6 citations · 11 across the 6 of their papers we have counts for
6 papers
Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment
Jiahao Xia, Min Xu, Wenjian Huang +3
Despite the similar structures of human faces, existing face alignment methods cannot learn unified knowledge from multiple datasets with different landmark annotations. The limite…
Unsupervised Part Discovery via Dual Representation Alignment
Jiahao Xia, Wenjian Huang, Min Xu +4
Object parts serve as crucial intermediate representations in various downstream tasks, but part-level representation learning still has not received as much attention as other vis…
Enhancing Cross-Dataset Performance of Distracted Driving Detection With Score Softmax Classifier And Dynamic Gaussian Smoothing Supervision
Cong Duan, Zixuan Liu, Jiahao Xia +3
Deep neural networks enable real-time monitoring of in-vehicle drivers, facilitating the timely prediction of distractions, fatigue, and potential hazards. This technology is now i…
Multimodal Hyperspectral Image Classification via Interconnected Fusion
Lu Huo, Jiahao Xia, Leijie Zhang +2
Existing multiple modality fusion methods, such as concatenation, summation, and encoder-decoder-based fusion, have recently been employed to combine modality characteristics of Hy…
Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
Jiahao Xia, Weiwei qu, Wenjian Huang +3
Heatmap regression methods have dominated face alignment area in recent years while they ignore the inherent relation between different landmarks. In this paper, we propose a Spars…
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking
Jiahao Xia, Haimin Zhang, Shiping Wen +2
While Convolutional Neural Networks (CNNs) have significantly boosted the performance of face related algorithms, maintaining accuracy and efficiency simultaneously in practical us…