20 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Graph Propagation Transformer for Graph Representation Learning
Zhe Chen, Hao Tan, Tao Wang +5
This paper presents a novel transformer architecture for graph representation learning. The core insight of our method is to fully consider the information propagation among nodes…
cs.CV2022★ 20 cited
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
Tao Wang, Kaihao Zhang, Tianrun Shen +3
As the quality of optical sensors improves, there is a need for processing large-scale images. In particular, the ability of devices to capture ultra-high definition (UHD) images a…
cs.CV2022★ 2 cited
Learning Second Order Local Anomaly for General Face Forgery Detection
Jianwei Fei, Yunshu Dai, Peipeng Yu +3
In this work, we propose a novel method to improve the generalization ability of CNN-based face forgery detectors. Our method considers the feature anomalies of forged faces caused…