Zobrazeno 1 - 10
of 3 601
pro vyhledávání: '"A. Meka"'
Autor:
Bühler, Marcel C., Li, Gengyan, Wood, Erroll, Helminger, Leonhard, Chen, Xu, Shah, Tanmay, Wang, Daoye, Garbin, Stephan, Orts-Escolano, Sergio, Hilliges, Otmar, Lagun, Dmitry, Riviere, Jérémy, Gotardo, Paulo, Beeler, Thabo, Meka, Abhimitra, Sarkar, Kripasindhu
Volumetric modeling and neural radiance field representations have revolutionized 3D face capture and photorealistic novel view synthesis. However, these methods often require hundreds of multi-view input images and are thus inapplicable to cases wit
Externí odkaz:
http://arxiv.org/abs/2410.00630
Autor:
Ramachandran, R, Sil, Milan, Gorai, Prasanta, Meka, J K, Pavithraa, S, Lo, J -I, Chou, S -L, Wu, Y -J, Janardhan, P, Cheng, B -M, Bhardwaj, Anil, Rivilla, Vıctor M., Mason, N J, Sivaraman, B, Das, Ankan
Ethanolamine (NH2CH2CH2OH) has recently been identified in the molecular cloud G+0.693-0.027, situated in the SgrB2 complex in the Galactic center. However, its presence in other regions, and in particular in star-forming sites, is still elusive. Giv
Externí odkaz:
http://arxiv.org/abs/2409.01307
Autor:
Rao, Pramod, Fox, Gereon, Meka, Abhimitra, R, Mallikarjun B, Zhan, Fangneng, Weyrich, Tim, Bickel, Bernd, Pfister, Hanspeter, Matusik, Wojciech, Elgharib, Mohamed, Theobalt, Christian
Achieving photorealistic 3D view synthesis and relighting of human portraits is pivotal for advancing AR/VR applications. Existing methodologies in portrait relighting demonstrate substantial limitations in terms of generalization and 3D consistency,
Externí odkaz:
http://arxiv.org/abs/2407.10487
Autor:
Chandrasekaran, Gautam, Klivans, Adam, Kontonis, Vasilis, Meka, Raghu, Stavropoulos, Konstantinos
In traditional models of supervised learning, the goal of a learner -- given examples from an arbitrary joint distribution on $\mathbb{R}^d \times \{\pm 1\}$ -- is to output a hypothesis that is competitive (to within $\epsilon$) of the best fitting
Externí odkaz:
http://arxiv.org/abs/2407.00966
We study the differentially private (DP) empirical risk minimization (ERM) problem under the semi-sensitive DP setting where only some features are sensitive. This generalizes the Label DP setting where only the label is sensitive. We give improved u
Externí odkaz:
http://arxiv.org/abs/2406.19040
A core component present in many successful neural network architectures, is an MLP block of two fully connected layers with a non-linear activation in between. An intriguing phenomenon observed empirically, including in transformer architectures, is
Externí odkaz:
http://arxiv.org/abs/2406.17989
Autor:
Medin, Safa C., Li, Gengyan, Du, Ruofei, Garbin, Stephan, Davidson, Philip, Wornell, Gregory W., Beeler, Thabo, Meka, Abhimitra
3D rendering of dynamic face captures is a challenging problem, and it demands improvements on several fronts$\unicode{x2014}$photorealism, efficiency, compatibility, and configurability. We present a novel representation that enables high-quality vo
Externí odkaz:
http://arxiv.org/abs/2404.13807
It is well-known that the statistical performance of Lasso can suffer significantly when the covariates of interest have strong correlations. In particular, the prediction error of Lasso becomes much worse than computationally inefficient alternative
Externí odkaz:
http://arxiv.org/abs/2402.15409
Autor:
Yu, Zhixuan, Bai, Ziqian, Meka, Abhimitra, Tan, Feitong, Xu, Qiangeng, Pandey, Rohit, Fanello, Sean, Park, Hyun Soo, Zhang, Yinda
Traditional methods for constructing high-quality, personalized head avatars from monocular videos demand extensive face captures and training time, posing a significant challenge for scalability. This paper introduces a novel approach to create high
Externí odkaz:
http://arxiv.org/abs/2402.11909
We revisit the fundamental Boolean Matrix Multiplication (BMM) problem. With the invention of algebraic fast matrix multiplication over 50 years ago, it also became known that BMM can be solved in truly subcubic $O(n^\omega)$ time, where $\omega<3$;
Externí odkaz:
http://arxiv.org/abs/2311.09095