World's Best Scientists 2026 revealed!
Song Bai

Song Bai

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
53
Citations
12261
World Ranking
244
National Ranking
81

Computer Science

D-Index
53
Citations
14115
World Ranking
4743
National Ranking
635

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Song Bai is a researcher affiliated with ByteDance in China, with extensive contributions primarily in the field of Computer Science. Their work centers on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, and Materials Chemistry.

The scientist's publication record is notable for frequent contributions to a range of academic venues. These include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • SSRN Electronic Journal
  • Pattern Recognition

Among recent papers authored or co-authored by Song Bai are:

  • "Hypergraph convolution and hypergraph attention" (2020), published in Pattern Recognition
  • "DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "End-to-End Temporal Action Detection With Transformer" (2022), published in IEEE Transactions on Image Processing
  • "Learning Transferable Adversarial Examples via Ghost Networks" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Predicting COVID-19 Malignant Progression with AI Techniques" (2020), published in SSRN Electronic Journal

The scholar collaborates frequently with other researchers, including Xiang Bai, Wenqing Zhang, Philip H. S. Torr, Chuhui Xue, and Alan Yuille.

Research topics covered by Song Bai encompass a range of areas within artificial intelligence and computer vision. Key topics include:

  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging

Best Publications

  • CenterNet: Keypoint Triplets for Object Detection

    Kaiwen Duan;Song Bai;Lingxi Xie;Honggang Qi

  • Improving Transferability of Adversarial Examples With Input Diversity

    Cihang Xie;Zhishuai Zhang;Yuyin Zhou;Song Bai

  • Asymmetric Non-Local Neural Networks for Semantic Segmentation

    Zhen Zhu;Mengdu Xu;Song Bai;Tengteng Huang

  • Hypergraph convolution and hypergraph attention

    Song Bai;Feihu Zhang;Philip H.S. Torr

  • DeepPano: Deep Panoramic Representation for 3-D Shape Recognition

    Baoguang Shi;Song Bai;Zhichao Zhou;Xiang Bai

  • PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

    Peng Tang;Xinggang Wang;Song Bai;Wei Shen

  • Triplet-Center Loss for Multi-view 3D Object Retrieval

    Xinwei He;Yang Zhou;Zhichao Zhou;Song Bai

  • DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

    Unknown

  • Scalable Person Re-identification on Supervised Smoothed Manifold

    Song Bai;Xiang Bai;Qi Tian

  • GIFT: A Real-Time and Scalable 3D Shape Search Engine

    Song Bai;Xiang Bai;Zhichao Zhou;Zhaoxiang Zhang

  • End-to-end Temporal Action Detection with Transformer.

    Xiaolong Liu;Qimeng Wang;Yao Hu;Xu Tang

  • Sparse Contextual Activation for Efficient Visual Re-Ranking

    Song Bai;Xiang Bai

  • Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation

    Yuyin Zhou;Zhe Li;Song Bai;Xinlei Chen

  • XingGAN for Person Image Generation

    Hao Tang;Hao Tang;Song Bai;Li Zhang;Philip H. S. Torr

  • Learn to Scale: Generating Multipolar Normalized Density Maps for Crowd Counting

    Chenfeng Xu;Kai Qiu;Jianlong Fu;Song Bai

  • Learning Attraction Field Representation for Robust Line Segment Detection

    Nan Xue;Song Bai;Fudong Wang;Gui-Song Xia

  • Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training

    Yuyin Zhou;Yan Wang;Peng Tang;Song Bai

  • Deep Learning Representation using Autoencoder for 3D Shape Retrieval

    Zhuotun Zhu;Xinggang Wang;Song Bai;Cong Yao

  • SwiftNet: Real-time Video Object Segmentation

    Haochen Wang;Xiaolong Jiang;Haibing Ren;Yao Hu

  • Symmetry-Constrained Rectification Network for Scene Text Recognition

    Mingkun Yang;Yushuo Guan;Minghui Liao;Xin He

  • SHREC'17 Track Large-Scale 3D Shape Retrieval From Shapenet Core55

    Manolis Savva;Fisher Yu;Hao Su;Asako Kanezaki

  • Hard-Aware Point-to-Set Deep Metric for Person Re-identification

    Rui Yu;Zhiyong Dou;Song Bai;Zhaoxiang Zhang

  • Predicting COVID-19 malignant progression with AI techniques

    Cong Fang;Song Bai;Qianlan Chen;Yu Zhou

Frequent Co-Authors

Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Qi Tian
Qi Tian Huawei Technologies (China)
Longin Jan Latecki
Longin Jan Latecki Temple University
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Nicu Sebe
Nicu Sebe University of Trento
Gui-Song Xia
Gui-Song Xia Wuhan University
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences
Cong Yao
Cong Yao Alibaba Group (China)

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