8 citations · 9 across the 5 of their papers we have counts for
5 papers
CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model
Ziyu Yao, Xuxin Cheng, Zhiqi Huang +1
Repetitive action counting, which aims to count periodic movements in a video, is valuable for video analysis applications such as fitness monitoring. However, existing methods lar…
CAR: Controllable Autoregressive Modeling for Visual Generation
Ziyu Yao, Jialin Li, Yifeng Zhou +6
Controllable generation, which enables fine-grained control over generated outputs, has emerged as a critical focus in visual generative models. Currently, there are two primary te…
Recovering Global Data Distribution Locally in Federated Learning
Ziyu Yao
Federated Learning (FL) is a distributed machine learning paradigm that enables collaboration among multiple clients to train a shared model without sharing raw data. However, a ma…
FD2Talk: Towards Generalized Talking Head Generation with Facial Decoupled Diffusion Model
Ziyu Yao, Xuxin Cheng, Zhiqi Huang
Talking head generation is a significant research topic that still faces numerous challenges. Previous works often adopt generative adversarial networks or regression models, which…
PoseRAC: Pose Saliency Transformer for Repetitive Action Counting
Ziyu Yao, Xuxin Cheng, Yuexian Zou
This paper presents a significant contribution to the field of repetitive action counting through the introduction of a new approach called Pose Saliency Representation. The propos…