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pro vyhledávání: '"Cao,Yang"'
Neural Radiance Fields (NeRF) are widely used for novel-view synthesis and have been adapted for 3D Object Detection (3DOD), offering a promising approach to 3DOD through view-synthesis representation. However, NeRF faces inherent limitations: (i) li
Externí odkaz:
http://arxiv.org/abs/2410.01647
Autor:
Pan, Chenhao, Song, Xinbing, Cao, Yang, Xiong, Li, Lan, Xiaofei, Wang, Shaoyi, Leng, Yuxin, Pan, Yiming
A plasma mirror is an optical device for high-power, ultrashort-wavelength electromagnetic fields, utilizing a sheet of relativistic oscillating electrons to generate and manipulate light. In this work, we propose that the spatiotemporally varying pl
Externí odkaz:
http://arxiv.org/abs/2410.01287
Recent advancements in industrial anomaly detection have been hindered by the lack of realistic datasets that accurately represent real-world conditions. Existing algorithms are often developed and evaluated using idealized datasets, which deviate si
Externí odkaz:
http://arxiv.org/abs/2410.00713
Zero-shot anomaly detection (ZSAD) recognizes and localizes anomalies in previously unseen objects by establishing feature mapping between textual prompts and inspection images, demonstrating excellent research value in flexible industrial manufactur
Externí odkaz:
http://arxiv.org/abs/2409.20146
Grounding 3D scene affordance aims to locate interactive regions in 3D environments, which is crucial for embodied agents to interact intelligently with their surroundings. Most existing approaches achieve this by mapping semantics to 3D instances ba
Externí odkaz:
http://arxiv.org/abs/2409.19650
Biological oscillations are periodic changes in various signaling processes crucial for the proper functioning of living organisms. These oscillations are modeled by ordinary differential equations, with coefficient variations leading to diverse peri
Externí odkaz:
http://arxiv.org/abs/2409.12816
Diffusion models have led to the revolutionizing of generative modeling in numerous image synthesis tasks. Nevertheless, it is not trivial to directly apply diffusion models for synthesizing an image of a target person wearing a given in-shop garment
Externí odkaz:
http://arxiv.org/abs/2409.08258
Currently, vision encoder models like Vision Transformers (ViTs) typically excel at image recognition tasks but cannot simultaneously support text recognition like human visual recognition. To address this limitation, we propose UNIT, a novel trainin
Externí odkaz:
http://arxiv.org/abs/2409.04095
Autor:
Cao, Yang
The rapid advancement in large language models (LLMs) comes with a significant increase in their parameter size, presenting challenges for adaptation and fine-tuning. Parameter-efficient fine-tuning (PEFT) methods are widely used to adapt LLMs for do
Externí odkaz:
http://arxiv.org/abs/2409.00055
Autor:
Ge, Haiyuan, Li, Haisu, Jie, Lu, Wang, Jianshuai, Cao, Yang, Atakaramians, Shaghik, Gong, Yandong, Ren, Guobin, Pei, Li
Terahertz (THz) fiber that provides high-speed connections is an essential component in THz communication systems. The emerging space-division-multiplexing technology is expected to increase the transmission capacity of THz communications. A promisin
Externí odkaz:
http://arxiv.org/abs/2408.09664