VIU (Miguel Eckstein) Lab UC Santa Barbara

45 posts

VIU (Miguel Eckstein) Lab UC Santa Barbara banner
VIU (Miguel Eckstein) Lab UC Santa Barbara

VIU (Miguel Eckstein) Lab UC Santa Barbara

@LabViu

The Vision and Image Understanding Laboratory at the University of California, Santa Barbara (Eckstein Lab)

UC Santa Barbara Katılım Ağustos 2019
216 Takip Edilen154 Takipçiler
VIU (Miguel Eckstein) Lab UC Santa Barbara
Short 5-min AI generated (VIU human fact-checked) podcast for "Emergent neuronal mechanisms mediating covert attention in convolutional neural networks" (PNAS, 2025)
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VIU (Miguel Eckstein) Lab UC Santa Barbara retweetledi
University of California
University of California@UofCalifornia·
Who really "invented" the iPhone? Universities. Specifically, key technology underlying the iPhone can be attributed to scientists at @UCBerkeley @UDelaware and @stanford. All of these inventions have one common thread: federal funding for science.
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UCSB Mind and Machine Intelligence
Call for Submissions: UCSB AI/Human Creativity Contest As part of this year's summit "AI and Human Creativity" the Mellichamp Initiative in Mind & Machine Intelligence is organizing three AI/Human Creativity contests: Short Story, Visual Art, and Music mind-machine.ucsb.edu/news/all/2024/…
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VIU (Miguel Eckstein) Lab UC Santa Barbara
3/n The cue/context effects are emergent for a variety of network sizes, training schemes, and pre-trained large networks (VGG16). The results generalize to tasks with pre-cues, central cues, and discrimination judgments.
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VIU (Miguel Eckstein) Lab UC Santa Barbara
2/n The CNNs, without any built-in explicit attention mechanism or cue/context priors predict human behavior for three classic attention tasks: Posner cueing, search, and contextual cueing. The cue/context effects are comparable to those of a Bayesian Ideal Observer (BIO).
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VIU (Miguel Eckstein) Lab UC Santa Barbara retweetledi
UCSB Computer Science Department
PhD Student Yujie Lu was awarded Best Paper at ACM CHI Conference on Human Factors in Computing Systems 2023, for her work with Stanford University and Carnegie Mellon University. Read the full article and paper on the CS website. Link in bio.
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