72 citations · 94 across the 5 of their papers we have counts for
5 papers
Visual Storytelling via Predicting Anchor Word Embeddings in the Stories
Bowen Zhang, Hexiang Hu, Fei Sha
We propose a learning model for the task of visual storytelling. The main idea is to predict anchor word embeddings from the images and use the embeddings and the image features jo…
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation
Risto Vuorio, Shao-Hua Sun, Hexiang Hu +1
Model-agnostic meta-learners aim to acquire meta-learned parameters from similar tasks to adapt to novel tasks from the same distribution with few gradient updates. With the flexib…
Evaluating Text-to-Image Matching using Binary Image Selection (BISON)
Hexiang Hu, Ishan Misra, Laurens van der Maaten
Providing systems the ability to relate linguistic and visual content is one of the hallmarks of computer vision. Tasks such as text-based image retrieval and image captioning were…
Toward Multimodal Model-Agnostic Meta-Learning
Risto Vuorio, Shao-Hua Sun, Hexiang Hu +1
Gradient-based meta-learners such as MAML are able to learn a meta-prior from similar tasks to adapt to novel tasks from the same distribution with few gradient updates. One import…
Recalling Holistic Information for Semantic Segmentation
Hexiang Hu, Zhiwei Deng, Guang-tong Zhou +2
Semantic segmentation requires a detailed labeling of image pixels by object category. Information derived from local image patches is necessary to describe the detailed shape of i…