Kotseruba, I., Rasouli, A., & Tsotsos, J. K. (2021). Benchmark for evaluating pedestrian action prediction. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1258-1268). Tsotsos, J. K., Abid, O., Kotseruba, I., & Solbach, M. D. (2021). On the control of attentional processes in vision. Cortex, 137, 305-329. Kotseruba, I., & […]
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Venues: Neurosciences 2021, Virtual Paper:Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain Abstract: The mechanisms of local shape information transformation from V1 to more abstract representations in IT are unknown. Studying the selectivities in intermediate stages of transformation suggest plausible mechanisms. For example, findings in Macaque V4 […]
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Venue: CVR 2021, Virtual Paper: Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain Abstract: The mechanisms involved in transforming early visual signals to curvature representations in V4 are unknown. We propose a hierarchical model that reveals V1/V2 encodings that are essential components for this transformation to the […]
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Venue: VSS 2021, Virtual Paper:Learning a model of shape selectivity in V4 cells reveals shape encoding mechanisms in the brain Abstract: The mechanisms of local shape information transformation from V1 to more abstract representations in IT are unknown. Studying the selectivities in intermediate stages of transformation suggest plausible mechanisms. For example, Pasupathy and Conner [1] […]
Read MoreKotseruba, I., & Tsotsos, J. K. (2020). 40 years of cognitive architectures: core cognitive abilities and practical applications. Artificial Intelligence Review, 53(1), 17-94. Rasouli, A., Kotseruba, I., & Tsotsos, J. K. (2020). Pedestrian action anticipation using contextual feature fusion in stacked rnns. arXiv preprint arXiv:2005.06582. Kotseruba, I., Rasouli, A., & Tsotsos, J. K. (2020, October). […]
Read MoreA. Rasouli, I. Kotseruba, and J. K. Tsotsos, “Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs,” In Proc. British Machine Vision Conference (BMVC), 2019. A. Rasouli and J. K. Tsotsos, “Autonomous vehicles that interact with pedestrians: A survey of theory and practice,” IEEE Transactions on Intelligent Transportation Systems, pp. 1-19, 2019. I. Kotseruba, […]
Read MoreVision researchers at York University have disproved a long-standing theory of how the human vision system processes images, using computational models and human experiments. A team led by John Tsotsos, professor in the Department of Electrical Engineering and Computer Science at the Lassonde School of Engineering, found that the human brain does not select interesting portions […]
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Venue: Neuroscience 2019, Chicago, IL Paper: Multiplicative modulations enhance unique hue representation in V4 Abstract: Which region in the brain represents unique hues is unknown. We introduce a hierarchical model inspired by neural mechanisms in the visual system for local hue representation and with computational simulations suggest that cells in V4 have the capacity to […]
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Venue: Neuroscience 2019, Chicago, IL Paper:Early Recurrence Enables Figure Border Ownership Abstract: Rubin’s face-vase illusion demonstrates how one can switch between two different interpretations depending on how the figure outlines are assigned [1]. This border ownership assignment is an important step in the perception of forms. Zhou et al. [2] found neurons in the visual […]
Read MoreSince 2015 Lassonde has offered internal summer research awards to provide research experience for undergraduate students. The LURA program is run jointly with NSERC USRA and ends each summer with a professional conference that includes poster sessions, oral presentations, networking and awards. This year Dr. John Tsotsos supervised undergraduate researcher Brittany Danishevsky. She presented her […]
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