Kai Li
Researcher
Meta Reality Labs.
Office: 1 Hacker Way, Menlo Park, CA 94025, US
Email : li.gm.kai [at] gmail.com     Github     Google Scholar

About Me

I am a research scientist in Meta. Prior to this, I was a researcher in the Machine Learning Department of NEC Labs, America. I obtained my PhD from Northeastern University, and my master and bachelor degrees from Wuhan University. I interned in Adobe Research, NEC Labs, and JD AI Research, America. My research interests lie in machine learning and computer vision, particularly in label-efficient learning (e.g., zero/few-shot learning, domain adaptation), video understanding (e.g., action recognition, action detection), visual content generation (text-to-image/video generation, image-to-video generation).

News

  • 2024.01: Join Meta as a research scientist.
  • 2023.09: One paper accepted by NeurIPS 2023.
  • 2023.07: Three papers accepted by ICCV 2023.
  • 2023.04: One paper accepted by MICCAI 2023 and one paper by ICASSP 2023.
  • 2023.02: Three papers accepted by CVPR 2023.
  • 2023.01: One paper accepted by AAAI 2023.
  • 2022.12: Two medical journal papers accepted by Bioinformatics and Frontiers in Immunology.
  • 2022.02: One paper accepted by CVPR 2022.
  • 2022.02: One paper accepted by IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI).
  • 2021.07: Two papers accepted by ICCV 2021.
  • 2021.07: Two papers accepted by ACM MM 2021.
  • 2021.06: One paper accepted by IEEE Trans. on Image Processing (TIP).
  • 2021.06: Join NEC Labs, America as a researcher.
  • 2021.06: One paper accepted by IEEE Trans. on Cybernetics.
  • 2021.04: Defense my PhD.
  • 2021.03: One paper accepted by CVPR 2021.
  • 2020.12: One paper accepted by CHI 2021.
  • 2020.11: Receive the Dissertation Completion Fellowship from the university.
  • 2020.09: One paper accepted by TNNLS.
  • 2020.06: One paper accepted by IEEE Trans. on Big Data (TBD).
  • 2020.05: Receive the Outstanding Research Assistant Award from College of Engineering.
  • 2020.02: Two papers accepted by CVPR 2020.
  • 2019.08: One paper accepted by CIKM 2019.
  • 2019.07: Three papers are accepted by ICCV 2019.
  • 2018.12: One paper accepted by ICLR 2019.
  • 2018.09: One paper accepted by TNNLS.
  • 2018.07: One paper accepted by ACM MM 2018 as full long paper.
  • 2018.07: One paper accepted by ECCV 2018.
  • 2017.11: Two papers accepted by AAAI18.
  • 2016.09: Begin my new study journey in Northeastern University at Boston.

Recent Publications [Full list] [Google Scholar]

  • Conditional Image-to-Video Generation with Latent Flow Diffusion Models. [PDF]
    Haomiao Ni, Changhao Shi, Kai Li, Sharon X. Huang, and Martin Renqiang Min.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning [PDF]
    Kai Li, Deep Patel, Erik Kruus, and Martin Renqiang Min.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction [PDF]
    Chunming He, Kai Li, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, and Xiu Li.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis. [PDF]
    Zhiheng Li, Martin Renqiang Min, Kai Li, and Chenliang Xu.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

  • Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning [PDF][code]
    Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu.
    International Conference on Computer Vision (ICCV), 2021.

  • MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network [PDF]
    Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

  • Cross-Domain Document Object Detection: Benchmark Suite and Method. [PDF][code]
    Kai Li, C. Wigington, C. Tensmeyer, H. Zhao, N. Barmpalios, V. Morariu, V. Manjunatha, T. Sun, Yun Fu.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Adversarial Feature Hallucination Networks for Few-Shot Learning. [PDF][code]
    Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  • Attention Bridging Network for Knowledge Transfer. [PDF][code]
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu.
    International Conference on Computer Vision (ICCV), 2019.

  • Visual Semantic Reasoning for Image-Text Matching. [PDF][code]
    Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu.
    International Conference on Computer Vision (ICCV), 2019.

  • Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective. [PDF][code]
    Kai Li, Martin Renqiang Min, Yun Fu.
    International Conference on Computer Vision (ICCV), 2019.

Selected Awards

  • Dissertation Completion Award, Northeastern University, 2020.
  • Outstanding Research Assistant Award, College of Engineering, Northeastern University, 2020.
  • Dean's Fellowship, College of Engineering, Northeastern University, 2016.
  • Wang Zhizhou Scholarship, Wuhan University, 2015.
  • Excellent Graduate Student, Wuhan University, 2015.
  • Outstanding Undergraduate Thesis, Hubei Province, 2015.
  • Best Undergraduate Thesis, School of Remote Sensing and Information Engineering, Wuhan University, 2014.

Professonal Activities

  • Reviewer for TPAMI, TIP, TNNLS, TKDD, IET Image Processing, JEI, Neurocomputing
  • Reviewer for CVPR, ECCV, ICCV, ICLR, NeurIPS, IJCAI, AAAI, WACV.
  • IEEE student member, AAAI student member.

Last Updated on 11th Dec, 2017

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