Although the pre-training followed by fine-tuning paradigm is used
exten...
In recent years, 3D representation learning has turned to 2D vision-lang...
In recent years, data-driven reinforcement learning (RL), also known as
...
This work proposes a novel face-swapping framework FlowFace++, utilizing...
To facilitate research in the direction of fine-tuning foundation models...
For few-shot learning, it is still a critical challenge to realize
photo...
Recent advances in multi-agent reinforcement learning (MARL) allow agent...
Determining causal effects of temporal multi-intervention assists
decisi...
As a fine-grained and local expression behavior measurement, facial acti...
Recent years have witnessed the great accuracy performance of graph-base...
The development of deep reinforcement learning (DRL) has benefited from ...
Experience reuse is key to sample-efficient reinforcement learning. One ...
Despite deep reinforcement learning has recently achieved great successe...