activity
20172023
most citedEfficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training

52 citations · 92 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023

Learning Efficient Representations for Image-Based Patent Retrieval

Hongsong Wang, Yuqi Zhang

Patent retrieval has been attracting tremendous interest from researchers in intellectual property and information retrieval communities in the past decades. However, most existing…

cs.CV2023

Graph Convolution Based Efficient Re-Ranking for Visual Retrieval

Yuqi Zhang, Qi Qian, Hongsong Wang +3

Visual retrieval tasks such as image retrieval and person re-identification (Re-ID) aim at effectively and thoroughly searching images with similar content or the same identity. Af…

cs.CV2023★ 52 cited

Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training

Chong Liu, Yuqi Zhang, Hongsong Wang +5

Image-text retrieval is a central problem for understanding the semantic relationship between vision and language, and serves as the basis for various visual and language tasks. Mo…

cs.CV2021★ 1 cited

AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection

Hongsong Wang, Shengcai Liao, Ling Shao

Unsupervised domain adaptation for object detection is a challenging problem with many real-world applications. Unfortunately, it has received much less attention than supervised o…

cs.CV2019★ 10 cited

PVRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction

Hongsong Wang, Jian Dong, Bin Cheng +1

Human motion prediction, which aims to predict future human poses given past poses, has recently seen increased interest. Many recent approaches are based on Recurrent Neural Netwo…

cs.CV2017★ 29 cited

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks

Hongsong Wang, Liang Wang

Recently, skeleton based action recognition gains more popularity due to cost-effective depth sensors coupled with real-time skeleton estimation algorithms. Traditional approaches…