52 citations · 88 across the 9 of their papers we have counts for
9 papers
Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring
Huicong Zhang, Haozhe Xie, Hongxun Yao
Video deblurring relies on leveraging information from other frames in the video sequence to restore the blurred regions in the current frame. Mainstream approaches employ bidirect…
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
Xi Chen, Haosen Yang, Huicong Zhang +2
Source-free unsupervised domain adaptation (SFUDA) aims to enable the utilization of a pre-trained source model in an unlabeled target domain without access to source data. Self-tr…
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
Tingting Zheng, Kui Jiang, Hongxun Yao
Multi-Instance Learning (MIL) has shown impressive performance for histopathology whole slide image (WSI) analysis using bags or pseudo-bags. It involves instance sampling, feature…
End-to-End Human Instance Matting
Qinglin Liu, Shengping Zhang, Quanling Meng +3
Human instance matting aims to estimate an alpha matte for each human instance in an image, which is extremely challenging and has rarely been studied so far. Despite some efforts…
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
Shuo Yang, Zhaopan Xu, Kai Wang +4
As one of the most fundamental techniques in multimodal learning, cross-modal matching aims to project various sensory modalities into a shared feature space. To achieve this, mass…
Learning cross space mapping via DNN using large scale click-through logs
Wei Yu, Kuiyuan Yang, Yalong Bai +2
The gap between low-level visual signals and high-level semantics has been progressively bridged by continuous development of deep neural network (DNN). With recent progress of DNN…