Zobrazeno 1 - 10
of 9 006
pro vyhledávání: '"Nguyen, Quang"'
Autor:
Nguyen-Quang, Thuc, Tran, Minh-Triet
Multi-object tracking (MOT) in computer vision remains a significant challenge, requiring precise localization and continuous tracking of multiple objects in video sequences. This task is crucial for various applications, including action recognition
Externí odkaz:
http://arxiv.org/abs/2407.04327
Player attribution in American football remains an open problem due to the complex nature of twenty-two players interacting on the field, but the granularity of player tracking data provides ample opportunity for novel approaches. In this work, we in
Externí odkaz:
http://arxiv.org/abs/2406.17220
Autor:
Hasan, Abul, Wu, Jinge, Nguyen, Quang Ngoc, Andres, Salomé, Guellil, Imane, Zhang, Huayu, Casey, Arlene, Alex, Beatrice, Guthrie, Bruce, Wu, Honghan
This study introduces a novel knowledge enhanced tokenisation mechanism, K-Tokeniser, for clinical text processing. Technically, at initialisation stage, K-Tokeniser populates global representations of tokens based on semantic types of domain concept
Externí odkaz:
http://arxiv.org/abs/2406.14312
Colonoscopy is a common and practical method for detecting and treating polyps. Segmenting polyps from colonoscopy image is useful for diagnosis and surgery progress. Nevertheless, achieving excellent segmentation performance is still difficult becau
Externí odkaz:
http://arxiv.org/abs/2405.07523
The emergence of deep learning techniques has advanced the image segmentation task, especially for medical images. Many neural network models have been introduced in the last decade bringing the automated segmentation accuracy close to manual segment
Externí odkaz:
http://arxiv.org/abs/2405.15779
Autor:
Dinh, Phai Vu, Nguyen, Diep N., Hoang, Dinh Thai, Nguyen, Quang Uy, Dutkiewicz, Eryk, Bao, Son Pham
While intrusion detection systems (IDSs) benefit from the diversity and generalization of IoT data features, the data diversity (e.g., the heterogeneity and high dimensions of data) also makes it difficult to train effective machine learning models i
Externí odkaz:
http://arxiv.org/abs/2403.15511
Autor:
Dinh, Phai Vu, Nguyen, Quang Uy, Dinh, Thai Hoang, Nguyen, Diep N., Pham, Bao Son, Dutkiewicz, Eryk
Representation Learning (RL) plays a pivotal role in the success of many problems including cyberattack detection. Most of the RL methods for cyberattack detection are based on the latent vector of Auto-Encoder (AE) models. An AE transforms raw data
Externí odkaz:
http://arxiv.org/abs/2403.15509
Tackling is a fundamental defensive move in American football, with the main purpose of stopping the forward motion of the ball-carrier. However, current tackling metrics are manually recorded outcomes that are inherently flawed due to their discrete
Externí odkaz:
http://arxiv.org/abs/2403.14769
Autor:
Hoang, Trong-Vu, Nguyen, Quang-Binh, Ly, Duy-Nam, Le, Khanh-Duy, Nguyen, Tam V., Tran, Minh-Triet, Le, Trung-Nghia
Drawing is an art that enables people to express their imagination and emotions. However, individuals usually face challenges in drawing, especially when translating conceptual ideas into visually coherent representations and bridging the gap between
Externí odkaz:
http://arxiv.org/abs/2403.08876
Autor:
Duc, Nguyen Quang, Son, Le Hai, Nhan, Nguyen Duc, Minh, Nguyen Dich Nhat, Huong, Le Thanh, Sang, Dinh Viet
This paper presents our contributions towards advancing the state of Vietnamese language understanding and generation through the development and dissemination of open datasets and pre-trained models for Vietnamese Retrieval-Augmented Generation (RAG
Externí odkaz:
http://arxiv.org/abs/2403.01616