User profiles for D. Zoran
Daniel ZoranGoogle DeepMind Verified email at google.com Cited by 5346 |
Obesity in dogs and cats: a metabolic and endocrine disorder
DL Zoran - Veterinary Clinics: Small Animal Practice, 2010 - vetsmall.theclinics.com
Obesity is defined as an accumulation of excessive amounts of adipose tissue in the body,
and has been called the most common nutritional disease of dogs in Western countries. 1–5 …
and has been called the most common nutritional disease of dogs in Western countries. 1–5 …
The carnivore connection to nutrition in cats
DL Zoran - Journal of the American Veterinary Medical …, 2002 - Am Vet Med Assoc
… vitamin D via dermal photosynthesis because they lack 7-dehydrocholesterol, which is required
for synthesis.Vitamin D is … The primary function of vitamin D is calcium and phosphorus …
for synthesis.Vitamin D is … The primary function of vitamin D is calcium and phosphorus …
From learning models of natural image patches to whole image restoration
Learning good image priors is of utmost importance for the study of vision, computer vision
and image processing applications. Learning priors and optimizing over whole images can …
and image processing applications. Learning priors and optimizing over whole images can …
Perceiver io: A general architecture for structured inputs & outputs
… Our goal is to produce a final output array of size O × E, given a latent representation of
size N × D. We produce an output of this size by querying the decoder with an array of index …
size N × D. We produce an output of this size by querying the decoder with an array of index …
Multi-object representation learning with iterative variational inference
… of dimension D. The deterministic pixel-wise means and masks are denoted µ and m
respectively. (d) The neural architecture of the IODINE’s multiobject spatial mixture decoder. …
respectively. (d) The neural architecture of the IODINE’s multiobject spatial mixture decoder. …
[PDF][PDF] Visual interaction networks: Learning a physics simulator from video
From just a glance, humans can make rich predictions about the future of a wide range of
physical systems. On the other hand, modern approaches from engineering, robotics, and …
physical systems. On the other hand, modern approaches from engineering, robotics, and …
Scale invariance and noise in natural images
Natural images are known to have scale invariant statistics. While some eariler studies have
reported the kurtosis of marginal bandpass filter response distributions to be constant …
reported the kurtosis of marginal bandpass filter response distributions to be constant …
Nerf-vae: A geometry aware 3d scene generative model
We propose NeRF-VAE, a 3D scene generative model that incorporates geometric structure
via Neural Radiance Fields (NeRF) and differentiable volume rendering. In contrast to NeRF…
via Neural Radiance Fields (NeRF) and differentiable volume rendering. In contrast to NeRF…
Crisp boundary detection using pointwise mutual information
… Further, comparing Figure 4(c) and (d), we find that it is important that the statistics for PMIρ
be adapted to the test image itself. Figure 4(c) shows the result when the distribution P(A, B) …
be adapted to the test image itself. Figure 4(c) shows the result when the distribution P(A, B) …
Lavan: Localized and visible adversarial noise
Most works on adversarial examples for deep-learning based image classifiers use noise
that, while small, covers the entire image. We explore the case where the noise is allowed to …
that, while small, covers the entire image. We explore the case where the noise is allowed to …