652 citations · 2.2k across the 16 of their papers we have counts for
4 papers · 2 filters
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
Kan Chen, Jiang Wang, Liang-Chieh Chen +3
We propose a novel attention based deep learning architecture for visual question answering task (VQA). Given an image and an image related natural language question, VQA generates…
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang +2
Incorporating multi-scale features in fully convolutional neural networks (FCNs) has been a key element to achieving state-of-the-art performance on semantic image segmentation. On…
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Haonan Yu, Jiang Wang, Zhiheng Huang +2
We present an approach that exploits hierarchical Recurrent Neural Networks (RNNs) to tackle the video captioning problem, i.e., generating one or multiple sentences to describe a…
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao, Wei Xu, Yi Yang +3
In this paper, we address the task of learning novel visual concepts, and their interactions with other concepts, from a few images with sentence descriptions. Using linguistic con…