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Bing Cao

Bing Cao (曹兵)

Ph.D.
Tianjin Key Lab of Machine Learning College of Intelligence and Computing
Tianjin University
Tianjin, China, 300072
Email: caobing at tju.edu.cn
Homepage: https://bcaosudo.github.io


欢迎2024、2025级博士、硕士研究生申请加入课题组
邮件咨询 caobing@tju.edu.cn
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(要求:自驱力&上进心)


ABOUT ME


I am an associate professor (tenure-track) at the College of Intelligence and Computing of Tianjin University, working with Prof. Qinghua Hu. I received the Ph.D. degree from Xidian University under the supervision of Prof. Xinbo Gao in 2020. From April. 2019 to July. 2020, I am a research assistant at IDEA Lab in University of North Carolina at Chapel Hill, supervised by Prof. Dinggang Shen. My research interests are on computer vision and deep learning, particularly multimodal learning and image synthesis.


 Latest News


  • [Feb.27, 2024] Two papers were accepted by CVPR 2024.
  • [Dec.09, 2023] One paper was accepted by AAAI 2024.
  • [Oct.14, 2023] Two students honored with National Scholarship, Ministry of Education. Congrats to Yiming and Zhiwei.
  • [Jul.14, 2023] One paper was accepted by ICCV 2023.
  • [May.17, 2023] One paper was accepted by IEEE T-CSVT.
  • [Apr.29, 2023] One paper was accepted by IEEE T-MM.
  • [Mar.28, 2023] One paper was accepted by IJCV.
  • [Feb.09, 2023] One paper was accepted by IEEE T-NNLS.
  • [Jan.09, 2023] One paper was accepted by IEEE T-NNLS.
  • [Oct.06, 2022] One paper was accepted by IEEE T-IP.
  • [Aug.19, 2022] One paper was accepted by IEEE T-IM.
  • [Jul.30, 2022] One paper was accepted by IEEE T-CSVT.
  • [Jun.30, 2022] One paper was accepted by ACM MM 2022.
  • [May.10, 2022] One paper was accepted by MIA.
  • [Apr.02, 2022] One paper was accepted by IEEE T-CSVT.
  • [Mar.02, 2022] One paper was accepted by CVPR 2022.
  • [Feb.28, 2022] One paper was accepted by 中国科学:信息科学.
  • [Jan.15, 2022] One paper was accepted by PR.

Selected Publications


  1. AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis
    Bing Cao, Zhiwei Bi, Qinghua Hu*, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen
    International Journal of Computer Vision (IJCV), 2023.
  2. Multi-Task Credible Pseudo-Label Learning for Semi-Supervised Crowd Counting
    Pengfei Zhu, Jingqing Li, Bing Cao* , Qinghua Hu
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
  3. Multi-view Knowledge Ensemble With Frequency Consistency for Cross-Domain Face Translation
    Bing Cao, Qinghe Wang, Pengfei Zhu, Qinghua Hu, Dongwei Ren, Wangmeng Zuo, Xinbo Gao
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
  4. Learning a Prototype Discriminator With RBF for Multimodal Image Synthesis
    Zhiwei Bi, Bing Cao*, Wangmeng Zuo, Qinghua Hu
    IEEE Transactions on Image Processing (TIP), 2022.
  5. DetFusion: A Detection-driven Infrared and Visible Image Fusion Network
    Yiming Sun, Bing Cao*, Pengfei Zhu, Qinghua Hu
    Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022.
  6. Curiosity-Driven Class-Incremental Learning via Adaptive Sample Selection
    Qinghua Hu, Yucong Gao, Bing Cao*
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
  7. Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning
    Yiming Sun*, Bing Cao*, Pengfei Zhu, Qinghua Hu
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
  8. Face photo-sketch synthesis via full-scale identity supervision
    Bing Cao, Nannan Wang, Jie Li, Qinghua Hu, Xinbo Gao
    Pattern Recognition (PR), 2022.
  9. Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis
    Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao and Dinggang Shen
    Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
  10. Multi-margin based decorrelation learning for heterogeneous face recognition
    Bing Cao, Nannan Wang, Xinbo Gao, Jie Li and Zhifeng Li
    Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), 2019.
  11. Asymmetric joint learning for heterogeneous face recognition
    Bing Cao, Nannan Wang, Xinbo Gao and Jie Li
    Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018.
  12. Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition
    Bing Cao, Nannan Wang, Jie Li and Xinbo Gao
    IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2018.