420 citations · 2.4k across the 126 of their papers we have counts for
5 papers · 1 filter
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Yuyin Zhou, Lingxi Xie, Wei Shen +3
Deep neural networks have been widely adopted for automatic organ segmentation from abdominal CT scans. However, the segmentation accuracy of some small organs (e.g., the pancreas)…
Object Recognition with and without Objects
Zhuotun Zhu, Lingxi Xie, Alan L. Yuille
While recent deep neural networks have achieved a promising performance on object recognition, they rely implicitly on the visual contents of the whole image. In this paper, we tra…
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
Lingxi Xie, Qi Tian, John Flynn +2
Deep Convolutional Neural Networks (CNNs) are playing important roles in state-of-the-art visual recognition. This paper focuses on modeling the spatial co-occurrence of neuron res…
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie, Jingdong Wang, Zhen Wei +2
During a long period of time we are combating over-fitting in the CNN training process with model regularization, including weight decay, model averaging, data augmentation, etc. I…
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie, Liang Zheng, Jingdong Wang +2
An increasing number of computer vision tasks can be tackled with deep features, which are the intermediate outputs of a pre-trained Convolutional Neural Network. Despite the aston…