Results 171 to 180 of about 1,349,860 (222)
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The Sound of Pixels

European Conference on Computer Vision, 2018
We introduce PixelPlayer, a system that, by leveraging large amounts of unlabeled videos, learns to locate image regions which produce sounds and separate the input sounds into a set of components that represents the sound from each pixel.
Hang Zhao   +5 more
semanticscholar   +1 more source

InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Neural Information Processing Systems
The Large Vision-Language Model (LVLM) field has seen significant advancements, yet its progression has been hindered by challenges in comprehending fine-grained visual content due to limited resolution.
Xiao-wen Dong   +23 more
semanticscholar   +1 more source

An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels

International Conference on Learning Representations
This work does not introduce a new method. Instead, we present an interesting finding that questions the necessity of the inductive bias of locality in modern computer vision architectures.
Duy-Kien Nguyen   +5 more
semanticscholar   +1 more source

Pixellated circle

Applied Optics, 2018
For applications in optical systems it is often necessary to represent a circular aperture in a pixellated form. An objective parameter is introduced that is a measure of how well an approximate circle can be generated from a small array of square pixels. Both filled circles (disks) and rings are considered.
openaire   +3 more sources

Colorado 14ers, Pixel by Pixel

International Journal of Applied Geospatial Research, 2011
This document describes a capstone learning exercise designed for undergraduates enrolled in an introductory geospatial tools course. The overarching theme of the exercise, Colorado 14ers, Pixel by Pixel, is mountain geography. While immersed in a digital mountainous landscape, students explore topics of geomorphology and geomorphometry and discover ...
openaire   +1 more source

On Finding Gray Pixels

Computer Vision and Pattern Recognition, 2019
We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness and efficiency in illumination estimation. The grayness index, GI in short, is derived using the Dichromatic Reflection Model and is learning-free.
Yanlin Qian   +3 more
semanticscholar   +1 more source

Pixels and 3-D Points Alignment Method for the Fusion of Camera and LiDAR Data

IEEE Transactions on Instrumentation and Measurement, 2019
The fusion of light detection and ranging (LiDAR) and camera data is a promising approach to improve the environmental perception and recognition for intelligent vehicles because of the combination of depth and color information.
Shichao Xie   +3 more
semanticscholar   +1 more source

Essential Spectral Pixels for Multivariate Curve Resolution of Chemical Images.

Analytical Chemistry, 2019
We propose a methodology to select essential spectral pixels (ESPs) of chemical images. These pixels are on the outer enve-lope of the principal component scores of the data and can be identified by convex-hull computation. As ESPs carry all the linearly-
Mahdiyeh Ghaffari   +2 more
semanticscholar   +1 more source

Computational grid, subgrid, and pixels

International Journal for Numerical Methods in Fluids, 2019
Free‐surface flows in rivers, estuaries, and coastal areas are strongly dominated by the geometrical details of the study area. Nowadays, accurate bathymetric data are easily available on raster‐based digital elevation models with an impressive spatial ...
V. Casulli
semanticscholar   +1 more source

Range From Focus Pixel-by -Pixel

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
We describe a nd demonstrate an ambient lllumlnation method for range Imaging In parallel with and using the same sensor that is used for Intensity Imaging. Our method automates the well known "range-from-focus" method. It makes use of our reaiizatlon that range can be calculated directly from a focus error signal: It is not necessary to actually focus
M.W. Siegel, M.L. Leary
openaire   +1 more source

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