15 citations · 26 across the 6 of their papers we have counts for
6 papers
A Reference-Based 3D Semantic-Aware Framework for Accurate Local Facial Attribute Editing
Yu-Kai Huang, Yutong Zheng, Yen-Shuo Su +4
Facial attribute editing plays a crucial role in synthesizing realistic faces with specific characteristics while maintaining realistic appearances. Despite advancements, challenge…
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
Ran Tao, Han Zhang, Yutong Zheng +1
In recent works, utilizing a deep network trained on meta-training set serves as a strong baseline in few-shot learning. In this paper, we move forward to refine novel-class featur…
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement
Zhiqiang Shen, Zhankui He, Wanyun Cui +4
Generic Image recognition is a fundamental and fairly important visual problem in computer vision. One of the major challenges of this task lies in the fact that single image usual…
Ring loss: Convex Feature Normalization for Face Recognition
Yutong Zheng, Dipan K. Pal, Marios Savvides
We motivate and present Ring loss, a simple and elegant feature normalization approach for deep networks designed to augment standard loss functions such as Softmax. We argue that…
Towards a Deep Learning Framework for Unconstrained Face Detection
Yutong Zheng, Chenchen Zhu, Khoa Luu +3
Robust face detection is one of the most important pre-processing steps to support facial expression analysis, facial landmarking, face recognition, pose estimation, building of 3D…
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
Chenchen Zhu, Yutong Zheng, Khoa Luu +1
Robust face detection in the wild is one of the ultimate components to support various facial related problems, i.e. unconstrained face recognition, facial periocular recognition,…