Institution · Group Sense (China)
Most cited papers from Group Sense (China)
What are the most cited papers from Group Sense (China)?
The most cited paper from Group Sense (China) is "Pyramid Scene Parsing Network" (Hengshuang Zhao, Jianping Shi, Xiaojuan Qi et al., 2017), with 15,943 citations. Next come "Residual Attention Network for Image Classification" (3,806) and "High Performance Visual Tracking with Siamese Region Proposal Network" (3,035).
Showing 50 of 61 papers. Every paper with more than 405 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Pyramid Scene Parsing Network Hengshuang Zhao, Jianping Shi, Xiaojuan Qi et al. | Jul 2017 | 15,943 |
| 2 | Residual Attention Network for Image Classification Fei Wang, Mengqing Jiang, Chen Qian et al. | Jul 2017 | 3,806 |
| 3 | High Performance Visual Tracking with Siamese Region Proposal Network Bo Hu Li, Junjie Yan, Wei Wu et al. | Jun 2018 | 3,035 |
| 4 | SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks Bo Li, Wei Wu, Qiang Wang et al. | Jun 2019 | 2,563 |
| 5 | PVT v2: Improved baselines with pyramid vision transformer Wenhai Wang, Enze Xie, Xiang Li et al. · Computational Visual Media | 16 Mar 2022 | 2,391 |
| 6 | DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations Ziwei Liu, Ping Luo, Shi Qiu et al. | Jun 2016 | 1,944 |
| 7 | Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu, Weijie Su, Lewei Lu et al. · arXiv (Cornell University) | 8 Oct 2020 | 1,868 |
| 8 | Libra R-CNN: Towards Balanced Learning for Object Detection Jiangmiao Pang, Kai Chen, Jianping Shi et al. | Jun 2019 | 1,764 |
| 9 | ICNet for Real-Time Semantic Segmentation on High-Resolution Images Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen et al. · Lecture notes in computer science | 2018 | 1,613 |
| 10 | Distractor-Aware Siamese Networks for Visual Object Tracking Zheng Dong Zhu, Qiang Wang, Bo Li et al. · Lecture notes in computer science | 2018 | 1,542 |
| 11 | Hybrid Task Cascade for Instance Segmentation Kai Chen, Jiangmiao Pang, Jiaqi Wang et al. | Jun 2019 | 1,534 |
| 12 | NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte et al. | Jul 2017 | 1,534 |
| 13 | Context Encoding for Semantic Segmentation Hang Zhang, Kristin Dana, Jianping Shi et al. | Jun 2018 | 1,487 |
| 14 | ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) | Jun 2022 | 1,326 |
| 15 | GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose Zhichao Yin, Jianping Shi | Jun 2018 | 1,301 |
| 16 | PSANet: Point-wise Spatial Attention Network for Scene Parsing Hengshuang Zhao, Zhang Yi, Shu Liu et al. · Lecture notes in computer science | 2018 | 1,272 |
| 17 | The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic et al. · Medical Image Analysis | 17 Nov 2022 | 1,236 |
| 18 | Spatial as Deep: Spatial CNN for Traffic Scene Understanding Xingang Pan, Jianping Shi, Ping Luo et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 27 Apr 2018 | 1,114 |
| 19 | Learning Deep Representation for Imbalanced Classification Chen Huang, Yining Li, Chen Change Loy et al. | Jun 2016 | 1,049 |
| 20 | InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Wenhai Wang, Jifeng Dai, Zhe Chen et al. | Jun 2023 | 983 |
| 21 | Joint Detection and Identification Feature Learning for Person Search Tong Xiao, Shuang Li, Bochao Wang et al. | Jul 2017 | 943 |
| 22 | Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net Xingang Pan, Ping Luo, Jianping Shi et al. · Lecture notes in computer science | 2018 | 941 |
| 23 | Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues Yu-Yang Qian, Guojun Yin, Lu Sheng et al. · Lecture notes in computer science | 2020 | 937 |
| 24 | Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion Haiyu Zhao, Maoqing Tian, Shuyang Sun et al. | Jul 2017 | 935 |
| 25 | From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network Shaoshuai Shi, Zhe Wang, Jianping Shi et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2020 | 918 |
| 26 | Learning Lightweight Lane Detection CNNs by Self Attention Distillation Yuenan Hou, Zheng Ma, Chunxiao Liu et al. | Oct 2019 | 739 |
| 27 | CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu, Guotai Wang, Tao Song et al. · IEEE Transactions on Medical Imaging | 2 Nov 2020 | 724 |
| 28 | The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan et al. · Lecture notes in computer science | 2019 | 713 |
| 29 | PolarMask: Single Shot Instance Segmentation With Polar Representation Enze Xie, Peize Sun, Xiaoge Song et al. | Jun 2020 | 675 |
| 30 | Adaptive Batch Normalization for practical domain adaptation Yanghao Li, Naiyan Wang, Jianping Shi et al. · Pattern Recognition | 6 Mar 2018 | 619 |
| 31 | UniFormer: Unifying Convolution and Self-Attention for Visual Recognition Kunchang Li, Yali Wang, Junhao Zhang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 5 Jun 2023 | 603 |
| 32 | Correlation Congruence for Knowledge Distillation Baoyun Peng, Jin Jie Xiao, Dongsheng Li et al. | Oct 2019 | 598 |
| 33 | FOTS: Fast Oriented Text Spotting with a Unified Network Xuebo Liu, Ding Liang, Shi Yan et al. | Jun 2018 | 581 |
| 34 | T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos Kai Kang, Hongsheng Li, Junjie Yan et al. · IEEE Transactions on Circuits and Systems for Video Technology | 7 Aug 2017 | 577 |
| 35 | HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis Xihui Liu, Haiyu Zhao, Maoqing Tian et al. | Oct 2017 | 565 |
| 36 | Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction Cunjun Yu, Xiao Ma, Jiawei Ren et al. · Lecture notes in computer science | 2020 | 559 |
| 37 | CREST: Convolutional Residual Learning for Visual Tracking Yibing Song, Chao Ma, Lijun Gong et al. | Oct 2017 | 557 |
| 38 | Grid R-CNN Xin Lu, Buyu Li, Yuxin Yue et al. | Jun 2019 | 548 |
| 39 | PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection Shaoshuai Shi, Li Jiang, Jiajun Deng et al. · International Journal of Computer Vision | 24 Nov 2022 | 536 |
| 40 | Look at Boundary: A Boundary-Aware Face Alignment Algorithm Wenyan Wu, Chen Qian, Shuo Yang et al. | Jun 2018 | 534 |
| 41 | Person Search with Natural Language Description Shuang Li, Tong Xiao, Hongsheng Li et al. | Jul 2017 | 531 |
| 42 | Low-Light Image Enhancement via a Deep Hybrid Network Wenqi Ren, Sifei Liu, Lin Ma et al. · IEEE Transactions on Image Processing | 16 Apr 2019 | 523 |
| 43 | A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Zhaohan Xiong et al. · Medical Image Analysis | 16 Oct 2020 | 515 |
| 44 | Deep Saliency with Encoded Low Level Distance Map and High Level Features Ga‐Young Lee, Yu‐Wing Tai, Junmo Kim | Jun 2016 | 515 |
| 45 | PF-Net: Point Fractal Network for 3D Point Cloud Completion Zitian Huang, Yikuan Yu, Jiawen Xu et al. | Jun 2020 | 512 |
| 46 | Equalization Loss for Long-Tailed Object Recognition Jingru Tan, Changbao Wang, Buyu Li et al. | Jun 2020 | 503 |
| 47 | Cascade Residual Learning: A Two-Stage Convolutional Neural Network for Stereo Matching Jiahao Pang, Wenxiu Sun, Jimmy Ren et al. | Oct 2017 | 503 |
| 48 | The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan et al. | Oct 2019 | 499 |
| 49 | Attention-Aware Compositional Network for Person Re-identification Jing Yu Xu, Rui Zhao, Feng Zhu et al. | Jun 2018 | 494 |
| 50 | Revisiting the Sibling Head in Object Detector Guanglu Song, Yu Liu, Xiaogang Wang | Jun 2020 | 486 |
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.