Zobrazeno 1 - 10
of 12 289
pro vyhledávání: '"P A Barron"'
Autor:
Alzayer, Hadi, Henzler, Philipp, Barron, Jonathan T., Huang, Jia-Bin, Srinivasan, Pratul P., Verbin, Dor
Reconstructing the geometry and appearance of objects from photographs taken in different environments is difficult as the illumination and therefore the object appearance vary across captured images. This is particularly challenging for more specula
Externí odkaz:
http://arxiv.org/abs/2412.15211
Autor:
Trevithick, Alex, Paiss, Roni, Henzler, Philipp, Verbin, Dor, Wu, Rundi, Alzayer, Hadi, Gao, Ruiqi, Poole, Ben, Barron, Jonathan T., Holynski, Aleksander, Ramamoorthi, Ravi, Srinivasan, Pratul P.
Novel-view synthesis techniques achieve impressive results for static scenes but struggle when faced with the inconsistencies inherent to casual capture settings: varying illumination, scene motion, and other unintended effects that are difficult to
Externí odkaz:
http://arxiv.org/abs/2412.07696
The issue of hate speech extends beyond the confines of the online realm. It is a problem with real-life repercussions, prompting most nations to formulate legal frameworks that classify hate speech as a punishable offence. These legal frameworks dif
Externí odkaz:
http://arxiv.org/abs/2412.06144
Autor:
Bhattarai, Manish, Barron, Ryan, Eren, Maksim, Vu, Minh, Grantcharov, Vesselin, Boureima, Ismael, Stanev, Valentin, Matuszek, Cynthia, Valtchinov, Vladimir, Rasmussen, Kim, Alexandrov, Boian
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external document retrieval to provide domain-specific or up-to-date knowledge. The effectiveness of RAG depends on the relevance of retrieved documents, which
Externí odkaz:
http://arxiv.org/abs/2412.04661
Autor:
Wu, Rundi, Gao, Ruiqi, Poole, Ben, Trevithick, Alex, Zheng, Changxi, Barron, Jonathan T., Holynski, Aleksander
We present CAT4D, a method for creating 4D (dynamic 3D) scenes from monocular video. CAT4D leverages a multi-view video diffusion model trained on a diverse combination of datasets to enable novel view synthesis at any specified camera poses and time
Externí odkaz:
http://arxiv.org/abs/2411.18613
Autor:
McDonald, Curtis, Barron, Andrew R.
This paper presents a Bayesian estimation procedure for single hidden-layer neural networks using $\ell_{1}$ controlled neuron weight vectors. We study the structure of the posterior density that makes it amenable to rapid sampling via Markov Chain M
Externí odkaz:
http://arxiv.org/abs/2411.17667
Generative Pre-Trained Transformers (GPTs) are hyped to revolutionize robotics. Here we question their utility. GPTs for autonomous robotics demand enormous and costly compute, excessive training times and (often) offboard wireless control. We contra
Externí odkaz:
http://arxiv.org/abs/2411.16917
Hate speech relies heavily on cultural influences, leading to varying individual interpretations. For that reason, we propose a Semantic Componential Analysis (SCA) framework for a cross-cultural and cross-domain analysis of hate speech definitions.
Externí odkaz:
http://arxiv.org/abs/2411.07417
Autor:
Rao, T., Barron-Palos, L., Berkutov, I., Crawford, C., Golub, R., Huffman, P., Konieczny, M., Korobkina, E., Reid, Austin, Salazar-Angeles, B., Smith, C., Tat, R.
Metastability exchange optical pumping (MEOP) is a widely used technique for producing polarized $^{3}$He. In connection with an experiment to search for the electric dipole moment of the neutron (nEDM) we have built a MEOP based $^{3}$He polarizatio
Externí odkaz:
http://arxiv.org/abs/2411.07197
Autor:
Syamkumar, Anand, Tseng, Nora, Barron, Kaycie, Yang, Shanglin, Karumbaiah, Shamya, Uppal, Rheeya, Hu, Junjie
Large language models (LLMs) offer promise in generating educational content, providing instructor feedback, and reducing teacher workload on assessments. While prior studies have focused on studying LLM-powered learning analytics, limited research h
Externí odkaz:
http://arxiv.org/abs/2411.04308