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pro vyhledávání: '"Yu,Qiao"'
Enabling Large Language Models (LLMs) to comprehend the 3D physical world remains a significant challenge. Due to the lack of large-scale 3D-text pair datasets, the success of LLMs has yet to be replicated in 3D understanding. In this paper, we rethi
Externí odkaz:
http://arxiv.org/abs/2408.15966
Reconstructing textured meshes from colored point clouds is an important but challenging task in 3D graphics and vision. Most existing methods predict colors as implicit functions in 3D or UV space, suffering from blurry textures or the lack of gener
Externí odkaz:
http://arxiv.org/abs/2406.15811
Autor:
Yu, Qiao, Zhang, Wengui, Zhou, Min, Yu, Jialiang, Sheng, Zhenli, Bogatinovski, Jasmin, Cardoso, Jorge, Kao, Odej
Large-scale datacenters often experience memory failures, where Uncorrectable Errors (UEs) highlight critical malfunction in Dual Inline Memory Modules (DIMMs). Existing approaches primarily utilize Correctable Errors (CEs) to predict UEs, yet they t
Externí odkaz:
http://arxiv.org/abs/2406.05354
Large 2D vision-language models (2D-LLMs) have gained significant attention by bridging Large Language Models (LLMs) with images using a simple projector. Inspired by their success, large 3D point cloud-language models (3D-LLMs) also integrate point
Externí odkaz:
http://arxiv.org/abs/2405.01413
Publikováno v:
2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), San Francisco, CA, USA, 2023, pp. 01-09
In large-scale datacenters, memory failure is a common cause of server crashes, with Uncorrectable Errors (UEs) being a major indicator of Dual Inline Memory Module (DIMM) defects. Existing approaches primarily focus on predicting UEs using Correctab
Externí odkaz:
http://arxiv.org/abs/2312.02855
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The Xiyu conglomerate, which is extensively distributed in Xinjiang, China, presents challenges for vertical shaft construction owing to its poor cementation and low strength. The selection of an appropriate footage length is paramount for e
Externí odkaz:
https://doaj.org/article/b0a157985a1641b5890246e8710ad270
Autor:
Songkai Huang, Junwei Zhang, Yu Qiao, Janak Lal Pathak, Rui Zou, ZhengGuo Piao, ShiMin Xie, Jun Liang, Kexiong Ouyang
Publikováno v:
Molecular Medicine, Vol 30, Iss 1, Pp 1-14 (2024)
Abstract Background CHRDL1 belongs to a novel class of mRNA molecules. Nonetheless, the specific biological functions and underlying mechanisms of CHRDL1 in oral squamous cell carcinoma (OSCC) remain largely unexplored. Methods RT-qPCR and immunohist
Externí odkaz:
https://doaj.org/article/308bd14e08a74584b1d48c192b94c4f2
Autor:
Hiroyuki Satofuka, Yayan Wang, Hiroshi Tanaka, Kei Hiramatsu, Kayoko Morimoto, Haruka Takayama, Haochen Tu, Yu Qiao, Satoru Ito, Xu Gao, Mitsuo Oshimura, Yasuhiro Kazuki
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The antigen-mediated B cell isolation method, based on the detection of surface IgG (sIgG), has increased the efficiency of therapeutic antibody (Ab) discovery. However, the reduction in sIgG expression on B cells during plasma cell differen
Externí odkaz:
https://doaj.org/article/d15efea2b58f43679653c63cc70b1a86
Publikováno v:
Asian Journal of Surgery, Vol 47, Iss 10, Pp 4651-4653 (2024)
Externí odkaz:
https://doaj.org/article/9fe9e99344814960ae99be91292cb2a2
Masked Autoencoders (MAE) have been popular paradigms for large-scale vision representation pre-training. However, MAE solely reconstructs the low-level RGB signals after the decoder and lacks supervision upon high-level semantics for the encoder, th
Externí odkaz:
http://arxiv.org/abs/2303.05475