33 citations · 62 across the 8 of their papers we have counts for
8 papers
Adversarial Feature Augmentation for Cross-domain Few-shot Classification
Yanxu Hu, Andy J. Ma
Existing methods based on meta-learning predict novel-class labels for (target domain) testing tasks via meta knowledge learned from (source domain) training tasks of base classes.…
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
Manlin Zhang, Jinpeng Wang, Andy J. Ma
Despite the great progress in video understanding made by deep convolutional neural networks, feature representation learned by existing methods may be biased to static visual cues…
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
Jinpeng Wang, Yuting Gao, Ke Li +7
Self-supervised learning has shown great potentials in improving the video representation ability of deep neural networks by getting supervision from the data itself. However, some…
Self-supervised Temporal Discriminative Learning for Video Representation Learning
Jinpeng Wang, Yiqi Lin, Andy J. Ma +1
Temporal cues in videos provide important information for recognizing actions accurately. However, temporal-discriminative features can hardly be extracted without using an annotat…
Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition
Jinpeng Wang, Yiqi Lin, Andy J. Ma
Self-supervised learning has shown great potentials in improving the deep learning model in an unsupervised manner by constructing surrogate supervision signals directly from the u…
Dynamic Label Graph Matching for Unsupervised Video Re-Identification
Mang Ye, Andy J Ma, Liang Zheng +2
Label estimation is an important component in an unsupervised person re-identification (re-ID) system. This paper focuses on cross-camera label estimation, which can be subsequentl…