2 citations · 3 across the 5 of their papers we have counts for
5 papers
Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features
Haixu Liu, Penghao Jiang, Zerui Tao +2
Predicting plant species composition in specific spatiotemporal contexts plays an important role in biodiversity management and conservation, as well as in improving species identi…
Google is all you need: Semi-Supervised Transfer Learning Strategy For Light Multimodal Multi-Task Classification Model
Haixu Liu, Penghao Jiang, Zerui Tao
As the volume of digital image data increases, the effectiveness of image classification intensifies. This study introduces a robust multi-label classification system designed to a…
Multi-Modal Video Feature Extraction for Popularity Prediction
Haixu Liu, Wenning Wang, Haoxiang Zheng +4
This work aims to predict the popularity of short videos using the videos themselves and their related features. Popularity is measured by four key engagement metrics: view count,…
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation
Haixu Liu, Zerui Tao, Wenzhen Dong +1
This paper provides a novel 3D medical image segmentation model structure called nnY-Net. This name comes from the fact that our model adds a cross-attention module at the bottom o…
Best Transition Matrix Esitimation or Best Label Noise Robustness Classifier? Two Possible Methods to Enhance the Performance of T-revision
Haixu Liu, Zerui Tao, Naihui Zhang +1
Label noise refers to incorrect labels in a dataset caused by human errors or collection defects, which is common in real-world applications and can significantly reduce the accura…