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Paria Mehrani presents “Multiplicative modulations enhance unique hue representation” at CVR 2019

By tech | July 29, 2019 | Category Presentations

Venue: CVR 2019, York University Paper: Multiplicative modulations enhance unique hue representation Abstract: There is still much to understand about the color processing mechanisms in the brain and the transformation from cone-opponent representations to perceptual hues. Moreover, it is unclear which areas(s) in the brain represent unique hues. We propose a hierarchical model inspired by […]

Announcing the Oral Examination of Calden Wloka

By tech | July 22, 2019 | Category Announcements, Oral Examinations

Calden Wloka, a PhD candidate in Computer Science, will be presenting his thesis, “An Evaluation of Saliency and Its Limits.” Please see below for information on the time and place of his oral examination. Date: Wednesday, July 31, 2019 Time: 11:00 AM Place: Room 232 York Lanes

ICPV 2019 Best Computer Vision Poster Award for Calden Wloka’s work “SMILER: An Easy and Consistent Way to Compute Saliency Maps”

By tech | July 18, 2019 | Category Awards

At the International Conference on Predictive Vision (ICPV) 2019, Calden presented a poster done in collaboration with Toni Kunic and Iuliia Kotseruba, “SMILER: An Easy and Consistent Way to Compute Saliency Maps”. This poster was awarded first place in the Computer Vision category.

Toni Kunic presents “SMILER: Consistent and Usable Saliency Model Implementations” at MODVIS 2019

By tech | July 18, 2019 | Category Presentations

Toni spoke at MODVIS introducing the technical aspects of the Saliency Model Implementation Library for Experimental Research (SMILER) project and provided an overview of how the software library can facilitate vision research. Venue: MODVIS 2019 Paper: SMILER: Consistent and Usable Saliency Model Implementations Abstract: The Saliency Model Implementation Library for Experimental Research (SMILER) is a […]

Media Mention: “Totally Looks Like” Project by Markus Solbach and Amir Rosenfeld

By tech | July 3, 2019 | Category Media Mentions

Quanta Magazine recently published an article covering Markus Solbach and Amir Rosenfeld’s “Totally Looks Like” Project. See the article below! Quanta Magazine: Where We See Shapes: AI Sees Texture | Published July 1, 2019

Media Mention: “Same-Different” Project by Markus Solbach

By tech | July 3, 2019 | Category Media Mentions

Markus Solbach’s “Same-Different” Project was featured on Global News. Check out the video below! Global News: Queen’s U. Engineering students visit Global News Morning with an innovative new robot | Published June 5, 2019

Paria Mehrani presents “Multiplicative modulations in hue-selective cells enhance unique hue representation” at ICVS 2019

By tech | June 29, 2019 | Category Presentations

Venue: ICVS 2019, Latvia Paper:Multiplicative modulations in hue-selective cells enhance unique hue representation Abstract: Which region in the brain represents unique hues is a matter of debate among color vision researchers [1, 2]. Here, we introduce a hierarchical model inspired by neural mechanisms in the visual system for local hue representation and with computational simulations […]

CASCON 2018 Keynote: “It Only Took 60 Years to Solve Artificial Intelligence – That Wasn’t so Hard, Was it?”

By tech | October 4, 2018 | Category Uncategorized

John Tsotsos will give a keynote talk at the 28th Annual International Conference on Computer Science and Software Engineering (CASCON 2018) in Toronto, Canada, Oct. 31, 2018. More details: https://www-01.ibm.com/ibm/cas/cascon/ Abstract: It has been 62 years since

Yulia Kotseruba and John Tsotsos Keynote Talk at 2018 AAAI Fall Symposium

By tech | October 4, 2018 | Category Uncategorized

Yulia Kotseruba and John Tsotsos are Keynote Speakers for the 2018 AAAI Fall Symposium on ‘A Common Model of Cognition’, in Arlington VA, Oct. 19, 2018. The title of the talk is “40 Years of Cognitive Architectures: Core Cognitive Abilities and Practical Applications.”

Tsotsos Lab’s recent media mentions

By tech | October 4, 2018 | Category Uncategorized

The New York Times: Artificial Intelligence Hits the Barrier of Meaning Quanta Magazine: Machine Learning Confronts the Elephant in the Room The Register: AI image recognition systems can be tricked by copying and pasting random objects jiqizhixin.com: 「房间里的大象」：让目标检测器一脸懵逼 Import AI: Fooling object recognition systems by adding more objects Twitter: : “Fan Art” tvo.org: Ontario Innovators: […]

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