Researcher

Yu Qiao

Also known as 乔宇

Yu Qiao is a researcher in facial image analysis and video understanding. In 2016 they were among the authors of Temporal Segment Networks, a paper on deep action recognition, and in 2023 they co-authored InternVL, a paper on scaling vision foundation models. A project they shared with SenseTime and Nanjing University won a first-class Technological Invention Award in 2019. The IAPR named them a Fellow in 2024 for contributions to facial image analysis and video understanding. As of October 2026 they are affiliated with Shanghai Artificial Intelligence Laboratory.

Timeline

  1. 2016

    Temporal segment networks

    Temporal Segment Networks, a paper on deep action recognition, lists them among its authors in 2016.

  2. 2019

    A technological invention award

    A project shared by them, SenseTime, and Nanjing University wins a first-class Technological Invention Award in 2019.

  3. December 2023

    InternVL vision foundation models

    They co-author InternVL in December 2023, a paper on scaling vision foundation models for visual-linguistic tasks.

  4. 2024

    Named an IAPR Fellow

    The IAPR names them a Fellow in 2024 for contributions to facial image analysis and video understanding.

  5. April 2025

    InternVL3 training recipes

    The InternVL3 report, submitted in April 2025, lists them among its authors.

  6. As of October 2026

    Shanghai AI Laboratory affiliation

    In 2026 they are affiliated with Shanghai Artificial Intelligence Laboratory.

Sources and credits

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  1. [1608.00859] Temporal Segment Networks: Towards Good Practices for Deep Action Recognition arxiv.org. Checked 14 October 2026.
  2. 2020-Good News in 2020 ccfcv.ccf.org.cn. Checked 14 October 2026.
  3. [2312.14238] InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks arxiv.org. Checked 14 October 2026.
  4. Chronological List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 14 October 2026.
  5. [2504.10479] InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models arxiv.org. Checked 14 October 2026.
  6. Qiao, Yu, Shenzhen Institute of Advanced Technology | TOPSCINET topscinet.com. Checked 14 October 2026.