Joseph Tighe

I’m a Research Scientist at FAIR working in Computer Vision. My interests include detection, video understanding, tracking and self-supervised learning. Before FAIR I was at Amazon AWS AI where I was part of the team that launched Rekogntion Video. and was part of the team that launched Amazon GO. Before that I got my PhD under the supervision of Svetlana Lazebnik at UNC Chapel Hill with a focus on non-parametric methods for semantic segmentation.

News

  • [2023] I’ve been asked to be an AC for NeurIPS 2023.
  • [2023] We had 1 paper accpted to CVRP
  • [2022] I’ll be one of the ACs for the upcoming CVPR 2023.
  • [2022] Our new tracking dataset is now avalible here!
  • [2022] We had 3 papers accepted to ECCV Links Coming soon
  • [2022] We had 4 papers accepted to CVPR
  • [2021] Our NUTA paper was accepted to WACV
  • [2021] We have an upcoming challenge on tracking Airborn Objects at ICCV 2021 site
  • [2021] 3 papers accepted to ICCV!
    • VidTr: Video Transformer Without Convolutions pdf
    • Single View Physical Distance Estimation using Human Pose pdf
    • Selective Feature Compression for Efficient Activity Recognition Inference pdf
  • [2021] Presented a tutorial on Leveraging Motion in Video at CVPR talk site
  • [2021] SiamMOT paper was accepted to CVPR pdf
  • [2020] Check out the video models now available in the Gluon pytorch tool kit my team helped develop link