Zobrazeno 1 - 10
of 91 082
pro vyhledávání: '"Kim, Young-A."'
Autor:
Lee, Ji-Eun, Wang, Aifeng, Chen, Shuzhang, Kwon, Minseong, Hwang, Jinwoong, Cho, Minhyun, Son, Ki-Hoon, Han, Dong-Soo, Choi, Jun Woo, Kim, Young Duck, Mo, Sung-Kwan, Petrovic, Cedomir, Hwang, Choongyu, Park, Se Young, Jang, Chaun, Ryu, Hyejin
Publikováno v:
Nature Communications 15, 3971 (2024)
The Berry curvature dipole (BCD) serves as a one of the fundamental contributors to emergence of the nonlinear Hall effect (NLHE). Despite intense interest due to its potential for new technologies reaching beyond the quantum efficiency limit, the in
Externí odkaz:
http://arxiv.org/abs/2408.11658
Artificial intelligence applied to retinal images offers significant potential for recognizing signs and symptoms of retinal conditions and expediting the diagnosis of eye diseases and systemic disorders. However, developing generalized artificial in
Externí odkaz:
http://arxiv.org/abs/2408.08790
We present an inverse image-formation module that can enhance the robustness of existing visual SLAM pipelines for casually captured scenarios. Casual video captures often suffer from motion blur and varying appearances, which degrade the final quali
Externí odkaz:
http://arxiv.org/abs/2407.11347
Autor:
Jeong, Seung Gyo, Cho, Seong Won, Song, Sehwan, Oh, Jin Young, Jeong, Do Gyeom, Han, Gyeongtak, Jeong, Hu Young, Mohamed, Ahmed Yousef, Noh, Woo-suk, Park, Sungkyun, Lee, Jong Seok, Lee, Suyoun, Kim, Young-Min, Cho, Deok-Yong, Choi, Woo Seok
Publikováno v:
published 2024
Magnetic anisotropy in atomically thin correlated heterostructures is essential for exploring quantum magnetic phases for next-generation spintronics. Whereas previous studies have mostly focused on van der Waals systems, here, we investigate the imp
Externí odkaz:
http://arxiv.org/abs/2407.03231
We categorify the quantum Borcherds-Bozec algebras by constructing their associated Khovanov-Lauda-Rouquier algebras.
Externí odkaz:
http://arxiv.org/abs/2406.18378
We cast the relation between chemical compositions of solid-state materials and their superconducting critical temperature (Tc) in terms of a statistical learning problem with reduced complexity. Training of query-aware similarity-based ridge regress
Externí odkaz:
http://arxiv.org/abs/2406.14524
Knowledge distillation (KD) is a technique used to transfer knowledge from an overparameterized teacher network to a less-parameterized student network, thereby minimizing the incurred performance loss. KD methods can be categorized into offline and
Externí odkaz:
http://arxiv.org/abs/2406.08528
Autor:
Zhang, Dongsu, Williams, Francis, Gojcic, Zan, Kreis, Karsten, Fidler, Sanja, Kim, Young Min, Kar, Amlan
We aim to generate fine-grained 3D geometry from large-scale sparse LiDAR scans, abundantly captured by autonomous vehicles (AV). Contrary to prior work on AV scene completion, we aim to extrapolate fine geometry from unlabeled and beyond spatial lim
Externí odkaz:
http://arxiv.org/abs/2406.08292
Ranking distributions according to a stochastic order has wide applications in diverse areas. Although stochastic dominance has received much attention,convex order, particularly in general dimensions, has yet to be investigated from a statistical po
Externí odkaz:
http://arxiv.org/abs/2406.02840
Autor:
Kim, Young Ho
In this paper, we study interior estimates for solutions to linearized Monge-Amp\`ere equations in divergence form with drift terms and the right-hand side containing the divergence of a bounded vector field. Equations of this type appear in the stud
Externí odkaz:
http://arxiv.org/abs/2405.11745