Institution · Vi Technology (United States)
Most cited papers from Vi Technology (United States)
What are the most cited papers from Vi Technology (United States)?
The most cited paper from Vi Technology (United States) is "RepVGG: Making VGG-style ConvNets Great Again" (Xiaohan Ding, Xiangyu Zhang, Ningning Ma et al., 2021), with 2,620 citations. Next come "Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs" (1,453) and "Decoupled Knowledge Distillation" (961).
Showing 50 of 60 papers. Every paper with more than 131 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding, Xiangyu Zhang, Ningning Ma et al. | Jun 2021 | 2,620 |
| 2 | 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 |
| 3 | 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 |
| 4 | Circle Loss: A Unified Perspective of Pair Similarity Optimization Yifan Sun, Changmao Cheng, Yuhan Zhang et al. | Jun 2020 | 959 |
| 5 | BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou, Quan Cui, Xiu-Shen Wei et al. | Jun 2020 | 910 |
| 6 | Shape Robust Text Detection With Progressive Scale Expansion Network Wenhai Wang, Enze Xie, Xiang Li et al. | Jun 2019 | 867 |
| 7 | You Only Look One-level Feature Qiang Chen, Ying‐Ming Wang, Tong Yang et al. | Jun 2021 | 791 |
| 8 | 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 |
| 9 | DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation Hanchao Li, Pengfei Xiong, Haoqiang Fan et al. | Jun 2019 | 713 |
| 10 | Objects365: A Large-Scale, High-Quality Dataset for Object Detection Shuai Shao, Zeming Li, Tianyuan Zhang et al. | Oct 2019 | 687 |
| 11 | HINet: Half Instance Normalization Network for Image Restoration Liangyu Chen, Xin Lu, Jie Zhang et al. | Jun 2021 | 643 |
| 12 | Repulsion Loss: Detecting Pedestrians in a Crowd Xinlong Wang, Tete Xiao, Yuning Jiang et al. | Jun 2018 | 618 |
| 13 | Efficient and Accurate Arbitrary-Shaped Text Detection With Pixel Aggregation Network Wenhai Wang, Enze Xie, Xiaoge Song et al. | Oct 2019 | 606 |
| 14 | MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning Zechun Liu, Haoyuan Mu, Xiangyu Zhang et al. | Oct 2019 | 580 |
| 15 | FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun, Banghuai Li, Shengcai Cai et al. | Jun 2021 | 555 |
| 16 | Meta-SR: A Magnification-Arbitrary Network for Super-Resolution Xuecai Hu, Haoyuan Mu, Xiangyu Zhang et al. | Jun 2019 | 525 |
| 17 | Diverse Branch Block: Building a Convolution as an Inception-like Unit Xiaohan Ding, Xiangyu Zhang, Jungong Han et al. | Jun 2021 | 507 |
| 18 | OTA: Optimal Transport Assignment for Object Detection Zheng Ge, Songtao Liu, Zeming Li et al. | Jun 2021 | 501 |
| 19 | 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 |
| 20 | 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 |
| 21 | 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 |
| 22 | 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 |
| 23 | 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 |
| 24 | Multi-oriented Scene Text Detection via Corner Localization and Region Segmentation Pengyuan Lyu, Cong Yao, Wenhao Wu et al. | Jun 2018 | 396 |
| 25 | FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation Yisheng He, Haibin Huang, Haoqiang Fan et al. | Jun 2021 | 380 |
| 26 | PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images Yingfei Liu, Junjie Yan, Fan Jia et al. | Oct 2023 | 367 |
| 27 | Exploring Categorical Regularization for Domain Adaptive Object Detection Chang-Dong Xu, Xing-Ran Zhao, Xin Jin et al. | Jun 2020 | 336 |
| 28 | 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 |
| 29 | Distribution Alignment: A Unified Framework for Long-tail Visual Recognition Songyang Zhang, Zeming Li, Shipeng Yan et al. | Jun 2021 | 303 |
| 30 | Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection Shihao Wang, Yingfei Liu, Tiancai Wang et al. | Oct 2023 | 267 |
| 31 | Learning Human-Object Interaction Detection Using Interaction Points Tiancai Wang, Tong Yang, Martin Danelljan et al. | Jun 2020 | 261 |
| 32 | General Instance Distillation for Object Detection Xing Dai, Zeren Jiang, Zhao Wu et al. | Jun 2021 | 258 |
| 33 | MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors Yuang Zhang, Tiancai Wang, Xiangyu Zhang | Jun 2023 | 252 |
| 34 | Single Path One-Shot Neural Architecture Search with Uniform Sampling Zichao Guo, Xiangyu Zhang, Haoyuan Mu et al. · arXiv (Cornell University) | 31 Mar 2019 | 244 |
| 35 | End-to-End Human Object Interaction Detection with HOI Transformer Cheng Zou, Bohan Wang, Yue Hu et al. | Jun 2021 | 243 |
| 36 | DPGN: Distribution Propagation Graph Network for Few-Shot Learning Ling Qiang Yang, Liangliang Li, Zilun Zhang et al. | Jun 2020 | 241 |
| 37 | NBNet: Noise Basis Learning for Image Denoising with Subspace Projection Shen Cheng, Yuzhi Wang, Haibin Huang et al. | Jun 2021 | 236 |
| 38 | Curriculum Temperature for Knowledge Distillation Zheng Li, Xiang Li, Lingfeng Yang et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 26 Jun 2023 | 229 |
| 39 | Detection in Crowded Scenes: One Proposal, Multiple Predictions Xuangeng Chu, Anlin Zheng, Xiangyu Zhang et al. | Jun 2020 | 226 |
| 40 | End-to-End Object Detection with Fully Convolutional Network Jianfeng Wang, Lin Song, Zeming Li et al. | Jun 2021 | 216 |
| 41 | OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration Hao Xu, Shuaicheng Liu, Guangfu Wang et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 216 |
| 42 | BEVStereo: Enhancing Depth Estimation in Multi-View 3D Object Detection with Temporal Stereo Yinhao Li, Han Bao, Zheng Ge et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 26 Jun 2023 | 215 |
| 43 | Adaptive backstepping control and friction compensation for ac servo with inertia and load uncertainties Yaolong Tan, Jie Chang, Hualin Tan · IEEE Transactions on Industrial Electronics | Oct 2003 | 207 |
| 44 | Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization Shichao Dong, Jin Wang, Renhe Ji et al. | Jun 2023 | 201 |
| 45 | Vehicle Re-Identification With Viewpoint-Aware Metric Learning Ruihang Chu, Yifan Sun, Yadong Li et al. | Oct 2019 | 201 |
| 46 | Generalized Few-Shot Object Detection without Forgetting Zhibo Fan, Yuchen Ma, Zeming Li et al. | Jun 2021 | 194 |
| 47 | Learning Dynamic Routing for Semantic Segmentation Yanwei Li, Lin Song, Yukang Chen et al. | Jun 2020 | 186 |
| 48 | Fully Convolutional Networks for Panoptic Segmentation Yanwei Li, Hengshuang Zhao, Xiaojuan Qi et al. | Jun 2021 | 178 |
| 49 | Activate or Not: Learning Customized Activation Ningning Ma, Xiangyu Zhang, Ming Liu et al. | Jun 2021 | 177 |
| 50 | Cross Modal Transformer: Towards Fast and Robust 3D Object Detection Junjie Yan, Yingfei Liu, Jianjian Sun et al. | Oct 2023 | 174 |
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.