Zobrazeno 1 - 10
of 927 368
pro vyhledávání: '"A, Nguyen"'
We study how the properties of being reduced, integral domain, and normal, behave under small perturbations of the defining equations of a noetherian local ring. It is not hard to show that the property of being a local integral domain (reduced, norm
Externí odkaz:
http://arxiv.org/abs/2411.19011
ModeDreamer: Mode Guiding Score Distillation for Text-to-3D Generation using Reference Image Prompts
Existing Score Distillation Sampling (SDS)-based methods have driven significant progress in text-to-3D generation. However, 3D models produced by SDS-based methods tend to exhibit over-smoothing and low-quality outputs. These issues arise from the m
Externí odkaz:
http://arxiv.org/abs/2411.18135
Autor:
Vu, Duc Anh, Duy, Nguyen Tran Cong, Wu, Xiaobao, Nhat, Hoang Minh, Mingzhe, Du, Thong, Nguyen Thanh, Luu, Anh Tuan
Large Language Models (LLMs) have shown strong in-context learning (ICL) abilities with a few demonstrations. However, one critical challenge is how to select demonstrations to elicit the full potential of LLMs. In this paper, we propose Curriculum D
Externí odkaz:
http://arxiv.org/abs/2411.18126
Segmentation has long been essential in computer vision due to its numerous real-world applications. However, most traditional deep learning and machine learning models need help to capture geometric features such as size and convexity of the segment
Externí odkaz:
http://arxiv.org/abs/2411.18893
We propose SharpDepth, a novel approach to monocular metric depth estimation that combines the metric accuracy of discriminative depth estimation methods (e.g., Metric3D, UniDepth) with the fine-grained boundary sharpness typically achieved by genera
Externí odkaz:
http://arxiv.org/abs/2411.18229
Multimodal LLMs have advanced vision-language tasks but still struggle with understanding video scenes. To bridge this gap, Video Scene Graph Generation (VidSGG) has emerged to capture multi-object relationships across video frames. However, prior me
Externí odkaz:
http://arxiv.org/abs/2411.18042
In recent years, deepfakes (DFs) have been utilized for malicious purposes, such as individual impersonation, misinformation spreading, and artists' style imitation, raising questions about ethical and security concerns. However, existing surveys hav
Externí odkaz:
http://arxiv.org/abs/2411.17911
In this paper, we aimed to develop a neural parser for Vietnamese based on simplified Head-Driven Phrase Structure Grammar (HPSG). The existing corpora, VietTreebank and VnDT, had around 15% of constituency and dependency tree pairs that did not adhe
Externí odkaz:
http://arxiv.org/abs/2411.17270
Existing 3D instance segmentation methods frequently encounter issues with over-segmentation, leading to redundant and inaccurate 3D proposals that complicate downstream tasks. This challenge arises from their unsupervised merging approach, where den
Externí odkaz:
http://arxiv.org/abs/2411.16183
Autor:
Nguyen, Nhan Thanh, Nguyen, Ly V., Shlezinger, Nir, Eldar, Yonina C., Swindlehurst, A. Lee, Juntti, Markku
In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expressions for the gradients of the communications sum rate and sensing be
Externí odkaz:
http://arxiv.org/abs/2411.17747