Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Phan, Thinh P."'
Autor:
Pham, Trong Thang, Ho, Ngoc-Vuong, Bui, Nhat-Tan, Phan, Thinh, Brijesh, Patel, Adjeroh, Donald, Doretto, Gianfranco, Nguyen, Anh, Wu, Carol C., Nguyen, Hien, Le, Ngan
Developing an interpretable system for generating reports in chest X-ray (CXR) analysis is becoming increasingly crucial in Computer-aided Diagnosis (CAD) systems, enabling radiologists to comprehend the decisions made by these systems. Despite the g
Externí odkaz:
http://arxiv.org/abs/2411.15413
Object tracking, especially animal tracking, is one of the key topics that attract a lot of attention due to its benefits of animal behavior understanding and monitoring. Recent state-of-the-art tracking methods are founded on deep learning architect
Externí odkaz:
http://arxiv.org/abs/2410.15518
Autor:
Rodriguez, Marta Veganzones, Phan, Thinh, Fernandes, Arthur F. A., Breen, Vivian, Arango, Jesus, Kidd, Michael T., Le, Ngan
Chick sexing, the process of determining the gender of day-old chicks, is a critical task in the poultry industry due to the distinct roles that each gender plays in production. While effective traditional methods achieve high accuracy, color, and wi
Externí odkaz:
http://arxiv.org/abs/2410.09155
Current video-language models (VLMs) rely extensively on instance-level alignment between video and language modalities, which presents two major limitations: (1) visual reasoning disobeys the natural perception that humans do in first-person perspec
Externí odkaz:
http://arxiv.org/abs/2406.00307
Autor:
Bui, Nhat-Tan, Hoang, Dinh-Hieu, Phan, Thinh, Tran, Minh-Triet, Patel, Brijesh, Adjeroh, Donald, Le, Ngan
The electrocardiogram (ECG) is a valuable signal used to assess various aspects of heart health, such as heart rate and rhythm. It plays a crucial role in identifying cardiac conditions and detecting anomalies in ECG data. However, distinguishing bet
Externí odkaz:
http://arxiv.org/abs/2312.10187
ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
Temporal action detection (TAD) involves the localization and classification of action instances within untrimmed videos. While standard TAD follows fully supervised learning with closed-set setting on large training data, recent zero-shot TAD method
Externí odkaz:
http://arxiv.org/abs/2311.00729
Autor:
Tran, Kim Hoang, Dinh, Anh Duy Le, Nguyen, Tien Phat, Phan, Thinh, Nguyen, Pha, Luu, Khoa, Adjeroh, Donald, Doretto, Gianfranco, Le, Ngan Hoang
Despite recent significant progress, Multi-Object Tracking (MOT) faces limitations such as reliance on prior knowledge and predefined categories and struggles with unseen objects. To address these issues, Generic Multiple Object Tracking (GMOT) has e
Externí odkaz:
http://arxiv.org/abs/2305.17648
Autor:
Phan, Thinh, Le, Duc, Brijesh, Patel, Adjeroh, Donald, Wu, Jingxian, Jensen, Morten Olgaard, Le, Ngan
Electrocardiogram (ECG) signal is one of the most effective sources of information mainly employed for the diagnosis and prediction of cardiovascular diseases (CVDs) connected with the abnormalities in heart rhythm. Clearly, single modality ECG (i.e.
Externí odkaz:
http://arxiv.org/abs/2210.06297
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Akademický článek
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