162 citations · 896 across the 37 of their papers we have counts for
4 papers · 1 filter
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise
Kuang-Huei Lee, Xiaodong He, Lei Zhang +1
In this paper, we study the problem of learning image classification models with label noise. Existing approaches depending on human supervision are generally not scalable as manua…
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Peter Anderson, Xiaodong He, Chris Buehler +4
Top-down visual attention mechanisms have been used extensively in image captioning and visual question answering (VQA) to enable deeper image understanding through fine-grained an…
One-shot Face Recognition by Promoting Underrepresented Classes
Yandong Guo, Lei Zhang
In this paper, we study the problem of training large-scale face identification model with imbalanced training data. This problem naturally exists in many real scenarios including…
PatternNet: Visual Pattern Mining with Deep Neural Network
Hongzhi Li, Joseph G. Ellis, Lei Zhang +1
Visual patterns represent the discernible regularity in the visual world. They capture the essential nature of visual objects or scenes. Understanding and modeling visual patterns…