32 citations · 41 across the 7 of their papers we have counts for
7 papers
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
Yunhao Li, Zhen Xiao, Lin Yang +4
Multi-object tracking (MOT) is a fundamental problem in computer vision with numerous applications, such as intelligent surveillance and automated driving. Despite the significant…
Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering
Wenjin Wang, Yunhao Li, Yixin Ou +1
Layout-aware pre-trained models has achieved significant progress on document image question answering. They introduce extra learnable modules into existing language models to capt…
GANHead: Towards Generative Animatable Neural Head Avatars
Sijing Wu, Yichao Yan, Yunhao Li +5
To bring digital avatars into people's lives, it is highly demanded to efficiently generate complete, realistic, and animatable head avatars. This task is challenging, and it is di…
Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning
Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang +6
We present a reinforcement learning (RL) framework that enables quadrupedal robots to perform soccer goalkeeping tasks in the real world. Soccer goalkeeping using quadrupeds is a c…
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening
Yunhao Li, Zhenbo Yu, Yucheng Zhu +3
Human motion synthesis is a long-standing problem with various applications in digital twins and the Metaverse. However, modern deep learning based motion synthesis approaches bare…
Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory
Yunhao Li, Yunyi Yang, Xiaojun Quan +1
Dialogue policy learning, a subtask that determines the content of system response generation and then the degree of task completion, is essential for task-oriented dialogue system…
UBAR: Towards Fully End-to-End Task-Oriented Dialog Systems with GPT-2
Yunyi Yang, Yunhao Li, Xiaojun Quan
This paper presents our task-oriented dialog system UBAR which models task-oriented dialogs on a dialog session level. Specifically, UBAR is acquired by fine-tuning the large pre-t…