Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bùi Minh Quân"'
Autor:
Park, Jongmin, Bui, Minh-Quan Viet, Bello, Juan Luis Gonzalez, Moon, Jaeho, Oh, Jihyong, Kim, Munchurl
Synthesizing novel views from in-the-wild monocular videos is challenging due to scene dynamics and the lack of multi-view cues. To address this, we propose SplineGS, a COLMAP-free dynamic 3D Gaussian Splatting (3DGS) framework for high-quality recon
Externí odkaz:
http://arxiv.org/abs/2412.09982
Neural Radiance Fields (NeRF), initially developed for static scenes, have inspired many video novel view synthesis techniques. However, the challenge for video view synthesis arises from motion blur, a consequence of object or camera movement during
Externí odkaz:
http://arxiv.org/abs/2312.13528
Recent advances in neural rendering have shown that, albeit slow, implicit compact models can learn a scene's geometries and view-dependent appearances from multiple views. To maintain such a small memory footprint but achieve faster inference times,
Externí odkaz:
http://arxiv.org/abs/2312.08136
Autor:
Nguyen, Ha-Thanh, Nguyen, Minh-Phuong, Vuong, Thi-Hai-Yen, Bui, Minh-Quan, Nguyen, Minh-Chau, Dang, Tran-Binh, Tran, Vu, Nguyen, Le-Minh, Satoh, Ken
In this paper, we introduce our approaches using Transformer-based models for different problems of the COLIEE 2021 automatic legal text processing competition. Automated processing of legal documents is a challenging task because of the characterist
Externí odkaz:
http://arxiv.org/abs/2202.06397
Publikováno v:
Tạp chí Khoa học Đại học Cần Thơ, Iss CĐ Công nghệ TT (2013)
Vấn đề mất cân bằng dữ liệu xảy ra khi trong tập dữ liệu có lớp chứa số mẫu nhiều hơn các lớp khác. Phân loại chính xác cho mẫu thuộc lớp nhỏ trong tập mất cân bằng là khó khăn. Khi tỷ l
Externí odkaz:
https://doaj.org/article/0f806e023afa40e78ceaf9aceec96aae
Autor:
Nguyen, Ha-Thanh, Tran, Vu, Dang, Tran-Binh, Bui, Minh-Quan, Nguyen, Minh-Phuong, Nguyen, Le-Minh
Attention is all we need as long as we have enough data. Even so, it is sometimes not easy to determine how much data is enough while the models are becoming larger and larger. In this paper, we propose HYDRA heads, lightweight pretrained linguistic
Externí odkaz:
http://arxiv.org/abs/2109.05349
Autor:
Thanh, Phan Thi Huyen, Bui, Minh Quan Viet, Nguyen, Duc Dung, Pham, Tran Vu, Duy, Truong Vinh Truong, Naotake, Natori
Publikováno v:
In Image and Vision Computing January 2024 141
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.