Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Chen, Yunlu"'
Existing methods in neural scene reconstruction utilize the Signed Distance Function (SDF) to model the density function. However, in indoor scenes, the density computed from the SDF for a sampled point may not consistently reflect its real importanc
Externí odkaz:
http://arxiv.org/abs/2408.15524
Autor:
Kofinas, Miltiadis, Knyazev, Boris, Zhang, Yan, Chen, Yunlu, Burghouts, Gertjan J., Gavves, Efstratios, Snoek, Cees G. M., Zhang, David W.
Neural networks that process the parameters of other neural networks find applications in domains as diverse as classifying implicit neural representations, generating neural network weights, and predicting generalization errors. However, existing ap
Externí odkaz:
http://arxiv.org/abs/2403.12143
Few-shot point cloud segmentation seeks to generate per-point masks for previously unseen categories, using only a minimal set of annotated point clouds as reference. Existing prototype-based methods rely on support prototypes to guide the segmentati
Externí odkaz:
http://arxiv.org/abs/2401.16051
Autor:
Hu, Vincent Tao, Yin, Wenzhe, Ma, Pingchuan, Chen, Yunlu, Fernando, Basura, Asano, Yuki M, Gavves, Efstratios, Mettes, Pascal, Ommer, Bjorn, Snoek, Cees G. M.
Human motion synthesis is a fundamental task in computer animation. Recent methods based on diffusion models or GPT structure demonstrate commendable performance but exhibit drawbacks in terms of slow sampling speeds and error accumulation. In this p
Externí odkaz:
http://arxiv.org/abs/2312.08895
Autor:
Hu, Vincent Tao, Chen, Yunlu, Caron, Mathilde, Asano, Yuki M., Snoek, Cees G. M., Ommer, Bjorn
Guidance serves as a key concept in diffusion models, yet its effectiveness is often limited by the need for extra data annotation or classifier pretraining. That is why guidance was harnessed from self-supervised learning backbones, like DINO. Howev
Externí odkaz:
http://arxiv.org/abs/2312.08825
We consider kernels of the form $(x,x') \mapsto \phi(\|x-x'\|^2_\Sigma)$ parametrized by $\Sigma$. For such kernels, we study a variant of the kernel ridge regression problem which simultaneously optimizes the prediction function and the parameter $\
Externí odkaz:
http://arxiv.org/abs/2310.11736
Autor:
Chen, Yunlu, Zhang, Nan
Density regression characterizes the conditional density of the response variable given the covariates, and provides much more information than the commonly used conditional mean or quantile regression. However, it is often computationally prohibitiv
Externí odkaz:
http://arxiv.org/abs/2206.06833
Autor:
Chen, Yunlu, Zhang, Nan
Subsampling is a popular approach to alleviating the computational burden for analyzing massive datasets. Recent efforts have been devoted to various statistical models without explicit regularization. In this paper, we develop an efficient subsampli
Externí odkaz:
http://arxiv.org/abs/2204.04776
In recent years, neural implicit representations have made remarkable progress in modeling of 3D shapes with arbitrary topology. In this work, we address two key limitations of such representations, in failing to capture local 3D geometric fine detai
Externí odkaz:
http://arxiv.org/abs/2203.17178
Autor:
Yang, Fan, Chen, Yunlu, Zhang, Wentao, Gu, Shaochun, Liu, Zhenjie, Chen, Maohu, Chen, Leidan, Chen, Feng, Zhang, Huicong, Ding, Yude, Liu, Yanshan, Chen, Jinyi, Wang, Linhong
Publikováno v:
In International Journal of Biological Macromolecules June 2024 271 Part 1