14 citations · 64 across the 14 of their papers we have counts for
5 papers · 1 filter
UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition
Qiufu Li, Xi Jia, Jiancan Zhou +2
Sample-to-class-based face recognition models can not fully explore the cross-sample relationship among large amounts of facial images, while sample-to-sample-based models require…
Recovering high-quality FODs from a reduced number of diffusion-weighted images using a model-driven deep learning architecture
J Bartlett, C E Davey, L A Johnston +1
Fibre orientation distribution (FOD) reconstruction using deep learning has the potential to produce accurate FODs from a reduced number of diffusion-weighted images (DWIs), decrea…
Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D Medical Image Registration
Xi Jia, Alexander Thorley, Alberto Gomez +3
U-Net style networks are commonly utilized in unsupervised image registration to predict dense displacement fields, which for high-resolution volumetric image data is a resource-in…
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
Tiantian Geng, Teng Wang, Jinming Duan +2
Existing audio-visual event localization (AVE) handles manually trimmed videos with only a single instance in each of them. However, this setting is unrealistic as natural videos o…
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation
Wei Chen, Xi Jia, Zhongqun Zhang +4
In this paper, we propose a novel 3D graph convolution based pipeline for category-level 6D pose and size estimation from monocular RGB-D images. The proposed method leverages an e…