VIU (Miguel Eckstein) Lab UC Santa Barbara @LabViu
The Vision and Image Understanding Laboratory at the University of California, Santa Barbara (Eckstein Lab) viu.psych.ucsb.edu UC Santa Barbara Joined August 2019-
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New preprint analyzing 1.8 million neurons of CNNs with emergent behavioral and neuronal signatures of covert attention without incorporating any explicit attention mechanism. With @sudh8887 @WilliamWangNLP biorxiv.org/content/10.110…
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/…
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.
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).
1/n: New Current Biology paper, Emergent human-like Covert Attention in Feed Forward Convolutional Neural Networks cell.com/current-biolog… Congratulations 1st author @sudh8887
New collaborative paper with Steyvers lab (UCI) on how experts and novices use language to make inferences about people's knowledge. Congrats @nicole7han and VIU lab star-undergrad @Ansh_soni1234! link.springer.com/article/10.375…
New lab paper Psych. Bull. & Review: A preference to look closer to the eyes is associated with a position-invariant face neural code link.springer.com/article/10.375…
New lab paper in eLife characterizing the inferential and functional nature of social attention’s fine-grain eye movement dynamics. doi.org/10.7554/eLife.…
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.
Our 2023 Annual Summit: “AI and Decision Making” is taking place this April 13th and 14th. For more information and to register for this free event, visit: mind-machine.ucsb.edu/events/all/202…
New IEEE TMI lab paper (lead author, Devi Klein) understanding why and under what circumstances a 2-D synthesized image aids search in 3D image stacks commonly used in radiology. ieeexplore.ieee.org/document/10046…
Congrats Nicole Han for a new lab paper on Dynamic Gaze, covert attention, and microsaccades. Psych Bull. & Rev. link.springer.com/article/10.375…
Our 2022 Annual Summit: “AI and Neuroscience” is taking place this February 16th and 17th. For more information and to register for this free event, visit: mind-machine.ucsb.edu/events/all/202… Join in with @WilliamWangNLP @bingbrunton @guyvdb @jrking0 and many others!
Very excited for our final Fall Vision Meeting event of 2021! Join us on 18 Nov @ 12 PM ET for Bill Geisler's Edgar D. Tillyer Award Lecture. Info & register: osafallvisionmeeting.org/program-overvi…
UCSB Center for Responsible Machine Learning Distinguished Lecture Series: AI and Our Future: A Conversation with Kai-Fu Lee. WEDNESDAY, NOVEMBER 17, 2021 4:00 PM PT. Free Registration and Open to All: ml.ucsb.edu/kai-fu-lee
You're invited to the third annual Responsible Machine Learning Summit on Fri.Oct.1. Professor Stuart Russell (UC Berkeley) will deliver the opening keynote on Human Compatible AI. ml.ucsb.edu/stuart-russell. webinar registration: ml.ucsb.edu/2021-responsib…
We are looking for a postdoc to work on understanding how humans and DNNs see differently when searching for objects, interpreting scenes, navigating, and finding cancer in medical images. All, at an awful location, UC Santa Barbara, CA. Apply here: recruit.ap.ucsb.edu/JPF02009
Two new lab papers on eye movements to faces for jumbled features (doi.org/10.1167/jov.21…) and for challenging categorization tasks (Vision Res., tinyurl.com/st36ywrn). Congrats Nicole and Puneeth!
New lab paper by @sudh8887 shows how a CNN with a few million neurons learns to attend to cues/context, & predicts human and Bayesian ideal observer performance effects for classic attention paradigms: Posner cue, set-size search, and contextual cueing. psyarxiv.com/tymfn/
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