Zobrazeno 1 - 10
of 112 551
pro vyhledávání: '"P P, Chong"'
Due to the success of the Standard Model~(SM), it is reasonable to anticipate that, the signal of new physics~(NP) beyond the SM is small, and future searches for NP and precision tests of the SM will require high luminosity collider experiments. Mor
Externí odkaz:
http://arxiv.org/abs/2410.18847
Autor:
Xiong, Yunyang, Zhou, Chong, Xiang, Xiaoyu, Wu, Lemeng, Zhu, Chenchen, Liu, Zechun, Suri, Saksham, Varadarajan, Balakrishnan, Akula, Ramya, Iandola, Forrest, Krishnamoorthi, Raghuraman, Soran, Bilge, Chandra, Vikas
Segment Anything Model 2 (SAM 2) has emerged as a powerful tool for video object segmentation and tracking anything. Key components of SAM 2 that drive the impressive video object segmentation performance include a large multistage image encoder for
Externí odkaz:
http://arxiv.org/abs/2411.18933
Autor:
Yao, Changyu, Shi, Yinyao, Jung, Ji-In, Vaci, Zoltan, Wang, Yizhou, Liu, Zhongyuan, Yu, Yue, Zhang, Chuanwei, Tikoo-Schantz, Sonia, Zu, Chong
Understanding the intricate magnetic structures of materials is crucial for the advancements in material science, spintronics, and geology. Recent developments of quantum-enabled magnetometers, such as nitrogen-vacancy (NV) centers in diamond, have e
Externí odkaz:
http://arxiv.org/abs/2411.18882
In this paper we focus on a discrete physical model describing granular crystals, whose equations of motion can be described by a system of differential difference equations (DDEs). After revisiting earlier continuum approximations, we propose a regu
Externí odkaz:
http://arxiv.org/abs/2411.17874
Current diffusion models for human image animation struggle to ensure identity (ID) consistency. This paper presents StableAnimator, the first end-to-end ID-preserving video diffusion framework, which synthesizes high-quality videos without any post-
Externí odkaz:
http://arxiv.org/abs/2411.17697
In real-world scenarios, most of the data obtained from information retrieval (IR) system is unstructured. Converting natural language sentences into structured Knowledge Graphs (KGs) remains a critical challenge. The quality of constructed KGs may a
Externí odkaz:
http://arxiv.org/abs/2411.17388
As Convolutional Neural Networks (CNNs) become increasingly prevalent in deep learning applications, numerous algorithms, such as the Winograd algorithm, have been proposed to enhance their efficiency. However, existing implementations of Winograd Co
Externí odkaz:
http://arxiv.org/abs/2411.16152
Interacting or nonlinear lattices can host emergent particle-like modes, such as Bogoliubov quasiparticles, whose band topology and other properties are potentially highly tunable. Despite originating in the study of superconducting materials, Bogoli
Externí odkaz:
http://arxiv.org/abs/2411.13841
Terahertz (THz) communication is envisioned as a key technology for 6G and beyond wireless systems owing to its multi-GHz bandwidth. To maintain the same aperture area and the same link budget as the lower frequencies, ultra-massive multi-input and m
Externí odkaz:
http://arxiv.org/abs/2411.14699
Autor:
Tian, Rui, Dai, Qi, Bao, Jianmin, Qiu, Kai, Yang, Yifan, Luo, Chong, Wu, Zuxuan, Jiang, Yu-Gang
Commercial video generation models have exhibited realistic, high-fidelity results but are still restricted to limited access. One crucial obstacle for large-scale applications is the expensive training and inference cost. In this paper, we argue tha
Externí odkaz:
http://arxiv.org/abs/2411.13552