Zobrazeno 1 - 10
of 9 841
pro vyhledávání: '"Ma, Rui."'
Autor:
Zhang, Ziyao, Chen, Minjia, Ma, Rui, Sun, Bohao, Wonfor, Adrian, Penty, Richard, Cheng, Qixiang
Photonic integrated switches that are both space and wavelength selective are a highly promising technology for data-intensive applications as they benefit from multi-dimensional manipulation of optical signals. However, scaling these switches normal
Externí odkaz:
http://arxiv.org/abs/2410.05541
Autor:
Simhadri, Harsha Vardhan, Aumüller, Martin, Ingber, Amir, Douze, Matthijs, Williams, George, Manohar, Magdalen Dobson, Baranchuk, Dmitry, Liberty, Edo, Liu, Frank, Landrum, Ben, Karjikar, Mazin, Dhulipala, Laxman, Chen, Meng, Chen, Yue, Ma, Rui, Zhang, Kai, Cai, Yuzheng, Shi, Jiayang, Chen, Yizhuo, Zheng, Weiguo, Wan, Zihao, Yin, Jie, Huang, Ben
The 2023 Big ANN Challenge, held at NeurIPS 2023, focused on advancing the state-of-the-art in indexing data structures and search algorithms for practical variants of Approximate Nearest Neighbor (ANN) search that reflect the growing complexity and
Externí odkaz:
http://arxiv.org/abs/2409.17424
Autor:
Fan, Dongqi, Chen, Tao, Wang, Mingjie, Ma, Rui, Tang, Qiang, Yi, Zili, Wang, Qian, Chang, Liang
Current Pose-Guided Person Image Synthesis (PGPIS) methods depend heavily on large amounts of labeled triplet data to train the generator in a supervised manner. However, they often falter when applied to in-the-wild samples, primarily due to the dis
Externí odkaz:
http://arxiv.org/abs/2409.09593
This paper presents a new mixed finite element method for the Cahn-Hilliard equation. The well-posedness of the mixed formulation is established and the error estimates for its linearized fully discrete scheme are provided. Numerical experiments are
Externí odkaz:
http://arxiv.org/abs/2408.14745
Autor:
Ye, Rui, Li, Guangzhen, Wan, Shuai, Xue, Xiaotian, Wang, Piyu, Qiao, Xin, Li, Hao, Liu, Shijie, Wang, Jiayu, Ma, Rui, Bo, Fang, Zheng, Yuanlin, Dong, Chunhua, Yuan, Luqi, Chen, Xianfeng
Integrated photonics provides an important platform for simulating physical models with high-performance chip-scale devices, where the lattice size and the time-dependence of a model are key ingredients for further enriching the functionality of a ph
Externí odkaz:
http://arxiv.org/abs/2408.00287
This paper proposes a learning framework, RoSE-Opt, to achieve robust and efficient analog circuit parameter optimization. RoSE-Opt has two important features. First, it incorporates key domain knowledge of analog circuit design, such as circuit topo
Externí odkaz:
http://arxiv.org/abs/2407.19150
In this paper, we address the problem of plausible object placement for the challenging task of realistic image composition. We propose DiffPop, the first framework that utilizes plausibility-guided denoising diffusion probabilistic model to learn th
Externí odkaz:
http://arxiv.org/abs/2406.07852
Autor:
Wan, Shuai, Wang, Pi-Yu, Li, Ming, Ma, Rui, Niu, Rui, Sun, Fang-Wen, Bo, Fang, Guo, Guang-Can, Dong, Chun-Hua
Optical frequency combs (OFCs), composed of equally spaced frequency tones, have spurred advancements in communications, spectroscopy, precision measurement and fundamental physics research. A prevalent method for generating OFCs involves the electro
Externí odkaz:
http://arxiv.org/abs/2405.19989
Autor:
Zhao, Boming, Li, Yuan, Sun, Ziyu, Zeng, Lin, Shen, Yujun, Ma, Rui, Zhang, Yinda, Bao, Hujun, Cui, Zhaopeng
Forecasting future scenarios in dynamic environments is essential for intelligent decision-making and navigation, a challenge yet to be fully realized in computer vision and robotics. Traditional approaches like video prediction and novel-view synthe
Externí odkaz:
http://arxiv.org/abs/2405.19745
3D sketches are widely used for visually representing the 3D shape and structure of objects or scenes. However, the creation of 3D sketch often requires users to possess professional artistic skills. Existing research efforts primarily focus on enhan
Externí odkaz:
http://arxiv.org/abs/2405.15305