32 citations · 130 across the 12 of their papers we have counts for
12 papers
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…
MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting
Xiaoguang Li, Qing Guo, Di Lin +3
Although achieving significant progress, existing deep generative inpainting methods are far from real-world applications due to the low generalization across different scenes. As…
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…
MVT: Multi-view Vision Transformer for 3D Object Recognition
Shuo Chen, Tan Yu, Ping Li
Inspired by the great success achieved by CNN in image recognition, view-based methods applied CNNs to model the projected views for 3D object understanding and achieved excellent…
S-MLPv2: Improved Spatial-Shift MLP Architecture for Vision
Tan Yu, Xu Li, Yunfeng Cai +2
Recently, MLP-based vision backbones emerge. MLP-based vision architectures with less inductive bias achieve competitive performance in image recognition compared with CNNs and vis…
Rethinking Token-Mixing MLP for MLP-based Vision Backbone
Tan Yu, Xu Li, Yunfeng Cai +2
In the past decade, we have witnessed rapid progress in the machine vision backbone. By introducing the inductive bias from the image processing, convolution neural network (CNN) h…
S-MLP: Spatial-Shift MLP Architecture for Vision
Tan Yu, Xu Li, Yunfeng Cai +2
Recently, visual Transformer (ViT) and its following works abandon the convolution and exploit the self-attention operation, attaining a comparable or even higher accuracy than CNN…