activity
20202023
most citedMining the Benefits of Two-stage and One-stage HOI Detection

35 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2023

CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction

Liping Zhang, Xiaobo Li, Weitian Chen

Undersampling k-space data in MRI reduces scan time but pose challenges in image reconstruction. Considerable progress has been made in reconstructing accelerated MRI. However, res…

cs.CV2022★ 5 cited

Masked Contrastive Pre-Training for Efficient Video-Text Retrieval

Fangxun Shu, Biaolong Chen, Yue Liao +6

We present a simple yet effective end-to-end Video-language Pre-training (VidLP) framework, Masked Contrastive Video-language Pretraining (MAC), for video-text retrieval tasks. Our…

cs.CV2021★ 35 cited

Mining the Benefits of Two-stage and One-stage HOI Detection

Aixi Zhang, Yue Liao, Si Liu +4

Two-stage methods have dominated Human-Object Interaction (HOI) detection for several years. Recently, one-stage HOI detection methods have become popular. In this paper, we aim to…

cs.CV2021★ 1 cited

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…

cs.CV2020

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.…