Zobrazeno 1 - 10
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pro vyhledávání: '"Liu, Junjie"'
Self-supervised monocular depth estimation aims to infer depth information without relying on labeled data. However, the lack of labeled information poses a significant challenge to the model's representation, limiting its ability to capture the intr
Externí odkaz:
http://arxiv.org/abs/2406.08928
The realization of effective quantum error correction protocols remains a central challenge in the development of scalable quantum computers. Protocols employing redundancy over multiple physical qubits to encode a single error-protected logical qubi
Externí odkaz:
http://arxiv.org/abs/2405.20827
Autor:
Liu, Junjie, Jung, Kenneth A.
Publikováno v:
Phys. Rev. E 109, 044118 (2024)
Whether the strong coupling to thermal baths can improve the performance of quantum thermal machines remains an open issue under active debate. Here, we revisit quantum thermal machines operating with the quasi-static Carnot cycle and aim to unveil t
Externí odkaz:
http://arxiv.org/abs/2311.15465
Exploiting large language models (LLMs) to tackle reasoning has garnered growing attention. It still remains highly challenging to achieve satisfactory results in complex logical problems, characterized by plenty of premises within the prompt and req
Externí odkaz:
http://arxiv.org/abs/2310.03309
Through the Bayesian lens of data assimilation, uncertainty on model parameters is traditionally quantified through the posterior covariance matrix. However, in modern settings involving high-dimensional and computationally expensive forward models,
Externí odkaz:
http://arxiv.org/abs/2310.01397
Efficient RGB-D semantic segmentation has received considerable attention in mobile robots, which plays a vital role in analyzing and recognizing environmental information. According to previous studies, depth information can provide corresponding ge
Externí odkaz:
http://arxiv.org/abs/2308.06024
Autor:
Liu, Junjie, Nie, Hanlin
The first law of thermodynamics, which governs energy conservation, is traditionally formulated as an equality. Surprisingly, we demonstrate that the first law alone implies a universal Landauer-like inequality linking changes in system entropy and e
Externí odkaz:
http://arxiv.org/abs/2306.11230
Autor:
Ma, Tao, Yang, Xuemeng, Zhou, Hongbin, Li, Xin, Shi, Botian, Liu, Junjie, Yang, Yuchen, Liu, Zhizheng, He, Liang, Qiao, Yu, Li, Yikang, Li, Hongsheng
Existing offboard 3D detectors always follow a modular pipeline design to take advantage of unlimited sequential point clouds. We have found that the full potential of offboard 3D detectors is not explored mainly due to two reasons: (1) the onboard m
Externí odkaz:
http://arxiv.org/abs/2306.06023
Multi-view Clustering (MVC) has achieved significant progress, with many efforts dedicated to learn knowledge from multiple views. However, most existing methods are either not applicable or require additional steps for incomplete MVC. Such a limitat
Externí odkaz:
http://arxiv.org/abs/2305.07307
Autor:
Ding, Yifu, Qin, Haotong, Yan, Qinghua, Chai, Zhenhua, Liu, Junjie, Wei, Xiaolin, Liu, Xianglong
Vision transformer emerges as a potential architecture for vision tasks. However, the intense computation and non-negligible delay hinder its application in the real world. As a widespread model compression technique, existing post-training quantizat
Externí odkaz:
http://arxiv.org/abs/2303.14341