551 citations · 2.3k across the 76 of their papers we have counts for
7 papers · 1 filter
Infinite-Label Learning with Semantic Output Codes
Yang Zhang, Rupam Acharyya, Ji Liu +1
We develop a new statistical machine learning paradigm, named infinite-label learning, to annotate a data point with more than one relevant labels from a candidate set, which pools…
Query-Focused Extractive Video Summarization
Aidean Sharghi, Boqing Gong, Mubarak Shah
Video data is explosively growing. As a result of the "big video data", intelligent algorithms for automatic video summarization have re-emerged as a pressing need. We develop a pr…
Fast Zero-Shot Image Tagging
Yang Zhang, Boqing Gong, Mubarak Shah
The well-known word analogy experiments show that the recent word vectors capture fine-grained linguistic regularities in words by linear vector offsets, but it is unclear how well…
Learning Attributes Equals Multi-Source Domain Generalization
Chuang Gan, Tianbao Yang, Boqing Gong
Attributes possess appealing properties and benefit many computer vision problems, such as object recognition, learning with humans in the loop, and image retrieval. Whereas the ex…
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao, Soravit Changpinyo, Boqing Gong +1
Zero-shot learning (ZSL) methods have been studied in the unrealistic setting where test data are assumed to come from unseen classes only. In this paper, we advocate studying the…
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo, Wei-Lun Chao, Boqing Gong +1
Given semantic descriptions of object classes, zero-shot learning aims to accurately recognize objects of the unseen classes, from which no examples are available at the training s…
Improved Dropout for Shallow and Deep Learning
Zhe Li, Boqing Gong, Tianbao Yang
Dropout has been witnessed with great success in training deep neural networks by independently zeroing out the outputs of neurons at random. It has also received a surge of intere…