17 citations · 50 across the 6 of their papers we have counts for
6 papers
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards
Junjie Zhang, Qi Wu, Chunhua Shen +3
Despite significant progress in a variety of vision-and-language problems, developing a method capable of asking intelligent, goal-oriented questions about images is proven to be a…
Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement
Junjie Zhang, Qi Wu, Jian Zhang +2
The number of social images has exploded by the wide adoption of social networks, and people like to share their comments about them. These comments can be a description of the ima…
Multi-Label Image Classification with Regional Latent Semantic Dependencies
Junjie Zhang, Qi Wu, Chunhua Shen +2
Deep convolution neural networks (CNN) have demonstrated advanced performance on single-label image classification, and various progress also have been made to apply CNN methods on…
Face Detection with Effective Feature Extraction
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang
There is an abundant literature on face detection due to its important role in many vision applications. Since Viola and Jones proposed the first real-time AdaBoost based face dete…
Incremental Training of a Detector Using Online Sparse Eigen-decomposition
Sakrapee Paisitkriangkrai, Chunhua Shen, Jian Zhang
The ability to efficiently and accurately detect objects plays a very crucial role for many computer vision tasks. Recently, offline object detectors have shown a tremendous succes…
Efficiently Learning a Detection Cascade with Sparse Eigenvectors
Chunhua Shen, Sakrapee Paisitkriangkrai, Jian Zhang
In this work, we first show that feature selection methods other than boosting can also be used for training an efficient object detector. In particular, we introduce Greedy Sparse…