310 citations · 1.2k across the 64 of their papers we have counts for
6 papers · 1 filter
Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web
Shugao Ma, Sarah Adel Bargal, Jianming Zhang +2
Recently, attempts have been made to collect millions of videos to train CNN models for action recognition in videos. However, curating such large-scale video datasets requires imm…
Robust Classification by Pre-conditioned LASSO and Transductive Diffusion Component Analysis
Yanwei Fu, De-An Huang, Leonid Sigal
Modern machine learning-based recognition approaches require large-scale datasets with large number of labelled training images. However, such datasets are inherently difficult and…
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization
Baohan Xu, Yanwei Fu, Yu-Gang Jiang +2
Emotion is a key element in user-generated videos. However, it is difficult to understand emotions conveyed in such videos due to the complex and unstructured nature of user-genera…
Learning from Synthetic Data Using a Stacked Multichannel Autoencoder
Xi Zhang, Yanwei Fu, Shanshan Jiang +2
Learning from synthetic data has many important and practical applications. An example of application is photo-sketch recognition. Using synthetic data is challenging due to the di…
Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder
Xi Zhang, Yanwei Fu, Andi Zang +2
We propose a method for using synthetic data to help learning classifiers. Synthetic data, even is generated based on real data, normally results in a shift from the distribution o…
Hierarchical Maximum-Margin Clustering
Guang-Tong Zhou, Sung Ju Hwang, Mark Schmidt +2
We present a hierarchical maximum-margin clustering method for unsupervised data analysis. Our method extends beyond flat maximum-margin clustering, and performs clustering recursi…