12 citations · 24 across the 6 of their papers we have counts for
6 papers
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
Minghui Chen, Cheng Wen, Feng Zheng +2
Invariance to diverse types of image corruption, such as noise, blurring, or colour shifts, is essential to establish robust models in computer vision. Data augmentation has been t…
RGBD Object Tracking: An In-depth Review
Jinyu Yang, Zhe Li, Song Yan +4
RGBD object tracking is gaining momentum in computer vision research thanks to the development of depth sensors. Although numerous RGBD trackers have been proposed with promising p…
FREE: Feature Refinement for Generalized Zero-Shot Learning
Shiming Chen, Wenjie Wang, Beihao Xia +4
Generalized zero-shot learning (GZSL) has achieved significant progress, with many efforts dedicated to overcoming the problems of visual-semantic domain gap and seen-unseen bias.…
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
Peng Tu, Yawen Huang, Rongrong Ji +2
Semi-supervised learning is a challenging problem which aims to construct a model by learning from a limited number of labeled examples. Numerous methods have been proposed to tack…
Brain Image Synthesis with Unsupervised Multivariate Canonical CSCNet
Yawen Huang, Feng Zheng, Danyang Wang +3
Recent advances in neuroscience have highlighted the effectiveness of multi-modal medical data for investigating certain pathologies and understanding human cognition. However, obt…
Dual-reference Face Retrieval
BingZhang Hu, Feng Zheng, Ling Shao
Face retrieval has received much attention over the past few decades, and many efforts have been made in retrieving face images against pose, illumination, and expression variation…