Zobrazeno 1 - 10
of 7 969
pro vyhledávání: '"Huang,Zheng"'
Autor:
Chen, Ruoyu, Liang, Siyuan, Li, Jingzhi, Liu, Shiming, Li, Maosen, Huang, Zheng, Zhang, Hua, Cao, Xiaochun
Advances in multimodal pre-training have propelled object-level foundation models, such as Grounding DINO and Florence-2, in tasks like visual grounding and object detection. However, interpreting these models\' decisions has grown increasingly chall
Externí odkaz:
http://arxiv.org/abs/2411.16198
The relaxed optimal $k$-thresholding pursuit (ROTP) is a recent algorithm for linear inverse problems. This algorithm is based on the optimal $k$-thresholding technique which performs vector thresholding and error metric reduction simultaneously. Alt
Externí odkaz:
http://arxiv.org/abs/2411.08284
Autor:
Ji, Jiazhou, Li, Ruizhe, Li, Shujun, Guo, Jie, Qiu, Weidong, Huang, Zheng, Chen, Chiyu, Jiang, Xiaoyu, Lu, Xinru
As LLMs rapidly advance, increasing concerns arise regarding risks about actual authorship of texts we see online and in real world. The task of distinguishing LLM-authored texts is complicated by the nuanced and overlapping behaviors of both machine
Externí odkaz:
http://arxiv.org/abs/2406.18259
Autor:
Ge, Yongtao, Xu, Guangkai, Zhao, Zhiyue, Sun, Libo, Huang, Zheng, Sun, Yanlong, Chen, Hao, Shen, Chunhua
Recent advances in discriminative and generative pretraining have yielded geometry estimation models with strong generalization capabilities. While discriminative monocular geometry estimation methods rely on large-scale fine-tuning data to achieve z
Externí odkaz:
http://arxiv.org/abs/2406.12671
Although most graph neural networks (GNNs) can operate on graphs of any size, their classification performance often declines on graphs larger than those encountered during training. Existing methods insufficiently address the removal of size informa
Externí odkaz:
http://arxiv.org/abs/2406.04601
Autor:
Chiang, Chia-Hao, Huang, Zheng-Han, Liu, Liwen, Liang, Hsin-Chien, Wang, Yi-Chi, Tseng, Wan-Ling, Wang, Chao, Chen, Che-Ta, Wang, Ko-Chih
Human activities accelerate consumption of fossil fuels and produce greenhouse gases, resulting in urgent issues today: global warming and the climate change. These indirectly cause severe natural disasters, plenty of lives suffering and huge losses
Externí odkaz:
http://arxiv.org/abs/2403.17847
With the rise of Web 2.0 platforms such as online social media, people's private information, such as their location, occupation and even family information, is often inadvertently disclosed through online discussions. Therefore, it is important to d
Externí odkaz:
http://arxiv.org/abs/2311.15917
There has been a conjecture, often attributed to Thurston, which asserts that every almost Fuchsian manifold is foliated by closed incompressible constant mean curvature (CMC) surfaces. In this paper, for a certain class of almost Fuchsian manifolds,
Externí odkaz:
http://arxiv.org/abs/2311.04298
Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation
Publikováno v:
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 4268-4280, Singapore. Association for Computational Linguistics
Mis- and disinformation online have become a major societal problem as major sources of online harms of different kinds. One common form of mis- and disinformation is out-of-context (OOC) information, where different pieces of information are falsely
Externí odkaz:
http://arxiv.org/abs/2311.01766
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 35, Pp 4439-4445 (2024)
Background Simplified left atrial appendage occlusion (LAAO) is one of the important treatment methods for preventing thromboembolism in patients with nonvalvular atrial fibrillation. Currently, there are few studies on the value of cardiac 3-dimensi
Externí odkaz:
https://doaj.org/article/9c6671e537aa45c19986048f0adbc809
