652 citations · 1.8k across the 11 of their papers we have counts for
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3 papers · 1 filter
cs.LG2016★ 26 cited
Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images
Junhua Mao, Jiajing Xu, Yushi Jing +1
In this paper, we focus on training and evaluating effective word embeddings with both text and visual information. More specifically, we introduce a large-scale dataset with 300 m…
cs.CV2016★ 73 cited
Attention Correctness in Neural Image Captioning
Chenxi Liu, Junhua Mao, Fei Sha +1
Attention mechanisms have recently been introduced in deep learning for various tasks in natural language processing and computer vision. But despite their popularity, the "correct…
cs.CV2016★ 206 cited
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang, Yi Yang, Junhua Mao +3
While deep convolutional neural networks (CNNs) have shown a great success in single-label image classification, it is important to note that real world images generally contain mu…