Anyi Rao is a Postdoctoral Scholar at Stanford with Maneesh Agrawala. He has research experiences at Meta Reality Lab, Vector Institute, University of Toronto, Hong Kong University. He received the Ph.D. at MMLab in the Chinese University of Hong Kong in 2022, advised by Dahua Lin and Bolei Zhou. He got the B.S. from EE Department, Nanjing University in 2018, ranking 1/183. He studies human-centered AI for multimodality and creativity, with focuses on intelligent video editing and creation, video semantic and cinematic analysis, aiming to build connections between AI and humans for collaborative intelligence.

Honors & Awards

  • Magic Grant, Brown Institue (2023)
  • Gift Research Funding by Prime Video, Amazon (2023)
  • Grant for Organizing ECCV22 Creative Video Editing and Understanding Workshop, KAUST (2022)
  • Grant for Organizing ICCV21 Creative Video Editing and Understanding Workshop, Adobe (2021)
  • Most Influential Papers, Paper Digest (2021)

Boards, Advisory Committees, Professional Organizations

  • Program Committee Member and Reviewer, CVPR, ICCV, ECCV, CHI, UIST, NeurIPS, ICML, ICLR, AAAI, IJCAI (2021 - Present)

Stanford Advisors

Current Research and Scholarly Interests

Human-Centered AI, CV, CG, HCI

All Publications

  • Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences The AAAI Conference on Artificial Intelligence Zhou, Y., Duan, H., Rao, A., Su, B., Wang, J. 2023
  • HireVAE: An Online and Adaptive Factor Model Based on Hierarchical and Regime-Switch VAE International Joint Conference on Artificial Intelligence (IJCAI) Wei, Z., Rao, A., Dai, B., Lin, D. 2023
  • A Coarse-to-Fine Framework for Automatic Video Unscreen IEEE Transactions on Multimedia (TMM) Rao, A., Xu, L., Li, Z., Huang, Q., Kuang, Z., Zhang, W., Lin, D. 2022

    View details for DOI 10.1109/TMM.2022.3150177

  • AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Liu, X., Xu, X., Rao, A., Gan, C., Yi, L. 2022
  • BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering European Conference on Computer Vision (ECCV) Xiangli, Y., Xu, L., Pan, X., Zhao, N., Rao, A., Theobalt, C., Dai, B., Lin, D. 2022
  • BlockPlanner: City Block Generation with Vectorized Graph Representation IEEE/CVF International Conference on Computer Vision (ICCV) Xu, L., Xiangli, Y., Rao, A., Zhao, N., Dai, B., Liu, Z., Lin, D. 2021
  • Jointly Learning the Attributes and Composition of Shots for Boundary Detection in Videos IEEE Transactions on Multimedia (TMM) Jiang, X., Jin, L., Rao, A., Xu, L., Lin, D. 2021

    View details for DOI 10.1109/tmm.2021.3092143

  • A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Rao, A., Xu, L., Xiong, Y., Xu, G., Huang, Q., Zhou, B., Lin, D. 2020
  • A Unified Framework for Shot Type Classification Based on Subject Centric Lens European Conference on Computer Vision (ECCV) Rao, A., Wang, J., Xu, L., Jiang, X., Huang, Q., Zhou, B., Lin, D. 2020
  • HotFlip: White-Box Adversarial Examples for Text Classification Annual Meeting of the Association for Computational Linguistics (ACL) Ebrahimi, J., Rao, A., Lowd, D., Dou, D. 2018

    View details for DOI 10.18653/v1/p18-2006