangyu Zhang, Jungong Han et al. | Jun 2021 | 507 |
| 35 | OTA: Optimal Transport Assignment for Object Detection Zheng Ge, Songtao Liu, Zeming Li et al. | Jun 2021 | 501 |
| 36 | High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification Guan’an Wang, Shuo Yang, Huanyu Liu et al. | Jun 2020 | 499 |
| 37 | Deep Learning with Low Precision by Half-Wave Gaussian Quantization Zhaowei Cai, Xiaodong He, Jian Sun et al. | Jul 2017 | 487 |
| 38 | Anchor DETR: Query Design for Transformer-Based Detector Ying‐Ming Wang, Xiangyu Zhang, Tong Yang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 28 Jun 2022 | 486 |
| 39 | Scene Text Detection and Recognition: The Deep Learning Era Shangbang Long, Xin James He, Cong Yao · International Journal of Computer Vision | 27 Aug 2020 | 473 |
| 40 | DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image Jiaxiong Qiu, Zhaopeng Cui, Yinda Zhang et al. | Jun 2019 | 420 |
| 41 | TokenPose: Learning Keypoint Tokens for Human Pose Estimation Yanjie Li, Shoukui Zhang, Zhicheng Wang et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 411 |
| 42 | Perceive Where to Focus: Learning Visibility-Aware Part-Level Features for Partial Person Re-Identification Yifan Sun, Qin Xu, Yali Li et al. | Jun 2019 | 404 |
| 43 | FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation Yisheng He, Haibin Huang, Haoqiang Fan et al. | Jun 2021 | 380 |
| 44 | Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade Erjin Zhou, Haoqiang Fan, Zhimin Cao et al. | Dec 2013 | 374 |
| 45 | PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images Yingfei Liu, Junjie Yan, Fan Jia et al. | Oct 2023 | 367 |
| 46 | DetNet: Design Backbone for Object Detection Zeming Li, Chao Peng, Gang Yu et al. · Lecture notes in computer science | 2018 | 353 |
| 47 | Exploring Categorical Regularization for Domain Adaptive Object Detection Chang-Dong Xu, Xing-Ran Zhao, Xin Jin et al. | Jun 2020 | 336 |
| 48 | What Can Help Pedestrian Detection? Jiayuan Mao, Tete Xiao, Yuning Jiang et al. | Jul 2017 | 322 |
| 49 | Focal Sparse Convolutional Networks for 3D Object Detection Yukang Chen, Yanwei Li, Xiangyu Zhang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 321 |
| 50 | Data Uncertainty Learning in Face Recognition Jie Chang, Zhonghao Lan, Changmao Cheng et al. | Jun 2020 | 304 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.