33 citations · 43 across the 5 of their papers we have counts for
5 papers
Reconstruction and Reenactment Separated Method for Realistic Gaussian Head
Zhiling Ye, Cong Zhou, Xiubao Zhang +3
In this paper, we explore a reconstruction and reenactment separated framework for 3D Gaussians head, which requires only a single portrait image as input to generate controllable…
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives
Sheng Luo, Wei Chen, Wanxin Tian +12
Foundation models have indeed made a profound impact on various fields, emerging as pivotal components that significantly shape the capabilities of intelligent systems. In the cont…
PropagationNet: Propagate Points to Curve to Learn Structure Information
Xiehe Huang, Weihong Deng, Haifeng Shen +2
Deep learning technique has dramatically boosted the performance of face alignment algorithms. However, due to large variability and lack of samples, the alignment problem in uncon…
Metric Classification Network in Actual Face Recognition Scene
Jian Li, Yan Wang, Xiubao Zhang +2
In order to make facial features more discriminative, some new models have recently been proposed. However, almost all of these models use the traditional face verification method,…
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
Wanxin Tian, Zixuan Wang, Haifeng Shen +6
The performance of face detectors has been largely improved with the development of convolutional neural network. However, it remains challenging for face detectors to detect tiny,…