54 citations · 84 across the 10 of their papers we have counts for
10 papers
SCSA: Exploring the Synergistic Effects Between Spatial and Channel Attention
Yunzhong Si, Huiying Xu, Xinzhong Zhu +4
Channel and spatial attentions have respectively brought significant improvements in extracting feature dependencies and spatial structure relations for various downstream vision t…
Task-Oriented Dexterous Hand Pose Synthesis Using Differentiable Grasp Wrench Boundary Estimator
Jiayi Chen, Yuxing Chen, Jialiang Zhang +1
This work tackles the problem of task-oriented dexterous hand pose synthesis, which involves generating a static hand pose capable of applying a task-specific set of wrenches to ma…
Incomplete Multimodal Learning for Remote Sensing Data Fusion
Yuxing Chen, Maofan Zhao, Lorenzo Bruzzone
The mechanism of connecting multimodal signals through self-attention operation is a key factor in the success of multimodal Transformer networks in remote sensing data fusion task…
Unsupervised CD in satellite image time series by contrastive learning and feature tracking
Yuxing Chen, Lorenzo Bruzzone
While unsupervised change detection using contrastive learning has been significantly improved the performance of literature techniques, at present, it only focuses on the bi-tempo…
VTP: Volumetric Transformer for Multi-view Multi-person 3D Pose Estimation
Yuxing Chen, Renshu Gu, Ouhan Huang +1
This paper presents Volumetric Transformer Pose estimator (VTP), the first 3D volumetric transformer framework for multi-view multi-person 3D human pose estimation. VTP aggregates…
Exploring Global Diversity and Local Context for Video Summarization
Yingchao Pan, Ouhan Huang, Qinghao Ye +4
Video summarization aims to automatically generate a diverse and concise summary which is useful in large-scale video processing. Most of the methods tend to adopt self-attention m…
Self-supervised Remote Sensing Images Change Detection at Pixel-level
Yuxing Chen, Lorenzo Bruzzone
Deep learning techniques have achieved great success in remote sensing image change detection. Most of them are supervised techniques, which usually require large amounts of traini…
Self-supervised Change Detection in Multi-view Remote Sensing Images
Yuxing Chen, Lorenzo Bruzzone
The vast amount of unlabeled multi-temporal and multi-sensor remote sensing data acquired by the many Earth Observation satellites present a challenge for change detection. Recentl…
Self-supervised SAR-optical Data Fusion and Land-cover Mapping using Sentinel-1/-2 Images
Yuxing Chen, Lorenzo Bruzzone
The effective combination of the complementary information provided by the huge amount of unlabeled multi-sensor data (e.g., Synthetic Aperture Radar (SAR) and optical images) is a…
MP-ResNet: Multi-path Residual Network for the Semantic segmentation of High-Resolution PolSAR Images
Lei Ding, Kai Zheng, Dong Lin +4
There are limited studies on the semantic segmentation of high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images due to the scarcity of training data and the inferen…