Now showing items 1-3 of 3

    • Deep Nets: What have they ever done for Vision? 

      Yuille, Alan L.; Liu, Chenxi (Center for Brains, Minds and Machines (CBMM), 2018-05-10)
      This is an opinion paper about the strengths and weaknesses of Deep Nets. They are at the center of recent progress on Artificial Intelligence and are of growing importance in Cognitive Science and Neuroscience since they ...
    • Recurrent Multimodal Interaction for Referring Image Segmentation 

      Liu, Chenxi; Lin, Zhe; Shen, Xiaohui; Yang, Jimei; Lu, Xin; e.a. (Center for Brains, Minds and Machines (CBMM), 2018-05-10)
      In this paper we are interested in the problem of image segmentation given natural language descriptions, i.e. referring expressions. Existing works tackle this problem by first modeling images and sentences independently ...
    • Scene Graph Parsing as Dependency Parsing 

      Wang, Yu-Siang; Liu, Chenxi; Zeng, Xiaohui; Yuille, Alan L. (Center for Brains, Minds and Machines (CBMM), 2018-05-10)
      In this paper, we study the problem of parsing structured knowledge graphs from textual descrip- tions. In particular, we consider the scene graph representation that considers objects together with their attributes and ...