Zobrazeno 1 - 10
of 23 090
pro vyhledávání: '"Sigal IS"'
Autor:
Sigal, Israel Michael, Wu, Xiaoxu
We revisit key notions related to evolution of quantum information in quantum mechanics and prove uniform bounds on the maximal speed of propagation of quantum information for states and observables with exponential error bounds. Our results imply, i
Externí odkaz:
http://arxiv.org/abs/2409.01473
Vision-Language Models (VLMs) have emerged as general purpose tools for addressing a variety of complex computer vision problems. Such models have been shown to be highly capable, but, at the same time, also lacking some basic visual understanding sk
Externí odkaz:
http://arxiv.org/abs/2408.06721
Recent studies customizing Multimodal Large Language Models (MLLMs) for domain-specific tasks have yielded promising results, especially in the field of scientific chart comprehension. These studies generally utilize visual instruction tuning with sp
Externí odkaz:
http://arxiv.org/abs/2407.14506
Autor:
Chen, Allan Xi, Liu, Nai-Wei, Gunn, Alexander, Su, Zhe, Sigal, Benjamin F., Salazar, Matthew, Abdalla, Nawar, Chen, James, Wong, Alfred Y., Wang, Qiong
We demonstrate a compact ion beam device capable of accelerating H$^+$ and D$^+$ ions up to 75keV energy, on to a solid target, with sufficient beam current to study fusion reactions. The ion beam system uses a microwave driven plasma source to gener
Externí odkaz:
http://arxiv.org/abs/2407.04197
Autor:
Cristi, Andrés, Oren, Sigal
We devise a general graph-theoretic framework for studying prophet inequalities. In this framework, an agent traverses a directed acyclic graph from a starting node $s$ to a target node $t$. Each edge has a value that is sampled from a known distribu
Externí odkaz:
http://arxiv.org/abs/2406.13911
Autor:
Raab, Sigal, Gat, Inbar, Sala, Nathan, Tevet, Guy, Shalev-Arkushin, Rotem, Fried, Ohad, Bermano, Amit H., Cohen-Or, Daniel
Given the remarkable results of motion synthesis with diffusion models, a natural question arises: how can we effectively leverage these models for motion editing? Existing diffusion-based motion editing methods overlook the profound potential of the
Externí odkaz:
http://arxiv.org/abs/2406.06508
For reconstructing high-fidelity human 3D models from monocular videos, it is crucial to maintain consistent large-scale body shapes along with finely matched subtle wrinkles. This paper explores the observation that the per-frame rendering results c
Externí odkaz:
http://arxiv.org/abs/2406.00637
The emergence of attention-based transformer models has led to their extensive use in various tasks, due to their superior generalization and transfer properties. Recent research has demonstrated that such models, when prompted appropriately, are exc
Externí odkaz:
http://arxiv.org/abs/2404.11732
Publikováno v:
European Conference on Computer Vision, 2024
Modern pre-trained architectures struggle to retain previous information while undergoing continuous fine-tuning on new tasks. Despite notable progress in continual classification, systems designed for complex vision tasks such as detection or segmen
Externí odkaz:
http://arxiv.org/abs/2403.14797
A fundamental component in the theoretical school choice literature is the problem a student faces in deciding which schools to apply to. Recent models have considered a set of schools of different selectiveness and a student who is unsure of their s
Externí odkaz:
http://arxiv.org/abs/2403.04616