Zobrazeno 11 - 20
of 2 921
pro vyhledávání: '"Wang, Siqi"'
Autor:
Chen, Zitong, Pham, Chau, Wang, Siqi, Doron, Michael, Moshkov, Nikita, Plummer, Bryan A., Caicedo, Juan C.
Most neural networks assume that input images have a fixed number of channels (three for RGB images). However, there are many settings where the number of channels may vary, such as microscopy images where the number of channels changes depending on
Externí odkaz:
http://arxiv.org/abs/2310.19224
Autor:
Chen, Cheng, Tang, Weichen, Chen, Xiang, Kang, Zhibo, Ding, Shuhan, Scott, Kirsty, Wang, Siqi, Li, Zhenglu, Ruff, Jacob P. C., Hashimoto, Makoto, Lu, Dong-Hui, Jozwiak, Chris, Bostwick, Aaron, Rotenberg, Eli, Neto, Eduardo H. da Silva, Birgeneau, Robert J., Chen, Yulin, Louie, Steven G., Wang, Yao, He, Yu
During a band-gap-tuned semimetal-to-semiconductor transition, Coulomb attraction between electrons and holes can cause spontaneously formed excitons near the zero-band-gap point, or the Lifshitz transition point. This has become an important route t
Externí odkaz:
http://arxiv.org/abs/2309.07111
3D human pose estimation in outdoor environments has garnered increasing attention recently. However, prevalent 3D human pose datasets pertaining to outdoor scenes lack diversity, as they predominantly utilize only one type of modality (RGB image or
Externí odkaz:
http://arxiv.org/abs/2308.00628
Autor:
Wang, Siqi, Plummer, Bryan A.
Learning with noisy labels (LNL) is challenging as the model tends to memorize noisy labels, which can lead to overfitting. Many LNL methods detect clean samples by maximizing the similarity between samples in each category, which does not make any a
Externí odkaz:
http://arxiv.org/abs/2306.11911
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects. Existing methods typically estimate the object likelihood with an additional objectness branc
Externí odkaz:
http://arxiv.org/abs/2306.02275
Publikováno v:
Journal of Nematology, Vol 56, Iss 1, Pp 429-514 (2024)
Nematodes play a vital ecological role in soil and marine ecosystems, but there is limited information about their dietary diversity and feeding habits. Due to methodological challenges, the available information is based on inference rather than con
Externí odkaz:
https://doaj.org/article/5652f867ba9f42d1835882d955817892
As an emerging network model, spiking neural networks (SNNs) have aroused significant research attentions in recent years. However, the energy-efficient binary spikes do not augur well with gradient descent-based training approaches. Surrogate gradie
Externí odkaz:
http://arxiv.org/abs/2304.13289
Autor:
Jiang, Zhuoran, Wang, Siqi, Xu, Yifei, Sun, Leshan, Gonzalez, Gilberto, Chen, Yong, Wu, Q. Jackie, Xiang, Liangzhong, Ren, Lei
Radiation-induced acoustic (RA) imaging is a promising technique for visualizing radiation energy deposition in tissues, enabling new imaging modalities and real-time therapy monitoring. However, it requires measuring hundreds or even thousands of av
Externí odkaz:
http://arxiv.org/abs/2304.13868
Automatic detection of multimodal fake news has gained a widespread attention recently. Many existing approaches seek to fuse unimodal features to produce multimodal news representations. However, the potential of powerful cross-modal contrastive lea
Externí odkaz:
http://arxiv.org/abs/2302.14057
Publikováno v:
Kybernetes, 2023, Vol. 53, Issue 5, pp. 1814-1832.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-05-2022-0788