Now showing items 1-2 of 2

    • Joint spatial and layer attention for convolutional networks 

      Joseph, Tony (2019-05-01)
      In this work, we propose a novel approach that learns to sequentially attend to different Convolutional Neural Networks (CNN) layers (i.e., “what” feature abstraction to attend to) and different spatial locations of the ...
    • Predicting multi-person dynamics 

      Karia, Chirag (2023-12-01)
      Humans unconsciously model the dynamics of the world around them; for example, we predict the movement of surrounding traffic and pedestrians while driving, or forecast player positions in a game of soccer. Our work builds ...