80 citations · 140 across the 34 of their papers we have counts for
5 papers · 1 filter
Semi-supervised Deep Large-baseline Homography Estimation with Progressive Equivalence Constraint
Hai Jiang, Haipeng Li, Yuhang Lu +2
Homography estimation is erroneous in the case of large-baseline due to the low image overlay and limited receptive field. To address it, we propose a progressive estimation strate…
Cross-domain Few-shot Segmentation with Transductive Fine-tuning
Yuhang Lu, Xinyi Wu, Zhenyao Wu +1
Few-shot segmentation (FSS) expects models trained on base classes to work on novel classes with the help of a few support images. However, when there exists a domain gap between t…
Unsupervised Homography Estimation with Coplanarity-Aware GAN
Mingbo Hong, Yuhang Lu, Nianjin Ye +3
Estimating homography from an image pair is a fundamental problem in image alignment. Unsupervised learning methods have received increasing attention in this field due to their pr…
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions
Yuhang Lu, Touradj Ebrahimi
Deep convolutional neural networks have achieved exceptional results on multiple detection and recognition tasks. However, the performance of such detectors are often evaluated in…
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection
Yuhang Lu, Ruizhi Luo, Touradj Ebrahimi
Deep convolutional neural networks have shown remarkable results on multiple detection tasks. Despite the significant progress, the performance of such detectors are often assessed…