1 code implementation • 26 Oct 2023 • Xiao Liang, Tao Shi, Yaoyuan Liang, Te Tao, Shao-Lun Huang
In this paper, we propose DiffusionVG, a novel framework with diffusion models that formulates video grounding as a conditional generation task, where the target span is generated from Gaussian noise inputs and interatively refined in the reverse diffusion process.
1 code implementation • 25 Oct 2023 • Tao Shi, Xiao Liang, Yaoyuan Liang, Xinyi Tong, Shao-Lun Huang
To address these challenges, we propose an efficient and model-agnostic SCL framework named Supervised Sample-Label Contrastive Learning with Soft-HGR Maximal Correlation (SSLCL), which eliminates the need for a large batch size and can be seamlessly integrated with existing ERC models without introducing any model-specific assumptions.
no code implementations • 23 Aug 2023 • Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, Martin Buss
Nevertheless, an important indicator of the driving style, i. e., how an AV reacts to its nearby AVs, is not fully incorporated in the feature design of previous ME-IRL methods.
no code implementations • 22 Dec 2020 • Tommaso Guaita, Lucas Hackl, Tao Shi, Eugene Demler, J. Ignacio Cirac
We introduce new families of pure quantum states that are constructed on top of the well-known Gilmore-Perelomov group-theoretic coherent states.
Quantum Physics Quantum Gases Strongly Correlated Electrons Mathematical Physics Mathematical Physics
no code implementations • 29 Nov 2012 • Sungmin Kim, Tao Shi
Community detection has been one of the central problems in network studies and directed network is particularly challenging due to asymmetry among its links.