Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Jakovetić Dušan"'
We develop a family of distributed clustering algorithms that work over networks of users. In the proposed scenario, users contain a local dataset and communicate only with their immediate neighbours, with the aim of finding a clustering of the full,
Externí odkaz:
http://arxiv.org/abs/2402.01302
In this paper, we present an advanced approach to solving the inverse rig problem in blendshape animation, using high-quality corrective blendshapes. Our algorithm introduces novel enhancements in three key areas: ensuring high data fidelity in recon
Externí odkaz:
http://arxiv.org/abs/2401.16496
Motivated by localization problems such as cadastral maps refinements, we consider a generic Nonlinear Least Squares (NLS) problem of minimizing an aggregate squared fit across all nonlinear equations (measurements) with respect to the set of unknown
Externí odkaz:
http://arxiv.org/abs/2312.09064
Autor:
Armacki, Aleksandar, Sharma, Pranay, Joshi, Gauri, Bajovic, Dragana, Jakovetic, Dusan, Kar, Soummya
We study high-probability convergence guarantees of learning on streaming data in the presence of heavy-tailed noise. In the proposed scenario, the model is updated in an online fashion, as new information is observed, without storing any additional
Externí odkaz:
http://arxiv.org/abs/2310.18784
Motivated by understanding and analysis of large-scale machine learning under heavy-tailed gradient noise, we study distributed optimization with gradient clipping, i.e., in which certain clipping operators are applied to the gradients or gradient es
Externí odkaz:
http://arxiv.org/abs/2310.16920
We consider two formulations for distributed optimization wherein $N$ agents in a generic connected network solve a problem of common interest: distributed personalized optimization and consensus optimization. A new method termed DINAS (Distributed I
Externí odkaz:
http://arxiv.org/abs/2305.13985
The problem of rig inversion is central in facial animation as it allows for a realistic and appealing performance of avatars. With the increasing complexity of modern blendshape models, execution times increase beyond practically feasible solutions.
Externí odkaz:
http://arxiv.org/abs/2303.06370
We propose a new model-based algorithm solving the inverse rig problem in facial animation retargeting, exhibiting higher accuracy of the fit and sparser, more interpretable weight vector compared to SOTA. The proposed method targets a specific subdo
Externí odkaz:
http://arxiv.org/abs/2302.04843
We propose a method to fit arbitrarily accurate blendshape rig models by solving the inverse rig problem in realistic human face animation. The method considers blendshape models with different levels of added corrections and solves the regularized l
Externí odkaz:
http://arxiv.org/abs/2302.04820
We consider distributed recursive estimation of consensus+innovations type in the presence of heavy-tailed sensing and communication noises. We allow that the sensing and communication noises are mutually correlated while independent identically dist
Externí odkaz:
http://arxiv.org/abs/2212.11959