1,724,006 research outputs found
Fei-Fei Dong, Piano
No full textFebruary 19th, 2016
Fei-Fei Dong, piano, performed Galuppi: Sonata in C major; Schumann: Papillons, Op. 2; Liszt: Piano Sonata in B minorhttps://digitalcommons.rockefeller.edu/tri-institutional-noon-recitals/1149/thumbnail.jp
Fei-Fei, Piano
No full text2018, November 16
Fei-Fei, piano, performed Mozart: Piano Sonata No. 18 in D Major, K. 576; Schumann: Kinderszenen, Op. 15; Rachmaninoff: Moments Musicaux, Op.16, Nos. 2, 3, 4; Chopin: Andante spianato et Grande polonaise brillante, Op.22
Photo credit: Dario Acostahttps://digitalcommons.rockefeller.edu/tri-institutional-noon-recitals/1052/thumbnail.jp
Artist interview, Lin Fei Fei
No full textArtist interview about 21st Street WOW mural (1517 21st St., Sacramento, CA), part of the 2018 Wide Open Walls Festival. Interview conducted November 11, 2020.About the Sacramento Public Art Archive :Students in the ART 118C: Public Art course at California State University, Sacramento interviewed the artists behind murals and sculptures across the city. Their work makes up the "Sacramento Public Art Archive," a growing repository of video interviews that records, preserves, and protects the history and artistic visions behind beloved works of public art.For an interactive tour of all of the public artworks and interviews, visit the Sacramento Public Art Archive
A unified stochastic particle method based on the Bhatnagar-Gross-Krook model for polyatomic gases and its combination with DSMC
No full textSimulating hypersonic flow around a space vehicle is challenging because of
the multiscale and nonequilibrium nature inherent in these flows. To
effectively deal with such flows, a novel particle particle hybrid scheme
combining the stochastic particle Bhatnagar-Gross-Krook (BGK) method with
Direct Simulation Monte Carlo (DSMC) was developed recently, but only for
monatomic gases [Fei et. al., J. Comput. Phys. 2021]. Here this work is
extended to the particle-particle hybrid method for polyatomic gases. In the
near continuum regime, employing the Ellipsoidal Statistical BGK model proposed
by Y. Dauvois, et. al. [Eur. J. Mech. B Fluids, 2021] with discrete levels of
vibrational energy, the stochastic particle BGK method is first established
following the idea of the unified stochastic particle BGK (USPBGK) scheme. In
the fluid limit, it has been proven to be of second order temporal and spatial
accuracy. Then, the USPBGK scheme with rotational and vibrational energies is
combined with DSMC to construct a hybrid method for polyatomic gases. The
present hybrid scheme is validated with numerical tests of homogenous
relaxation, 1D shock structure and 2D hypersonic flows past a wedge and a
cylinder. Compared to traditional stochastic particle methods, the proposed
hybrid method can achieve higher accuracy at a much lower computational cost.
Therefore, it is a more efficient tool to study multiscale hypersonic flows
Caltech 101
No full textPictures of objects belonging to 101 categories. About 40 to 800 images per category. Most categories have about 50 images. Collected in September 2003 by Fei-Fei Li, Marco Andreetto, and Marc'Aurelio Ranzato. The size of each image is roughly 300 x 200 pixels. We have carefully clicked outlines of each object in these pictures, these are included under the 'Annotations.tar'. There is also a MATLAB script to view the annotations, 'show_annotations.m'.Related Publication:
One-shot learning of object categories
Li, Fei-Fei
Fergus, Rob
Perona, Pietro
IEEE Transactions on Pattern Analysis and Machine Intelligence
2006-10-16
https://doi.org/10.1109/TPAMI.2006.79
en
Fei-Fei Li: Artificial Intelligence is on its way to reshape the world
No full textAbstract
Fei-Fei Li, a well-known scientist focusing on computer vision and Artificial Intelligence (AI), did not expect such zeal in China about AI. During her last visit to Beijing, the professor of Stanford University drew much attention from both academy and industry here; NSR took the opportunity to interview Professor Li. She points out that, although the neural network has made marvelous advances in the past 15–20 years, there are still enormous challenges ahead. On the one hand, computational models for AI, such as many current deep neural networks, have theoretical bottlenecks to resolve, such as interpretability and explainability; on the other hand, AI should offer more in solving societal problems and in accelerating innovation in industries such as healthcare, traffic control and agriculture. This would be a more practical way to realize the potential and speed up the advancement of AI. Moreover, Prof. Li is interested but cautious about Artificial General Intelligence (AGI).</jats:p
RGB-W Dataset
No full textAbstract
Inspired by the recent success of RGB-D cameras, we propose the enrichment of RGB data with an additional quasi-free modality, namely, the wireless signal emitted by individuals' cell phones, referred to as RGB-W. The received signal strength acts as a rough proxy for depth and a reliable cue on a person's identity. Although the measured signals are noisy, we demonstrate that the combination of visual and wireless data significantly improves the localization accuracy. We introduce a novel image-driven representation of wireless data which embeds all received signals onto a single image. We then evaluate the ability of this additional data to (i) locate persons within a sparsity-driven framework and to (ii) track individuals with a new confidence measure on the data association problem. Our solution outperforms existing localization methods. It can be applied to the millions of currently installed RGB cameras to better analyze human behavior and offer the next generation of high-accuracy location-based services.
Conference Paper
PDF: http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Alahi_RGB-W_When_Vision_ICCV_2015_paper.pdf
Metadata
+----------------+-----------------+-----------+-----------+--------------+----------+
| Sequence Name | Length (mm:ss) | # Frames | # People | # W Devices | Download |
+----------------+-----------------+-----------+-----------+--------------+----------+
| conference-1 | 01:53 | 1,697 | 5 | 5 | 116 MiB |
| conference-2 | 05:18 | 4,782 | 12 | 12 | 379 MiB |
| conference-3 | 23:31 | 21,165 | 1 | 2 | 1.3 GiB |
| conference-4 | 06:27 | 4,832 | 1 | 2 | 357 MiB |
| conference-5 | 06:03 | 4,525 | 2 | 2 | 290 MiB |
| patio-1 | 07:22 | 6,636 | 4 | 4 | 474 MiB |
| patio-2 | 04:36 | 4,144 | 2 | 2 | 258 MiB |
| Full Dataset | 55:10 | 47,781 | -- | -- | 3.2 GiB |
+----------------+-----------------+-----------+-----------+--------------+----------+
Citation
If you would like to cite our work, please use the following.
Alahi A, Haque A, Fei-Fei L. (2015). RGB-W: When Vision Meets Wireless. International Conference on Computer Vision (ICCV). Santiago, Chile. IEEE.
@inproceedings{alahi2015rgb,
title={RGB-W: When vision meets wireless},
author={Alahi, Alexandre and Haque, Albert and Fei-Fei, Li},
booktitle={International Conference on Computer Vision},
year={2015}
FIGURE 3 in A new species and new records of Phlegmacium (Cortinariaceae) from China based on molecular and morphological evidence
No full textFIGURE 3. The basidiospores and pileipellis of P. ochraceosquamosum: A1–4. HKAS124256 (holotype); P. caesiocolor: B1–4. HKAS67872; P. glaucopus: C1–4. HKAS124253; P. kytoevuorii: D1–4. HKAS124252. (continued on the next page)Published as part of Liu, Fei-Fei, Wu, Gang & Yang, Zhu L., 2023, A new species and new records of Phlegmacium (Cortinariaceae) from China based on molecular and morphological evidence, pp. 141-157 in Phytotaxa 578 (2) on page 150, DOI: 10.11646/phytotaxa.578.2.1, http://zenodo.org/record/751783
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