Institution · ByteDance (China)
Most cited papers from ByteDance (China)
What are the most cited papers from ByteDance (China)?
The most cited paper from ByteDance (China) is "ByteTrack: Multi-object Tracking by Associating Every Detection Box" (Yifu Zhang, Peize Sun, Yi Jiang et al., 2022), with 2,358 citations. Next come "Unified Perceptual Parsing for Scene Understanding" (2,103) and "Sparse R-CNN: End-to-End Object Detection with Learnable Proposals" (1,489).
Showing 50 of 60 papers. Every paper with more than 133 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | ByteTrack: Multi-object Tracking by Associating Every Detection Box Yifu Zhang, Peize Sun, Yi Jiang et al. · Lecture notes in computer science | 2022 | 2,358 |
| 2 | Unified Perceptual Parsing for Scene Understanding Tete Xiao, Yingcheng Liu, Bolei Zhou et al. · Lecture notes in computer science | 2018 | 2,103 |
| 3 | Sparse R-CNN: End-to-End Object Detection with Learnable Proposals Peize Sun, Rufeng Zhang, Yi Jiang et al. | Jun 2021 | 1,489 |
| 4 | 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 |
| 5 | Deep Subdomain Adaptation Network for Image Classification Yongchun Zhu, Fuzhen Zhuang, Jindong Wang et al. · IEEE Transactions on Neural Networks and Learning Systems | 4 May 2020 | 1,251 |
| 6 | FoveaBox: Beyound Anchor-Based Object Detection Tao Kong, Fuchun Sun, Huaping Liu et al. · IEEE Transactions on Image Processing | 2020 | 938 |
| 7 | SOLO: Segmenting Objects by Locations Xinlong Wang, Tao Kong, Chunhua Shen et al. · Lecture notes in computer science | 2020 | 815 |
| 8 | Deep Long-Tailed Learning: A Survey Yifan Zhang, Bingyi Kang, Bryan Hooi et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 19 Apr 2023 | 671 |
| 9 | Dense Contrastive Learning for Self-Supervised Visual Pre-Training Xinlong Wang, Rufeng Zhang, Chunhua Shen et al. | Jun 2021 | 622 |
| 10 | A Survey on In-context Learning Qingxiu Dong, Lei Li, Damai Dai et al. | 2024 | 613 |
| 11 | DeePMD-kit v2: A software package for deep potential models Jinzhe Zeng et al. · The Journal of Chemical Physics | Aug 2023 | 604 |
| 12 | Improving Convolutional Networks With Self-Calibrated Convolutions Jiangjiang Liu, Qibin Hou, Ming‐Ming Cheng et al. | Jun 2020 | 503 |
| 13 | Video Instance Segmentation Linjie Yang, Yuchen Fan, Ning Xu | Oct 2019 | 488 |
| 14 | VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research Xin Wang, Jiawei Wu, Junkun Chen et al. | Oct 2019 | 484 |
| 15 | 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 |
| 16 | Involution: Inverting the Inherence of Convolution for Visual Recognition Duo Li, Jie Hu, Changhu Wang et al. | Jun 2021 | 420 |
| 17 | Optimus Yanghua Peng, Yixin Bao, Yangrui Chen et al. | 18 Apr 2018 | 419 |
| 18 | Hard-carbon-stabilized Li–Si anodes for high-performance all-solid-state Li-ion batteries Wenlin Yan, Zhenliang Mu, Zhixuan Wang et al. · Nature Energy | 15 Jun 2023 | 384 |
| 19 | Generative Adversarial Networks in Time Series: A Systematic Literature Review Eoin Brophy, Zhengwei Wang, Qi She et al. · ACM Computing Surveys | 31 Aug 2022 | 333 |
| 20 | A generic communication scheduler for distributed DNN training acceleration Yanghua Peng, Yibo Zhu, Yangrui Chen et al. | 21 Oct 2019 | 330 |
| 21 | Towards a new generation of artificial intelligence in China Fei Qing Wu, Cewu Lu, Mingjie Zhu et al. · Nature Machine Intelligence | 16 Jun 2020 | 286 |
| 22 | Learning the Best Pooling Strategy for Visual Semantic Embedding Jiacheng Chen, Hexiang Hu, Hao Wu et al. | Jun 2021 | 285 |
| 23 | Position-Aware Tagging for Aspect Sentiment Triplet Extraction Lu Tie Xu, Hao Li, Wei Lu et al. | 2020 | 275 |
| 24 | Controllable Person Image Synthesis With Attribute-Decomposed GAN Yifang Men, Yiming Mao, Yuning Jiang et al. | Jun 2020 | 273 |
| 25 | HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection Ke Chen, Xingjian Du, Bilei Zhu et al. · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) | 27 Apr 2022 | 272 |
| 26 | Masked Generative Distillation Zhendong Yang, Zhe Li, Mingqi Shao et al. · Lecture notes in computer science | 2022 | 264 |
| 27 | Generative Dual Adversarial Network for Generalized Zero-Shot Learning He Huang, Changhu Wang, Philip S. Yu et al. | Jun 2019 | 264 |
| 28 | Generative Adversarial Networks in Computer Vision Zhengwei Wang, Qi She, Tomas Emmanuel Ward · ACM Computing Surveys | 9 Feb 2021 | 258 |
| 29 | Double Graph Based Reasoning for Document-level Relation Extraction Shuang Zeng, Runxin Xu, Baobao Chang et al. | 2020 | 248 |
| 30 | ACTION-Net: Multipath Excitation for Action Recognition Zhengwei Wang, Qi She, Aljoša Smolić | Jun 2021 | 246 |
| 31 | Towards Multi-Pose Guided Virtual Try-On Network Haoye Dong, Xiaodan Liang, Xiaohui Shen et al. | Oct 2019 | 222 |
| 32 | Pose guided structured region ensemble network for cascaded hand pose estimation Xinghao Chen, Guijin Wang, Hengkai Guo et al. · Neurocomputing | 13 Jul 2019 | 219 |
| 33 | Spelling Error Correction with Soft-Masked BERT Shaohua Zhang, Haoran Huang, Jicong Liu et al. | 2020 | 213 |
| 34 | Adaptive Spatio-temporal Graph Neural Network for traffic forecasting Xuxiang Ta, Zihan Liu, Xiao Hu et al. · Knowledge-Based Systems | 25 Jan 2022 | 189 |
| 35 | Dynamically Fused Graph Network for Multi-hop Reasoning Lin Qiu, Yunxuan Xiao, Yanru Qu et al. | 2019 | 180 |
| 36 | AutoFIS Bin Liu, Chenxu Zhu, Guilin Li et al. | 20 Aug 2020 | 177 |
| 37 | Skin disease diagnosis with deep learning: A review Hongfeng Li, Yini Pan, Jie Zhao et al. · Neurocomputing | 26 Aug 2021 | 175 |
| 38 | VmambaIR: Visual State Space Model for Image Restoration Yuan Shi, Bin Xia, Xiaoyu Jin et al. · IEEE Transactions on Circuits and Systems for Video Technology | 16 Jan 2025 | 173 |
| 39 | Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study Yuming Jiang, Zhicheng Zhang, Qingyu Yuan et al. · The Lancet Digital Health | 20 Apr 2022 | 173 |
| 40 | Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information Kai Su, Dongdong Yu, Zhenqi Xu et al. | Jun 2019 | 173 |
| 41 | AudioLDM 2: Learning Holistic Audio Generation With Self-Supervised Pretraining Haohe Liu, Yi Chen Yuan, Xubo Liu et al. · IEEE/ACM Transactions on Audio Speech and Language Processing | 2024 | 172 |
| 42 | Realizing long-cycling all-solid-state Li-In||TiS2 batteries using Li6+xMxAs1-xS5I (M=Si, Sn) sulfide solid electrolytes Pushun Lu, Yu Xia, Guochen Sun et al. · Nature Communications | 10 Jul 2023 | 172 |
| 43 | Language as Queries for Referring Video Object Segmentation Jiannan Wu, Yi Jiang, Peize Sun et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 169 |
| 44 | Contrastive Masked Autoencoders are Stronger Vision Learners Zhicheng Huang, Xiaojie Jin, Cheng-Ze Lu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 28 Nov 2023 | 168 |
| 45 | Tiresias: A GPU Cluster Manager for Distributed Deep Learning Juncheng Gu, Mosharaf Chowdhury, Kang Geun Shin et al. · Scholarworks@UNIST (Ulsan National Institute of Science and Technology) | 26 Feb 2019 | 168 |
| 46 | CamoFormer: Masked Separable Attention for Camouflaged Object Detection Bowen Yin, Xuying Zhang, Deng-Ping Fan et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 5 Aug 2024 | 166 |
| 47 | Streamlined Dense Video Captioning Jonghwan Mun, Linjie Yang, Zhou Ren et al. | Jun 2019 | 158 |
| 48 | Look Back and Predict Forward in Image Captioning Yu Xia Qin, Jiajun Du, Yonghua Zhang et al. | Jun 2019 | 156 |
| 49 | Locate then Segment: A Strong Pipeline for Referring Image Segmentation Ya Jing, Tao Kong, Wei Wang et al. | Jun 2021 | 154 |
| 50 | CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling Ning Miao, Hao Zhou, Lili Mou et al. · Proceedings of the AAAI Conference on Artificial Intelligence | 17 Jul 2019 | 150 |
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.