61 citations · 110 across the 4 of their papers we have counts for
4 papers
DST: Data Selection and joint Training for Learning with Noisy Labels
Yi Wei, Xue Mei, Xin Liu +1
Training a deep neural network heavily relies on a large amount of training data with accurate annotations. To alleviate this problem, various methods have been proposed to annotat…
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang, Lei Zhang, Sijia Yu +3
Pavement crack detection is a critical task for insuring road safety. Manual crack detection is extremely time-consuming. Therefore, an automatic road crack detection method is req…
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan, Xue Mei, Danil Prokhorov +1
Context in image is crucial for scene labeling while existing methods only exploit local context generated from a small surrounding area of an image patch or a pixel, by contrast l…
Adaptive Objectness for Object Tracking
Pengpeng Liang, Chunyuan Liao, Xue Mei +1
Object tracking is a long standing problem in vision. While great efforts have been spent to improve tracking performance, a simple yet reliable prior knowledge is left unexploited…