Hi, I’m Yiming Ma (Chinese name: 马一铭), a computer vision researcher. I’m interested in many CV areas, including crowd counting, object counting, and multimodality. I’ve also got some experience in multi-view multimodal driver anomaly detection. Currently, I am on my 3rd year of PhD in the MathSys CDT at the University of Warwick.
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Interests
  • Computer Vision
  • Crowd Counting
  • Object Counting
  • Multimodality
Education

  • (Current) PhD in Mathematics of Systems

    University of Warwick

  • MSc in Mathematics of Systems

    University of Warwick

  • BSc in Mathematics and Applied Mathematics

    Souther University of Science and Technology

Featured Publications
CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification
Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion
Recent Publications
Yiming Ma, Victor Sanchez, Tanaya Guha (2024). CLIP-EBC: CLIP Can Count Accurately through Enhanced Blockwise Classification.
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Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha (2023). Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention. In CVPRW.
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Yiming Ma, Victor Sanchez, Tanaya Guha (2022). FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion. In ICIP.
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Yiming Ma, Victor Sanchez, Soodeh Nikan, Devesh Upadhyay, Bhushan Atote, Tanaya Guha (2022). Real-Time Driver Monitoring Systems through Modality and View Analysis.
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Yiming Ma (2021). Inception-Based Crowd Counting–Being Fast while Remaining Accurate.
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