32 citations · 130 across the 12 of their papers we have counts for
7 papers · 1 filter
Degenerate Swin to Win: Plain Window-based Transformer without Sophisticated Operations
Tan Yu, Ping Li
The formidable accomplishment of Transformers in natural language processing has motivated the researchers in the computer vision community to build Vision Transformers. Compared w…
R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition
Shuo Chen, Tan Yu, Ping Li
Recently, vision architectures based exclusively on multi-layer perceptrons (MLPs) have gained much attention in the computer vision community. MLP-like models achieve competitive…
Prompting through Prototype: A Prototype-based Prompt Learning on Pretrained Vision-Language Models
Yue Zhang, Hongliang Fei, Dingcheng Li +2
Prompt learning is a new learning paradigm which reformulates downstream tasks as similar pretraining tasks on pretrained models by leveraging textual prompts. Recent works have de…
Decomposing User-APP Graph into Subgraphs for Effective APP and User Embedding Learning
Tan Yu, Jun Zhi, Yufei Zhang +3
APP-installation information is helpful to describe the user's characteristics. The users with similar APPs installed might share several common interests and behave similarly in s…
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Tan Yu, Zhipeng Jin, Jie Liu +3
Existing advertisements click-through rate (CTR) prediction models are mainly dependent on behavior ID features, which are learned based on the historical user-ad interactions. Nev…
Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising
Tan Yu, Jie Liu, Yi Yang +3
The advancement of the communication technology and the popularity of the smart phones foster the booming of video ads. Baidu, as one of the leading search engine companies in the…
BOAT: Bilateral Local Attention Vision Transformer
Tan Yu, Gangming Zhao, Ping Li +1
Vision Transformers achieved outstanding performance in many computer vision tasks. Early Vision Transformers such as ViT and DeiT adopt global self-attention, which is computation…