Zobrazeno 1 - 10
of 741
pro vyhledávání: '"Yang, Shiqi"'
Autor:
Yang, Shiqi, Liu, Minghuan, Qin, Yuzhe, Ding, Runyu, Li, Jialong, Cheng, Xuxin, Yang, Ruihan, Yi, Sha, Wang, Xiaolong
Learning from demonstrations has shown to be an effective approach to robotic manipulation, especially with the recently collected large-scale robot data with teleoperation systems. Building an efficient teleoperation system across diverse robot plat
Externí odkaz:
http://arxiv.org/abs/2408.11805
Autor:
Ding, Runyu, Qin, Yuzhe, Zhu, Jiyue, Jia, Chengzhe, Yang, Shiqi, Yang, Ruihan, Qi, Xiaojuan, Wang, Xiaolong
Teleoperation is a crucial tool for collecting human demonstrations, but controlling robots with bimanual dexterous hands remains a challenge. Existing teleoperation systems struggle to handle the complexity of coordinating two hands for intricate ma
Externí odkaz:
http://arxiv.org/abs/2407.03162
Teleoperation serves as a powerful method for collecting on-robot data essential for robot learning from demonstrations. The intuitiveness and ease of use of the teleoperation system are crucial for ensuring high-quality, diverse, and scalable data.
Externí odkaz:
http://arxiv.org/abs/2407.01512
Autor:
Comunità, Marco, Zhong, Zhi, Takahashi, Akira, Yang, Shiqi, Zhao, Mengjie, Saito, Koichi, Ikemiya, Yukara, Shibuya, Takashi, Takahashi, Shusuke, Mitsufuji, Yuki
Recent advances in generative models that iteratively synthesize audio clips sparked great success to text-to-audio synthesis (TTA), but with the cost of slow synthesis speed and heavy computation. Although there have been attempts to accelerate the
Externí odkaz:
http://arxiv.org/abs/2406.17672
Autor:
Huang, Xinyue, Song, Zhigang, Gao, Yuchen, Gu, Pingfan, Watanabe, Kenji, Taniguchi, Takashi, Yang, Shiqi, Chen, Zuxin, Ye, Yu
We present a comprehensive investigation of optical properties in MoSe$_2$/CrSBr heterostructures, unveiling the presence of localized excitons represented by a new emission feature, X$^*$. We demonstrate through temperature- and power-dependent phot
Externí odkaz:
http://arxiv.org/abs/2405.16079
Autor:
Yang, Shiqi, Zhong, Zhi, Zhao, Mengjie, Takahashi, Shusuke, Ishii, Masato, Shibuya, Takashi, Mitsufuji, Yuki
In recent years, with the realistic generation results and a wide range of personalized applications, diffusion-based generative models gain huge attention in both visual and audio generation areas. Compared to the considerable advancements of text2i
Externí odkaz:
http://arxiv.org/abs/2405.14598
Autor:
Yang, Shiqi, Xu, Xiaolong, Gao, Yuchen, Guzman, Roger, Gu, Pingfan, Wang, Huan, Huang, Yuan, Zhou, Wu, Xia, Tianlong, Ye, Yu
The study of the mechanism of exchange bias phenomena and the achievement of its efficient control are of great importance, as it promotes the revelation of unique exchange interactions and the development of exotic applications. However, it is chall
Externí odkaz:
http://arxiv.org/abs/2405.02549
CycleGAN has been proven to be an advanced approach for unsupervised image restoration. This framework consists of two generators: a denoising one for inference and an auxiliary one for modeling noise to fulfill cycle-consistency constraints. However
Externí odkaz:
http://arxiv.org/abs/2402.09101
In a real-world infrared imaging system, effectively learning a consistent stripe noise removal model is essential. Most existing destriping methods cannot precisely reconstruct images due to cross-level semantic gaps and insufficient characterizatio
Externí odkaz:
http://arxiv.org/abs/2401.15578
Autor:
Li, Senmao, Hu, Taihang, Khan, Fahad Shahbaz, Li, Linxuan, Yang, Shiqi, Wang, Yaxing, Cheng, Ming-Ming, Yang, Jian
One of the key components within diffusion models is the UNet for noise prediction. While several works have explored basic properties of the UNet decoder, its encoder largely remains unexplored. In this work, we conduct the first comprehensive study
Externí odkaz:
http://arxiv.org/abs/2312.09608