Zobrazeno 1 - 10
of 652
pro vyhledávání: '"Bùi, Minh"'
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
The scattering problem can be implemented in a square-integrable basis via the so-called $J$-matrix method. While methods to compute the phase shift in the $J$-matrix approach are known, we introduce a novel formula in square-integrable bases analogo
Externí odkaz:
http://arxiv.org/abs/2412.08825
Autor:
Nguyen, Le-Anh, Bui, Minh-Loc
Background: Beta-delayed proton emission from neutron halo nuclei $^{11}$Be represents a rare decay process. The existence of the narrow resonance near the proton-emission threshold in $^{11}$B explains its unexpectedly high probability. However, the
Externí odkaz:
http://arxiv.org/abs/2411.10700
Warning: this paper contains content that may be offensive or upsetting Hate speech moderation on global platforms poses unique challenges due to the multimodal and multilingual nature of content, along with the varying cultural perceptions. How well
Externí odkaz:
http://arxiv.org/abs/2411.03888
Autor:
Bui, Minh, Alexis, Kostas
Vision-based perception and reasoning is essential for scene understanding in any autonomous system. RGB and depth images are commonly used to capture both the semantic and geometric features of the environment. Developing methods to reliably interpr
Externí odkaz:
http://arxiv.org/abs/2409.15117
Haar Cascade is a cost-effective and user-friendly machine learning-based algorithm for detecting objects in images and videos. Unlike Deep Learning algorithms, which typically require significant resources and expensive computing costs, it uses simp
Externí odkaz:
http://arxiv.org/abs/2405.12633
Current natural language processing (NLP) research tends to focus on only one or, less frequently, two dimensions - e.g., performance, privacy, fairness, or efficiency - at a time, which may lead to suboptimal conclusions and often overlooking the br
Externí odkaz:
http://arxiv.org/abs/2405.02010
Compared to standard language model (LM) pretraining (i.e., from scratch), Knowledge Distillation (KD) entails an additional forward pass through a teacher model that is typically substantially larger than the target student model. As such, KD in LM
Externí odkaz:
http://arxiv.org/abs/2404.19319
We investigate the stability and softness of nuclei against quadrupole, octupole, and hexadecapole deformation. By applying the spherical Skyrme-force Hartree-Fock Bardeen-Cooper-Schrieffer quasi-particle random phase approximation, we diagnose groun
Externí odkaz:
http://arxiv.org/abs/2401.06117
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