Zobrazeno 1 - 10
of 912
pro vyhledávání: '"Chen, Wenchao"'
Noise suppression in seismic data processing is a crucial research focus for enhancing subsequent imaging and reservoir prediction. Deep learning has shown promise in computer vision and holds significant potential for seismic data processing. Howeve
Externí odkaz:
http://arxiv.org/abs/2408.02187
Autor:
Hong, Lingyi, Liu, Zhongying, Chen, Wenchao, Tan, Chenzhi, Feng, Yuang, Zhou, Xinyu, Guo, Pinxue, Li, Jinglun, Chen, Zhaoyu, Gao, Shuyong, Zhang, Wei, Zhang, Wenqiang
Video object segmentation (VOS) aims to distinguish and track target objects in a video. Despite the excellent performance achieved by off-the-shell VOS models, existing VOS benchmarks mainly focus on short-term videos lasting about 5 seconds, where
Externí odkaz:
http://arxiv.org/abs/2404.19326
The forecasting of Multivariate Time Series (MTS) has long been an important but challenging task. Due to the non-stationary problem across long-distance time steps, previous studies primarily adopt stationarization method to attenuate the non-statio
Externí odkaz:
http://arxiv.org/abs/2403.05406
Autor:
Yan, Shilin, Xu, Xiaohao, Zhang, Renrui, Hong, Lingyi, Chen, Wenchao, Zhang, Wenqiang, Zhang, Wei
Panoramic videos contain richer spatial information and have attracted tremendous amounts of attention due to their exceptional experience in some fields such as autonomous driving and virtual reality. However, existing datasets for video segmentatio
Externí odkaz:
http://arxiv.org/abs/2309.12303
Autor:
Tian, Long, Feng, Jingyi, Chen, Wenchao, Chai, Xiaoqiang, Wang, Liming, Liu, Xiyang, Chen, Bo
Transductive Few-Shot Learning (TFSL) has recently attracted increasing attention since it typically outperforms its inductive peer by leveraging statistics of query samples. However, previous TFSL methods usually encode uniform prior that all the cl
Externí odkaz:
http://arxiv.org/abs/2308.03047
Autor:
Yan, Shilin, Zhang, Renrui, Guo, Ziyu, Chen, Wenchao, Zhang, Wei, Li, Hongyang, Qiao, Yu, Dong, Hao, He, Zhongjiang, Gao, Peng
Recently, video object segmentation (VOS) referred by multi-modal signals, e.g., language and audio, has evoked increasing attention in both industry and academia. It is challenging for exploring the semantic alignment within modalities and the visua
Externí odkaz:
http://arxiv.org/abs/2305.16318
Autor:
Yan, Jun-Yong, Chen, Chen, Zhang, Xiao-Dong, Wang, Yu-Tong, Babin, Hans-Georg, Wieck, Andreas D., Ludwig, Arne, Meng, Yun, Hu, Xiaolong, Duan, Huali, Chen, Wenchao, Fang, Wei, Cygorek, Moritz, Lin, Xing, Wang, Da-Wei, Jin, Chao-Yuan, Liu, Feng
Coherently driven semiconductor quantum dots are one of the most promising platforms for non-classical light sources and quantum logic gates which form the foundation of photonic quantum technologies. However, to date, coherent manipulation of single
Externí odkaz:
http://arxiv.org/abs/2212.10749
Autor:
Hong, Lingyi, Chen, Wenchao, Liu, Zhongying, Zhang, Wei, Guo, Pinxue, Chen, Zhaoyu, Zhang, Wenqiang
Existing video object segmentation (VOS) benchmarks focus on short-term videos which just last about 3-5 seconds and where objects are visible most of the time. These videos are poorly representative of practical applications, and the absence of long
Externí odkaz:
http://arxiv.org/abs/2211.10181
Publikováno v:
In Microelectronics Journal August 2024 150
Autor:
Zhang, Chenglei, Yang, Qingkun, Huang, Qiangtai, Chen, Wenchao, Cao, Yudong, Yu, Haotong, Duan, Hongfei
Publikováno v:
In Gondwana Research August 2024 132:20-31