6 papers
FreqGRL: Suppressing Low-Frequency Bias and Mining High-Frequency Knowledge for Cross-Domain Few-Shot Learning
Siqi Hui, Sanping Zhou, Ye deng +2
Cross-domain few-shot learning (CD-FSL) aims to recognize novel classes with only a few labeled examples under significant domain shifts. While recent approaches leverage a limited…
CEM-Net: Cross-Emotion Memory Network for Emotional Talking Face Generation
Kangyi Wu, Pengna Li, Jingwen Fu +4
Emotional talking face generation aims to animate a human face in given reference images and generate a talking video that matches the content and emotion of driving audio. However…
Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack
Siqi Hui, Yiren Song, Sanping Zhou +3
Autoregressive (AR) image generation models have gained increasing attention for their breakthroughs in synthesis quality, highlighting the need for robust watermarking to prevent…
Camera-aware Label Refinement for Unsupervised Person Re-identification
Pengna Li, Kangyi Wu, Wenli Huang +2
Unsupervised person re-identification aims to retrieve images of a specified person without identity labels. Many recent unsupervised Re-ID approaches adopt clustering-based method…
REGNav: Room Expert Guided Image-Goal Navigation
Pengna Li, Kangyi Wu, Jingwen Fu +1
Image-goal navigation aims to steer an agent towards the goal location specified by an image. Most prior methods tackle this task by learning a navigation policy, which extracts vi…
Semantic-aware Representation Learning for Homography Estimation
Yuhan Liu, Qianxin Huang, Siqi Hui +5
Homography estimation is the task of determining the transformation from an image pair. Our approach focuses on employing detector-free feature matching methods to address this iss…