Kunpeng Li
Research Scientist
Meta Generative AI
Email : kunpengli [at] meta.com,   kinpeng.li.1994 [at] gmail.com
Github     Google Scholar

About Me

I am a Research Scientist at Meta Generative AI (FB page). My current research interests lie in Computer Vision and Deep Learning, especially learning with limited supervision, vision & language, Generative AI, scene understanding and etc.

I received my Ph.D degree from Electrical and Computer Engineering Department, Northeastern University, advised by Prof. Yun Fu. Please find the webpage of our lab here SmileLab. I have also spent time at Google Research, Adobe Research, Bytedance AI Lab U.S. and Siemens Research as a research intern.

News

  • 2024.04: Core contributor of Text-to-Image foundation model that has been shipped to [Meta AI] as well as Instagram, WhatsApp, and Messenger.
  • 2024.02: We have two papers accepted by CVPR 2024
  • 2023.02: We have one paper accepted by CVPR 2023, welcome to check our Open-vocabulary Segmentation [Project] and [Demo].
  • 2023.02: We have one paper accepted by ICLR 2023
  • 2022.10: Core contributor of [Face Tracking model] that has been shiped to [Meta Quest Pro] to enable avatars to more closely mirror people's expressions in VR.
  • 2022.09: We have one paper accepted by TOMM.
  • 2022.02: We have one paper accepted by ICLR 2022.
  • 2022.01: One paper is accepted by IEEE TPAMI and one is accepted by AAAI 2022 [Post].
  • 2021.09: Serve as a Senior Program Committee (SPC) member for IJCAI from 2022 to 2024.
  • 2021.09: Join Facebook Reality Labs (FRL), CA as a Research Scientist.
  • 2021.08: Defense my PhD and graduate from Northeastern University, Good bye Boston.
  • 2021.06: One paper is accepted by IEEE TIP.
  • 2021.04: Receive the Outstanding Graduate Research Award from College of Engineering, NEU.
  • 2021.03: Our team won the 1st Prize in both RGB and RGB-D tracks of CVPR21 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition [code] [link] [news].
  • 2021.03: One paper is accepted by CVPR 2021.
  • 2020.11: One paper is accepted by Nature: Commun. Biol.
  • 2020.09: One paper is accepted by IEEE TNNLS.
  • 2020.03: Two papers are accepted by CVPR 2020.
  • 2020.02: One paper is accepted by Lab on a Chip, one of the top journals in Chemical/Biomedical Engineering.
  • 2020.01: Start my internship at Google AI Research, Sunnyvale, CA.
  • 2019.07: Two papers are accepted by ICCV 2019, one as Oral and one as Poster.
  • 2019.06: One paper is accepted by IEEE TPAMI .
  • 2019.05: Start my internship at Bytedance AI Lab, Palo Alto, CA.
  • 2018.05: Start my internship at Adobe Research, San Jose, CA.
  • 2018.03: One paper is accepted by CVPR 2018 as spotlight .
  • 2017.05: Start my internship at Siemens Research, Princeton, NJ.
  • 2017.04: One paper is accepted by IJCAI 2017 .
  • 2016.09: Begin my new journey at Northeastern University, Boston, MA.

Previous Selected Publications [Full List and Recent Works]

Screencast Tutorial Video Understanding
Kunpeng Li, Chen Fang, Zhaowen Wang, Seokhwan Kim, Hailin Jin, Yun Fu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 [PDF], [Code], [Project]
Visual Semantic Reasoning for Image-Text Matching
Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu
International Conference on Computer Vision (ICCV), 2019 (Oral) [PDF], [Code], [Talk]
Attention Bridging Network for Knowledge Transfer
Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu
International Conference on Computer Vision (ICCV), 2019 [PDF], [Single-label Data] [Localization Cues]
Residual Non-local Attention Networks for Image Restoration
Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu
International Conference on Learning Representations (ICLR), 2019 [PDF], [Code]
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight) [PDF], [Code] by alokwhitewolf, [Talk], [Siemens Product], [Patent]

Guided Attention Inference Network
Kunpeng Li, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Yun Fu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 [Paper]
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu
European Conference on Computer Vision (ECCV), 2018 [PDF], [Code]
Multi-stream Deep Similarity Learning Networks for Visual Tracking
Kunpeng Li, Yu Kong, Yun Fu
International Joint Conference on Artificial Intelligence (IJCAI), 2017 [PDF], [Benchmark Results], [Video Results]
A New Fingertip Detection and Tracking Algorithm and Its Application on Writing-in-the-air System
Kunpeng Li, Xin Zhang
IEEE International Conference on Image and Signal Processing, 2014 [PDF], [Extension], [Demo]

Awards

  • College of Engineering Outstanding Graduate Research Award, 2021.
  • 1st Prize in both RGB and RGB-D tracks of CVPR21 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition [code] [link] [news], 2021
  • Travel award for attending ICCV, 2019.
  • Travel award for attending CVPR, 2018.
  • NSF travel award for attending IJCAI, 2017.
  • Dean's Fellowship, College of Engineering, Northeastern University, 2016.
  • First Prize in Digital Image Processing Contest of Guangdong Province, 2015.
  • National Scholarship, South China University of Technology, 2014.
  • Meritorious Winner in International Mathematical Contest in Modeling, 2014.

Professonal Activities

  • Area Chair or Senior Program Committee Member for IJCAI
  • PC Member or Reviewer for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI, TPAMI, IJCV, TIP, TNNLS, TMI, TMM, TOMM, TKDD