| 40 years of cognitive architectures: core cognitive abilities and practical applications I Kotseruba, JK Tsotsos Artificial Intelligence Review 53, 17-94, 2020 | 487* | 2020 |
| Are They Going to Cross? A Benchmark Dataset and Baseline for Pedestrian Crosswalk Behavior A Rasouli, I Kotseruba, JK Tsotsos IEEE International Conference on Computer Vision Workshop (ICCVW), 206-213, 2017 | 334 | 2017 |
| PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction A Rasouli, I Kotseruba, T Kunic, JK Tsotsos International Conference on Computer Vision (ICCV), 2019 | 320 | 2019 |
| Agreeing to cross: How drivers and pedestrians communicate A Rasouli, I Kotseruba, JK Tsotsos 2017 IEEE Intelligent Vehicles Symposium (IV), 264-269, 2017 | 274 | 2017 |
| Understanding pedestrian behavior in complex traffic scenes A Rasouli, I Kotseruba, JK Tsotsos IEEE Transactions on Intelligent Vehicles 3 (1), 61-70, 2017 | 241 | 2017 |
| Joint Attention in Autonomous Driving (JAAD) I Kotseruba, A Rasouli, JK Tsotsos arXiv preprint arXiv:1609.04741, 2016 | 120 | 2016 |
| Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs A Rasouli, I Kotseruba, JK Tsotsos British Machine Vision Conference (BMVC), 2019 | 112 | 2019 |
| Benchmark for Evaluating Pedestrian Action Prediction I Kotseruba, A Rasouli, JK Tsotsos Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 86 | 2021 |
| Active Fixation Control to Predict Saccade Sequences C Wloka, I Kotseruba, JK Tsotsos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 60* | 2018 |
| Do they want to cross? Understanding pedestrian intention for behavior prediction I Kotseruba, A Rasouli, JK Tsotsos IEEE Intelligent Vehicles Symposium (IV), 1688-1693, 2020 | 48 | 2020 |
| It’s Not All About Size: On the Role of Data Properties in Pedestrian Detection A Rasouli, I Kotseruba, JK Tsotsos European Conference on Computer Vision, 210-225, 2018 | 40 | 2018 |
| Towards social autonomous vehicles: Understanding pedestrian-driver interactions A Rasouli, I Kotseruba, JK Tsotsos 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 29 | 2018 |
| A Focus on Selection for Fixation J Tsotsos, I Kotseruba, C Wloka Journal of Eye Movement Research 9 (5), 2016 | 28 | 2016 |
| Do Saliency Models Detect Odd-One-Out Targets? New Datasets and Evaluations I Kotseruba, C Wloka, A Rasouli, JK Tsotsos British Machine Vision Conference (BMVC), 2019 | 21 | 2019 |
| NetwoRx: connecting drugs to networks and phenotypes in Saccharomyces cerevisiae K Fortney, W Xie, M Kotlyar, J Griesman, Y Kotseruba, I Jurisica Nucleic acids research 41 (D1), D720-D727, 2012 | 20 | 2012 |
| Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets I Kotseruba, JK Tsotsos IEEE Transactions on Intelligent Transportation Systems, 1-22, 2022 | 19 | 2022 |
| Behavioral research and practical models of drivers' attention I Kotseruba, JK Tsotsos arXiv preprint arXiv:2104.05677, 2021 | 18 | 2021 |
| On the control of attentional processes in vision JK Tsotsos, O Abid, I Kotseruba, MD Solbach Cortex 137, 305-329, 2021 | 17 | 2021 |
| Smiler: Saliency model implementation library for experimental research C Wloka, T Kunić, I Kotseruba, R Fahimi, N Frosst, NDB Bruce, JK Tsotsos arXiv preprint arXiv:1812.08848, 2018 | 17 | 2018 |
| Pedformer: Pedestrian behavior prediction via cross-modal attention modulation and gated multitask learning A Rasouli, I Kotseruba 2023 IEEE International Conference on Robotics and Automation (ICRA), 9844-9851, 2023 | 12 | 2023 |
John K. TsotsosYork University, Canadaยืนยันอีเมลแล้วที่ yorku.ca
