9 citations · 16 across the 7 of their papers we have counts for
7 papers
Novel Class Discovery for Long-tailed Recognition
Chuyu Zhang, Ruijie Xu, Xuming He
While the novel class discovery has recently made great progress, existing methods typically focus on improving algorithms on class-balanced benchmarks. However, in real-world reco…
Class-relation Knowledge Distillation for Novel Class Discovery
Peiyan Gu, Chuyu Zhang, Ruijie Xu +1
We tackle the problem of novel class discovery, which aims to learn novel classes without supervision based on labeled data from known classes. A key challenge lies in transferring…
Rethinking the Localization in Weakly Supervised Object Localization
Rui Xu, Yong Luo, Han Hu +3
Weakly supervised object localization (WSOL) is one of the most popular and challenging tasks in computer vision. This task is to localize the objects in the images given only the…
An Improved RaftStereo Trained with A Mixed Dataset for the Robust Vision Challenge 2022
Hualie Jiang, Rui Xu, Wenjie Jiang
Stereo-matching is a fundamental problem in computer vision. Despite recent progress by deep learning, improving the robustness is ineluctable when deploying stereo-matching models…
LSSANet: A Long Short Slice-Aware Network for Pulmonary Nodule Detection
Rui Xu, Yong Luo, Bo Du +2
Convolutional neural networks (CNNs) have been demonstrated to be highly effective in the field of pulmonary nodule detection. However, existing CNN based pulmonary nodule detectio…
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Baoli Sun, Xinchen Ye, Baopu Li +3
Existing color-guided depth super-resolution (DSR) approaches require paired RGB-D data as training samples where the RGB image is used as structural guidance to recover the degrad…
Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network
Rui Xu, Tiantian Liu, Xinchen Ye +1
Many deep learning based methods have been proposed for retinal vessel segmentation, however few of them focus on the connectivity of segmented vessels, which is quite important fo…