Zobrazeno 1 - 10
of 4 105
pro vyhledávání: '"Tang, Zheng"'
Publikováno v:
Physical Review Letters 133, 106101 (2024)
Topological surface states are unique to topological materials and are immune to disturbances. In isostatic lattices, mechanical topological floppy modes exhibit softness depending on the polarization relative to the terminating surface. However, in
Externí odkaz:
http://arxiv.org/abs/2409.02607
Autor:
Yan, Liqi, Wang, Qifan, Zhao, Junhan, Guan, Qiang, Tang, Zheng, Zhang, Jianhui, Liu, Dongfang
Publikováno v:
European Conference on Computer Vision (ECCV 2024)
First-Person-View (FPV) holds immense potential for revolutionizing the trajectory of Unmanned Aerial Vehicles (UAVs), offering an exhilarating avenue for navigating complex building structures. Yet, traditional Neural Radiance Field (NeRF) methods f
Externí odkaz:
http://arxiv.org/abs/2408.05533
Large language models (LLM) have achieved remarkable success in natural language generation but lesser focus has been given to their applicability in decision making tasks such as classification. We show that LLMs like LLaMa can achieve high performa
Externí odkaz:
http://arxiv.org/abs/2406.17163
Confinement/deconfinement, captivating attributes of high-energy elementary particles, have recently garnered wide attention in quantum simulations based on cold atoms. Yet, the partial confinement, an intermediate state between the confinement and d
Externí odkaz:
http://arxiv.org/abs/2404.18095
Autor:
Wang, Shuo, Anastasiu, David C., Tang, Zheng, Chang, Ming-Ching, Yao, Yue, Zheng, Liang, Rahman, Mohammed Shaiqur, Arya, Meenakshi S., Sharma, Anuj, Chakraborty, Pranamesh, Prajapati, Sanjita, Kong, Quan, Kobori, Norimasa, Gochoo, Munkhjargal, Otgonbold, Munkh-Erdene, Alnajjar, Fady, Batnasan, Ganzorig, Chen, Ping-Yang, Hsieh, Jun-Wei, Wu, Xunlei, Pusegaonkar, Sameer Satish, Wang, Yizhou, Biswas, Sujit, Chellappa, Rama
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (ITS), presenting significant research opportunities. The 2024 edition f
Externí odkaz:
http://arxiv.org/abs/2404.09432
Autor:
Shang, Zheng-Jun, Yu, Yong, Wang, Liang-Liang, Yang, Mei-Ting, Yang, Jing, Shen, Shi-Yin, Liu, Min, Xu, Quan-Feng, Cui, Chen-Zhou, Fan, Dong-Wei, Tang, Zheng-Hong, Zhao, Jian-Hai
From the mid-19th century to the end of the 20th century, photographic plates served as the primary detectors for astronomical observations. Astronomical photographic observations in China began in 1901, and over a century, a total of approximately 3
Externí odkaz:
http://arxiv.org/abs/2403.09094
Autor:
Tang, Zheng
The complex geology of the Arabian plate together with the sparse nature of previous datasets have prevented a detailed characterization of the lithospheric structure and its spatial relationship to surface geology. With newly acquired large amount o
Externí odkaz:
http://hdl.handle.net/10754/629730
Automating the checkout process is important in smart retail, where users effortlessly pass products by hand through a camera, triggering automatic product detection, tracking, and counting. In this emerging area, due to the lack of annotated trainin
Externí odkaz:
http://arxiv.org/abs/2308.09708
Autor:
Yan, Jun, Yadav, Vikas, Li, Shiyang, Chen, Lichang, Tang, Zheng, Wang, Hai, Srinivasan, Vijay, Ren, Xiang, Jin, Hongxia
Instruction-tuned Large Language Models (LLMs) have become a ubiquitous platform for open-ended applications due to their ability to modulate responses based on human instructions. The widespread use of LLMs holds significant potential for shaping pu
Externí odkaz:
http://arxiv.org/abs/2307.16888
While instruction-tuned models have shown remarkable success in various natural language processing tasks, accurately evaluating their ability to follow instructions remains challenging. Existing benchmarks primarily focus on common instructions that
Externí odkaz:
http://arxiv.org/abs/2307.10558