3 citations · 4 across the 4 of their papers we have counts for
4 papers
Action Sensitivity Learning for Temporal Action Localization
Jiayi Shao, Xiaohan Wang, Ruijie Quan +3
Temporal action localization (TAL), which involves recognizing and locating action instances, is a challenging task in video understanding. Most existing approaches directly predic…
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
Jiange Yang, Sheng Guo, Gangshan Wu +1
Current RGB-D scene recognition approaches often train two standalone backbones for RGB and depth modalities with the same Places or ImageNet pre-training. However, the pre-trained…
Multi-Granularity Network with Modal Attention for Dense Affective Understanding
Baoming Yan, Lin Wang, Ke Gao +5
Video affective understanding, which aims to predict the evoked expressions by the video content, is desired for video creation and recommendation. In the recent EEV challenge, a d…
Augmented Bi-path Network for Few-shot Learning
Baoming Yan, Chen Zhou, Bo Zhao +5
Few-shot Learning (FSL) which aims to learn from few labeled training data is becoming a popular research topic, due to the expensive labeling cost in many real-world applications.…