Institution · Shanghai Artificial Intelligence Laboratory
Most cited papers from Shanghai Artificial Intelligence Laboratory
What are the most cited papers from Shanghai Artificial Intelligence Laboratory?
The most cited paper from Shanghai Artificial Intelligence Laboratory is "Object Detection in 20 Years: A Survey" (Zhengxia Zou, Keyan Chen, Zhenwei Shi et al., 2023), with 3,119 citations. Next come "PVT v2: Improved baselines with pyramid vision transformer" (2,391) and "Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data" (1,630).
Showing 50 of 60 papers. Every paper with more than 260 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Object Detection in 20 Years: A Survey Zhengxia Zou, Keyan Chen, Zhenwei Shi et al. · Proceedings of the IEEE | 27 Jan 2023 | 3,119 |
| 2 | PVT v2: Improved baselines with pyramid vision transformer Wenhai Wang, Enze Xie, Xiang Li et al. · Computational Visual Media | 16 Mar 2022 | 2,391 |
| 3 | Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang, Liangbin Xie, Chao Dong et al. | Oct 2021 | 1,630 |
| 4 | BEVFormer: Learning Bird’s-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers Zhiqi Li, Wenhai Wang, Hongyang Li et al. · Lecture notes in computer science | 2022 | 1,323 |
| 5 | TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers Jieneng Chen, Jieru Mei, Xianhang Li et al. · Medical Image Analysis | 22 Jul 2024 | 1,294 |
| 6 | Domain Generalization: A Survey Kaiyang Zhou, Ziwei Liu, Yu Qiao et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2022 | 1,137 |
| 7 | StrongSORT: Make DeepSORT Great Again Yunhao Du, Zhicheng Zhao, Yang Song et al. · IEEE Transactions on Multimedia | 2023 | 1,128 |
| 8 | Activating More Pixels in Image Super-Resolution Transformer Xiangyu Chen, Xintao Wang, Jiantao Zhou et al. | Jun 2023 | 1,101 |
| 9 | CLIP-Adapter: Better Vision-Language Models with Feature Adapters Peng Gao, Shijie Geng, Renrui Zhang et al. · International Journal of Computer Vision | 15 Sep 2023 | 1,088 |
| 10 | Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking Jinkun Cao, Jiangmiao Pang, Xinshuo Weng et al. | Jun 2023 | 988 |
| 11 | InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions Wenhai Wang, Jifeng Dai, Zhe Chen et al. | Jun 2023 | 983 |
| 12 | Planning-oriented Autonomous Driving Yihan Hu, Jiazhi Yang, Li Chen et al. | Jun 2023 | 888 |
| 13 | Revisiting Skeleton-based Action Recognition Haodong Duan, Yue Zhao, Kai Chen et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 826 |
| 14 | Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Zhe Chen, Jiannan Wu, Wenhai Wang et al. | 16 Jun 2024 | 614 |
| 15 | A Survey on In-context Learning Qingxiu Dong, Lei Li, Damai Dai et al. | 2024 | 613 |
| 16 | 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 |
| 17 | DiffusionDet: Diffusion Model for Object Detection Shoufa Chen, Peize Sun, Yibing Song et al. | Oct 2023 | 584 |
| 18 | End-to-End Autonomous Driving: Challenges and Frontiers Li Chen, Penghao Wu, Kashyap Chitta et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 30 Jul 2024 | 572 |
| 19 | A Fourier-based Framework for Domain Generalization Qinwei Xu, Ruipeng Zhang, Ya Zhang et al. | Jun 2021 | 563 |
| 20 | UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation Yunhe Gao, Mu Zhou, Dimitris Metaxas · Lecture notes in computer science | 2021 | 520 |
| 21 | VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking Limin Wang, Bingkun Huang, Zhiyu Zhao et al. | Jun 2023 | 492 |
| 22 | Extract Free Dense Labels from CLIP Chong Zhou, Chen Change Loy, Bo Dai · Lecture notes in computer science | 2022 | 461 |
| 23 | Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering Tao Lü, Mulin Yu, Linning Xu et al. | 16 Jun 2024 | 456 |
| 24 | MAT: Mask-Aware Transformer for Large Hole Image Inpainting Wenbo Li, Zhe Lin, Kun Zhou et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 437 |
| 25 | Dual Aggregation Transformer for Image Super-Resolution Zheng Chen, Yulun Zhang, Jinjin Gu et al. | Oct 2023 | 436 |
| 26 | 3D Object Detection for Autonomous Driving: A Comprehensive Survey Jiageng Mao, Shaoshuai Shi, Xiaogang Wang et al. · International Journal of Computer Vision | 27 Apr 2023 | 430 |
| 27 | Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency Xiangde Luo, Guotai Wang, Wenjun Liao et al. · Medical Image Analysis | 15 Jun 2022 | 409 |
| 28 | MMRotate Yue Zhou, Xue Yang, Gefan Zhang et al. · Proceedings of the 30th ACM International Conference on Multimedia | 10 Oct 2022 | 394 |
| 29 | Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification Renrui Zhang, Wei Zhang, Rongyao Fang et al. · Lecture notes in computer science | 2022 | 390 |
| 30 | LAVT: Language-Aware Vision Transformer for Referring Image Segmentation Zhao Yang, Jiaqi Wang, Yansong Tang et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 390 |
| 31 | MMBench: Is Your Multi-modal Model an All-Around Player? Yuan Liu, Haodong Duan, Yuanhan Zhang et al. · Lecture notes in computer science | Oct 2024 | 377 |
| 32 | Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers Bo Dong, Wenhai Wang, Deng-Ping Fan et al. · CAAI Artificial Intelligence Research | 30 Jun 2023 | 365 |
| 33 | Signal propagation in complex networks Peng Ji, Jiachen Ye, Yu Mu et al. · Physics Reports | 5 Apr 2023 | 363 |
| 34 | RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model Keyan Chen, Chenyang Liu, Hao Chen et al. · IEEE Transactions on Geoscience and Remote Sensing | 2024 | 359 |
| 35 | Vertical Federated Learning: Concepts, Advances, and Challenges Yang Liu, Yan Kang, Tianyuan Zou et al. · IEEE Transactions on Knowledge and Data Engineering | 26 Jan 2024 | 357 |
| 36 | GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting Yan Chi, Delin Qu, Dan Xu et al. | 16 Jun 2024 | 356 |
| 37 | RSMamba: Remote Sensing Image Classification With State Space Model Keyan Chen, Bowen Chen, Chenyang Liu et al. · IEEE Geoscience and Remote Sensing Letters | 2024 | 349 |
| 38 | VBench: Comprehensive Benchmark Suite for Video Generative Models Ziqi Huang, Yinan He, Jiashuo Yu et al. | 16 Jun 2024 | 348 |
| 39 | Fast Convergence of DETR with Spatially Modulated Co-Attention Peng Gao, Minghang Zheng, Xiaogang Wang et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 348 |
| 40 | Balanced Multimodal Learning via On-the-fly Gradient Modulation Xiaokang Peng, Yake Wei, Andong Deng et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 333 |
| 41 | Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation Rushi Jiao, Yichi Zhang, Le Ding et al. · Computers in Biology and Medicine | 16 Dec 2023 | 332 |
| 42 | MotionBERT: A Unified Perspective on Learning Human Motion Representations Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu et al. | Oct 2023 | 330 |
| 43 | BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision Chenyu Yang, Yuntao Chen, Hao Tian et al. | Jun 2023 | 324 |
| 44 | Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining Jiarun Liu, Hao Yang, Hong-Yu Zhou et al. · Lecture notes in computer science | 2024 | 323 |
| 45 | RS-Mamba for Large Remote Sensing Image Dense Prediction Sijie Zhao, Hao Chen, Xueliang Zhang et al. · IEEE Transactions on Geoscience and Remote Sensing | 2024 | 318 |
| 46 | Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification Yukang Zhang, Hanzi Wang | Jun 2023 | 316 |
| 47 | Dense Distinct Query for End-to-End Object Detection Shilong Zhang, Xinjiang Wang, Jiaqi Wang et al. | Jun 2023 | 310 |
| 48 | MotionDiffuse: Text-Driven Human Motion Generation With Diffusion Model Mingyuan Zhang, Zhongang Cai, Liang Pan et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 29 Jan 2024 | 303 |
| 49 | Fourier Contour Embedding for Arbitrary-Shaped Text Detection Yiqin Zhu, Jianyong Chen, Lingyu Liang et al. | Jun 2021 | 303 |
| 50 | PMC-LLaMA: toward building open-source language models for medicine Chaoyi Wu, Weixiong Lin, Xiaoman Zhang et al. · Journal of the American Medical Informatics Association | 13 Apr 2024 | 299 |
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.