Zobrazeno 1 - 10
of 45 753
pro vyhledávání: '"liu, Chang"'
Autor:
Li, Kelin, Wagh, Shubham M, Sharma, Nitish, Bhadani, Saksham, Chen, Wei, Liu, Chang, Kormushev, Petar
Robotic manipulation is essential for the widespread adoption of robots in industrial and home settings and has long been a focus within the robotics community. Advances in artificial intelligence have introduced promising learning-based methods to a
Externí odkaz:
http://arxiv.org/abs/2409.11925
Autor:
Ding, Guangrui, Liu, Chang, Yin, Jiaze, Teng, Xinyan, Tan, Yuying, He, Hongjian, Lin, Haonan, Tian, Lei, Cheng, Ji-Xin
Hyperspectral imaging has been widely used for spectral and spatial identification of target molecules, yet often contaminated by sophisticated noise. Current denoising methods generally rely on independent and identically distributed noise statistic
Externí odkaz:
http://arxiv.org/abs/2409.09910
Autor:
Liang, Bo, Guo, Hong, Zhao, Tianyu, wang, He, Evangelinelis, Herik, Xu, Yuxiang, liu, Chang, Liang, Manjia, Wei, Xiaotong, Yuan, Yong, Xu, Peng, Du, Minghui, Qian, Wei-Liang, Luo, Ziren
Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which occupy a high-dimensional parameter space with numerous variables. Giv
Externí odkaz:
http://arxiv.org/abs/2409.07957
Autor:
Ding, Henghui, Hong, Lingyi, Liu, Chang, Xu, Ning, Yang, Linjie, Fan, Yuchen, Miao, Deshui, Gu, Yameng, Li, Xin, He, Zhenyu, Wang, Yaowei, Yang, Ming-Hsuan, Chai, Jinming, Ma, Qin, Zhang, Junpei, Jiao, Licheng, Liu, Fang, Liu, Xinyu, Zhang, Jing, Zhang, Kexin, Liu, Xu, Li, LingLing, Fang, Hao, Pan, Feiyu, Lu, Xiankai, Zhang, Wei, Cong, Runmin, Tran, Tuyen, Cao, Bin, Zhang, Yisi, Wang, Hanyi, He, Xingjian, Liu, Jing
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th Large-scale Video Object Segmentation (LSVOS) challenge in conjunction
Externí odkaz:
http://arxiv.org/abs/2409.05847
Fiber-form optics extends the high-resolution tomographic imaging capabilities of Optical Coherence Tomography (OCT) to the inside of the human body, i.e., endoscopic OCT. However, it still faces challenges due to the trade-off between probe size, re
Externí odkaz:
http://arxiv.org/abs/2409.01252
Inadequate bounding box modeling in regression tasks constrains the performance of one-stage 3D object detection. Our study reveals that the primary reason lies in two aspects: (1) The limited center-offset prediction seriously impairs the bounding b
Externí odkaz:
http://arxiv.org/abs/2409.00690
Autor:
Chen, Yifei, Zhu, Shenghao, Fang, Zhaojie, Liu, Chang, Zou, Binfeng, Wang, Yuhe, Chang, Shuo, Jia, Fan, Qin, Feiwei, Fan, Jin, Peng, Yong, Wang, Changmiao
Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes. Early diagnosis is challenging due to subtle symptoms and varied presentations, often leading to misdiagnosis with
Externí odkaz:
http://arxiv.org/abs/2408.16343
Predicting the resilience of complex networks, which represents the ability to retain fundamental functionality amidst external perturbations or internal failures, plays a critical role in understanding and improving real-world complex systems. Tradi
Externí odkaz:
http://arxiv.org/abs/2408.09825
Autor:
Feng, Zuo, Wang, Wenxuan, You, Yilong, Chen, Yifei, Watanabe, Kenji, Taniguchi, Takashi, Liu, Chang, Liu, Kaihui, Lu, Xiaobo
The extrinsic stacking sequence based on intrinsic crystal symmetry in multilayer two-dimensional materials plays a significant role in determining their electronic and optical properties. Compared with Bernal-stacked (ABA) multilayer graphene, rhomb
Externí odkaz:
http://arxiv.org/abs/2408.09814
Existing RGB-T tracking algorithms have made remarkable progress by leveraging the global interaction capability and extensive pre-trained models of the Transformer architecture. Nonetheless, these methods mainly adopt imagepair appearance matching a
Externí odkaz:
http://arxiv.org/abs/2408.07889