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
Read MoreBy 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.”
Read MoreBy 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: […]
Read MoreBy tech | October 4, 2018 | Category Uncategorized
John Tsotsos was keynote speaker at the 1st Workshop on Brain-Driven Computer Vision (BDCV 2018), a workshop held in Association with the European Conference on Computer Vision (ECCV) in Munich, Germany, Sept. 8, 2018. The talk slides can be seen here: http://www.upcv.upatras.gr/BDCV/BDCV-eecv2018.pdf
Read MoreBy tech | October 4, 2018 | Category Uncategorized
John Tsotsos gave a keynote talk at the the 7th International Conference on Spatial Cognition (ICSC 2018) in Rome, Italy, Sept. 13, 2018. More information on the talk can be found here: https://www.icsc-rome.org/keynotes/ Abstract: I will present a view of the breadth of activities, recently completed, ongoing or just hot off the presses, in my […]
Read MoreBy tech | October 4, 2018 | Category Uncategorized
Amir Rasouli will present “It’s Not All About Size: On the Role of Data Properties in Pedestrian Detection,” at the 6th Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving (CVRSUAD) at the European Conference on Computer Vision (ECCV 2018). The poster can be found here, and for more information on the workshop, […]
Read MoreBy tech | October 4, 2018 | Category Uncategorized
Abstract: The Selective Tuning model of visual attention (Tsotsos, 1990) has proposed that the focus of attention is surrounded by an inhibitory zone, eliciting a center-surround attentional distribution. This attentional suppressive surround inhibits irrelevant information which is located close to attended information in physical space (e.g., Cutzu and Tsotsos, 2003; Hopf et al., 2010) or […]
Read MoreBy tech | October 4, 2018 | Category Uncategorized
Abstract: Perceptual judgment of image similarity by humans relies on rich internal representations ranging from low-level features to high-level concepts, scene properties and even cultural associations. However, existing methods and datasets attempting to explain perceived similarity use stimuli which arguably do not cover the full breadth of factors that a ect human similarity judgments, even those […]
Read MoreBy tech | August 1, 2018 | Category Uncategorized
John Tsotsos recently turned 65! To honour John’s many contributions in the visual sciences, a Spoken Festschrift and Celebratory Symposium was held on Saturday, May 12th, 2018 at York University in Toronto, Canada. There were talks from distinguished researchers in areas in which John has contributed, as well as talks by his academic children. […]
Read MoreBy tech | July 5, 2018 | Category Uncategorized
A Demonstration of interesting failures of State-of-The-Art object detectors by Amir Rosenfeld. Contact details can be found here: https://sites.google.com/view/amirrosenfeld/ Media mentions: 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 […]
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