19 citations · 26 across the 6 of their papers we have counts for
9 papers
Field-wise Learning for Multi-field Categorical Data
Zhibin Li, Jian Zhang, Yongshun Gong +2
We propose a new method for learning with multi-field categorical data. Multi-field categorical data are usually collected over many heterogeneous groups. These groups can reflect…
Distribution-aware Margin Calibration for Medical Image Segmentation
Zhibin Li, Litao Yu, Jian Zhang
The Jaccard index, also known as Intersection-over-Union (IoU score), is one of the most critical evaluation metrics in medical image segmentation. However, directly optimizing the…
ASDN: A Deep Convolutional Network for Arbitrary Scale Image Super-Resolution
Jialiang Shen, Yucheng Wang, Jian Zhang
Deep convolutional neural networks have significantly improved the peak signal-to-noise ratio of SuperResolution (SR). However, image viewer applications commonly allow users to zo…
Towards Better Graph Representation: Two-Branch Collaborative Graph Neural Networks for Multimodal Marketing Intention Detection
Lu Zhang, Jian Zhang, Zhibin Li +1
Inspired by the fact that spreading and collecting information through the Internet becomes the norm, more and more people choose to post for-profit contents (images and texts) in…
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Huaxi Huang, Junjie Zhang, Jian Zhang +2
Deep neural networks have demonstrated advanced abilities on various visual classification tasks, which heavily rely on the large-scale training samples with annotated ground-truth…
Extracting Visual Knowledge from the Internet: Making Sense of Image Data
Yazhou Yao, Jian Zhang, Xiansheng Hua +2
Recent successes in visual recognition can be primarily attributed to feature representation, learning algorithms, and the ever-increasing size of labeled training data. Extensive…