Zobrazeno 1 - 10
of 79 661
pro vyhledávání: '"A. Ryosuke"'
Autor:
Yamada, Ryosuke, Hara, Kensho, Kataoka, Hirokatsu, Makihara, Koshi, Inoue, Nakamasa, Yokota, Rio, Satoh, Yutaka
Throughout the history of computer vision, while research has explored the integration of images (visual) and point clouds (geometric), many advancements in image and 3D object recognition have tended to process these modalities separately. We aim to
Externí odkaz:
http://arxiv.org/abs/2409.13535
Constructing a self-consistent first-principles framework that accurately predicts the properties of electron transfer reactions through finite-temperature molecular dynamics simulations is a dream of theoretical electrochemists and physical chemists
Externí odkaz:
http://arxiv.org/abs/2409.11000
We present a contrastive learning framework based on in-the-wild hand images tailored for pre-training 3D hand pose estimators, dubbed HandCLR. Pre-training on large-scale images achieves promising results in various tasks, but prior 3D hand pose pre
Externí odkaz:
http://arxiv.org/abs/2409.09714
In this review, we give an overview of the proposed applications in the early-FTQC (EFTQC) era. Starting from the error correction architecture for EFTQC device, we first review the recently developed space-time efficient analogue rotation (STAR) arc
Externí odkaz:
http://arxiv.org/abs/2409.07749
In feed-forward neural networks, dataset-free weight-initialization method such as LeCun, Xavier (or Glorot), and He initializations have been developed. These methods randomly determine the initial values of weight parameters based on specific distr
Externí odkaz:
http://arxiv.org/abs/2409.07708
Autor:
Katagiri, Kento, Pikuz, Tatiana, Fang, Lichao, Albertazzi, Bruno, Egashira, Shunsuke, Inubushi, Yuichi, Kamimura, Genki, Kodama, Ryosuke, Koenig, Michel, Kozioziemski, Bernard, Masaoka, Gooru, Miyanishi, Kohei, Nakamura, Hirotaka, Ota, Masato, Rigon, Gabriel, Sakawa, Youichi, Sano, Takayoshi, Schoofs, Frank, Smith, Zoe J., Sueda, Keiichi, Togashi, Tadashi, Vinci, Tommaso, Wang, Yifan, Yabashi, Makina, Yabuuchi, Toshinori, Dresselhaus-Marais, Leora E., Ozaki, Norimasa
In their comment (1), Hawreliak et al. claims that our observation of stacking fault formation and transonic dislocation propagation in diamond (2) is not valid as they interpret the observed features as cracks. In this response letter, we describe o
Externí odkaz:
http://arxiv.org/abs/2409.05984
This paper introduces a data assimilation (DA) framework based on the extended Kalman filter-cell transmission model, designed to assist jam-absorption driving (JAD) operation to alleviate sag traffic congestion. To ascertain and demonstrate the effe
Externí odkaz:
http://arxiv.org/abs/2409.03968
Autor:
Makarov, Sergey S., Grigoryev, Sergey A., Zhakhovsky, Vasily V., Chuprov, Petr, Pikuz, Tatiana A., Inogamov, Nail A., Khokhlov, Victor V., Petrov, Yuri V., Perov, Eugene, Shepelev, Vadim, Shobu, Takehisa, Tominaga, Aki, Rapp, Ludovic, Rode, Andrei V., Juodkazis, Saulius, Makita, Mikako, Nakatsutsumi, Motoaki, Preston, Thomas R., Appel, Karen, Konopkova, Zuzana, Cerantola, Valerio, Brambrink, Erik, Schwinkendorf, Jan-Patrick, Mohacsi, István, Vozda, Vojtech, Hajkova, Vera, Burian, Tomas, Chalupsky, Jaromir, Juha, Libor, Ozaki, Norimasa, Kodama, Ryosuke, Zastrau, Ulf, Pikuz, Sergey A.
Sub-picosecond optical laser processing of metals is actively utilized for modification of a heated surface layer. But for deeper modification of different materials a laser in the hard x-ray range is required. Here, we demonstrate that a single 9-ke
Externí odkaz:
http://arxiv.org/abs/2409.03625
In the context of a metric measure space $(X,d,\mu)$, we explore the potential-theoretic implications of having a finite-dimensional Besov space. We prove that if the dimension of the Besov space $B^\theta_{p,p}(X)$ is $k>1$, then $X$ can be decompos
Externí odkaz:
http://arxiv.org/abs/2409.01292
Autor:
Ohtani, Go, Tadokoro, Ryu, Yamada, Ryosuke, Asano, Yuki M., Laina, Iro, Rupprecht, Christian, Inoue, Nakamasa, Yokota, Rio, Kataoka, Hirokatsu, Aoki, Yoshimitsu
In this work, we investigate the understudied effect of the training data used for image super-resolution (SR). Most commonly, novel SR methods are developed and benchmarked on common training datasets such as DIV2K and DF2K. However, we investigate
Externí odkaz:
http://arxiv.org/abs/2409.00768