Zobrazeno 1 - 7
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pro vyhledávání: '"Tay, Francis EH"'
Autor:
Zhang, Zhengshen, Zhou, Lei, Liu, Chenchen, Liu, Zhiyang, Yuan, Chengran, Guo, Sheng, Zhao, Ruiteng, Ang Jr., Marcelo H., Tay, Francis EH
The versatility and adaptability of human grasping catalyze advancing dexterous robotic manipulation. While significant strides have been made in dexterous grasp generation, current research endeavors pivot towards optimizing object manipulation whil
Externí odkaz:
http://arxiv.org/abs/2407.09899
Autor:
Zhou, Lei, Wang, Haozhe, Zhang, Zhengshen, Liu, Zhiyang, Tay, Francis EH, Ang. Jr, adn Marcelo H.
In the realm of robotic grasping, achieving accurate and reliable interactions with the environment is a pivotal challenge. Traditional methods of grasp planning methods utilizing partial point clouds derived from depth image often suffer from reduce
Externí odkaz:
http://arxiv.org/abs/2404.03462
Autor:
Yuan, Li, Chen, Yunpeng, Wang, Tao, Yu, Weihao, Shi, Yujun, Jiang, Zihang, Tay, Francis EH, Feng, Jiashi, Yan, Shuicheng
Transformers, which are popular for language modeling, have been explored for solving vision tasks recently, e.g., the Vision Transformer (ViT) for image classification. The ViT model splits each image into a sequence of tokens with fixed length and
Externí odkaz:
http://arxiv.org/abs/2101.11986
Existing data-dependent hashing methods usually learn hash functions from pairwise or triplet data relationships, which only capture the data similarity locally, and often suffer from low learning efficiency and low collision rate. In this work, we p
Externí odkaz:
http://arxiv.org/abs/1908.00347
In this paper, we present a novel unsupervised video summarization model that requires no manual annotation. The proposed model termed Cycle-SUM adopts a new cycle-consistent adversarial LSTM architecture that can effectively maximize the information
Externí odkaz:
http://arxiv.org/abs/1904.08265
Autor:
Su, Ruidan, Liu, Han, Zhang, Zhengshen, Wang, Haozhe, Zhou, Lei, Liu, Zhiyang, Liu, Chenchen, Tay, Francis EH, Lu, Wen Feng, Ang, Marcelo H.
Publikováno v:
Proceedings of SPIE; March 2024, Vol. 13074 Issue: 1 p130740L-130740L-5, 1176666p
Publikováno v:
Journal of Physics: Conference Series; 2006, Vol. 34 Issue 1, p1127-1131, 5p