Zobrazeno 1 - 10
of 2 270
pro vyhledávání: '"Li, YunFei"'
Real-world DeepFake videos often undergo various compression operations, resulting in a range of video qualities. These varying qualities diversify the pattern of forgery traces, significantly increasing the difficulty of DeepFake detection. To addre
Externí odkaz:
http://arxiv.org/abs/2410.07633
Representation learning on text-attributed graphs (TAGs) is vital for real-world applications, as they combine semantic textual and contextual structural information. Research in this field generally consist of two main perspectives: local-level enco
Externí odkaz:
http://arxiv.org/abs/2406.12608
Sequential DeepFake detection is an emerging task that aims to predict the manipulation sequence in order. Existing methods typically formulate it as an image-to-sequence problem, employing conventional Transformer architectures for detection. Howeve
Externí odkaz:
http://arxiv.org/abs/2404.13873
This letter proposes a novel hybrid automatic repeat request with chase combining assisted sparse code multiple access (HARQ-CC-SCMA) scheme. Depending on whether the same superimposed packet are retransmitted, synchronous and asynchronous modes are
Externí odkaz:
http://arxiv.org/abs/2404.09814
We present a large language model (LLM) based system to empower quadrupedal robots with problem-solving abilities for long-horizon tasks beyond short-term motions. Long-horizon tasks for quadrupeds are challenging since they require both a high-level
Externí odkaz:
http://arxiv.org/abs/2404.05291
Autor:
Su, Zhi, Huang, Xiaoyu, Ordoñez-Apraez, Daniel, Li, Yunfei, Li, Zhongyu, Liao, Qiayuan, Turrisi, Giulio, Pontil, Massimiliano, Semini, Claudio, Wu, Yi, Sreenath, Koushil
Model-free reinforcement learning is a promising approach for autonomously solving challenging robotics control problems, but faces exploration difficulty without information of the robot's kinematics and dynamics morphology. The under-exploration of
Externí odkaz:
http://arxiv.org/abs/2403.17320
This paper focuses on the challenge of jointly optimizing location and path loss exponent (PLE) in distance-dependent noise. Departing from the conventional independent noise model used in localization and path loss exponent estimation problems, we c
Externí odkaz:
http://arxiv.org/abs/2403.03809
The emerging immersive and autonomous services have posed stringent requirements on both communications and localization. By considering the great potential of reconfigurable intelligent surface (RIS), this paper focuses on the joint channel estimati
Externí odkaz:
http://arxiv.org/abs/2403.01093
Can a quadrupedal robot perform bipedal motions like humans? Although developing human-like behaviors is more often studied on costly bipedal robot platforms, we present a solution over a lightweight quadrupedal robot that unlocks the agility of the
Externí odkaz:
http://arxiv.org/abs/2311.05818
Autor:
Chen, Jiayu, Xu, Zelai, Li, Yunfei, Yu, Chao, Song, Jiaming, Yang, Huazhong, Fang, Fei, Wang, Yu, Wu, Yi
Learning Nash equilibrium (NE) in complex zero-sum games with multi-agent reinforcement learning (MARL) can be extremely computationally expensive. Curriculum learning is an effective way to accelerate learning, but an under-explored dimension for ge
Externí odkaz:
http://arxiv.org/abs/2310.04796