Zobrazeno 1 - 10
of 17 226
pro vyhledávání: '"P. Huy"'
Current video retrieval systems, especially those used in competitions, primarily focus on querying individual keyframes or images rather than encoding an entire clip or video segment. However, queries often describe an action or event over a series
Externí odkaz:
http://arxiv.org/abs/2412.07584
Let $G$ be a gapfree graph and let $I(G)$ be its edge ideal. An open conjecture of Nevo and Peeva states that $I(G)^q$ has a linear resolution for $q\gg 0$. We investigate a stronger conjecture that if $I(G)^q$ has linear quotients for some integer $
Externí odkaz:
http://arxiv.org/abs/2412.06467
We discuss how to understand the asymptotic resurgence number of a pair of graded families of ideals from combinatorial data of their associated convex bodies. When the families consist of monomial ideals, the convex bodies being considered are the N
Externí odkaz:
http://arxiv.org/abs/2412.04417
Autor:
Pham, Huy Tuan
Expectation thresholds arise from a class of integer linear programs (LPs) that are fundamental to the study of thresholds in large random systems. An avenue towards estimating expectation thresholds comes from the fractional relaxation of these inte
Externí odkaz:
http://arxiv.org/abs/2412.03540
This paper introduces TemporalVLM, a video large language model capable of effective temporal reasoning and fine-grained understanding in long videos. At the core, our approach includes a visual encoder for mapping a long-term input video into featur
Externí odkaz:
http://arxiv.org/abs/2412.02930
Autor:
Nguyen, Thi-Nhu-Quynh, Ho, Quang-Huy, Nguyen, Duy-Thai, Le, Hoang-Minh-Quang, Pham, Van-Truong, Tran, Thi-Thao
Early detection of skin abnormalities plays a crucial role in diagnosing and treating skin cancer. Segmentation of affected skin regions using AI-powered devices is relatively common and supports the diagnostic process. However, achieving high perfor
Externí odkaz:
http://arxiv.org/abs/2412.01405
Autor:
Zhang, Jingwei, Nguyen, Anh Tien, Han, Xi, Trinh, Vincent Quoc-Huy, Qin, Hong, Samaras, Dimitris, Hosseini, Mahdi S.
Efficiently modeling large 2D contexts is essential for various fields including Giga-Pixel Whole Slide Imaging (WSI) and remote sensing. Transformer-based models offer high parallelism but face challenges due to their quadratic complexity for handli
Externí odkaz:
http://arxiv.org/abs/2412.00678
Autor:
Chau, Huy N., Rasonyi, Miklos
In this paper, a new approach for solving the problems of pricing and hedging derivatives is introduced in a general frictionless market setting. The method is applicable even in cases where an equivalent local martingale measure fails to exist. Our
Externí odkaz:
http://arxiv.org/abs/2411.19206
This paper introduces a novel collaborative neurodynamic model for computing nonnegative Canonical Polyadic Decomposition (CPD). The model relies on a system of recurrent neural networks to solve the underlying nonconvex optimization problem associat
Externí odkaz:
http://arxiv.org/abs/2411.18127
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