63 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN21 papers
- Institute of Applied Physics and Computational MathematicsCN4 papers
- Peking UniversityCN4 papers
- Chinese Academy of SciencesCN2 papers
- Harvard UniversityUS2 papers
- Kyung Hee UniversityKR2 papers
- Shanghai Artificial Intelligence LaboratoryCN2 papers
- Southeast UniversityCN2 papers
- University College LondonGB2 papers
- University of WashingtonUS2 papers
- Ajou UniversityKR1 paper
- Art Institute of PortlandUS1 paper
8 papers · 1 filter
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang +22
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning
Chaofan Ma, Qisen Xu, Xiangfeng Wang +4
Interactive segmentation has recently been explored to effectively and efficiently harvest high-quality segmentation masks by iteratively incorporating user hints. While iterative…
A Fourier-based Framework for Domain Generalization
Qinwei Xu, Ruipeng Zhang, Ya Zhang +2
Modern deep neural networks suffer from performance degradation when evaluated on testing data under different distributions from training data. Domain generalization aims at tackl…
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation
Xiaoman Zhang, Shixiang Feng, Yuhang Zhou +2
Automatic and accurate tumor segmentation on medical images is in high demand to assist physicians with diagnosis and treatment. However, it is difficult to obtain massive amounts…
Receptive Multi-granularity Representation for Person Re-Identification
Guanshuo Wang, Yufeng Yuan, Jiwei Li +2
A key for person re-identification is achieving consistent local details for discriminative representation across variable environments. Current stripe-based feature learning appro…
Universal-to-Specific Framework for Complex Action Recognition
Peisen Zhao, Lingxi Xie, Ya Zhang +1
Video-based action recognition has recently attracted much attention in the field of computer vision. To solve more complex recognition tasks, it has become necessary to distinguis…
Deep Learning from Noisy Image Labels with Quality Embedding
Jiangchao Yao, Jiajie Wang, Ivor Tsang +4
There is an emerging trend to leverage noisy image datasets in many visual recognition tasks. However, the label noise among the datasets severely degenerates the \mbox{performance…
Deep Hashing with Triplet Quantization Loss
Yuefu Zhou, Shanshan Huang, Ya Zhang +1
With the explosive growth of image databases, deep hashing, which learns compact binary descriptors for images, has become critical for fast image retrieval. Many existing deep has…