652 citations · 2.2k across the 16 of their papers we have counts for
4 papers · 1 filter
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao, Wei Xu, Yi Yang +3
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for generating novel image captions. It directly models the probability distribution of generating a w…
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao, Wei Xu, Yi Yang +2
In this paper, we present a multimodal Recurrent Neural Network (m-RNN) model for generating novel sentence descriptions to explain the content of images. It directly models the pr…
Cross-view Action Modeling, Learning and Recognition
Jiang wang, Xiaohan Nie, Yin Xia +2
Existing methods on video-based action recognition are generally view-dependent, i.e., performing recognition from the same views seen in the training data. We present a novel mult…
Learning Fine-grained Image Similarity with Deep Ranking
Jiang Wang, Yang song, Thomas Leung +5
Learning fine-grained image similarity is a challenging task. It needs to capture between-class and within-class image differences. This paper proposes a deep ranking model that em…