Autonomous vehicles that interact with pedestrians: A survey of theory and practice A Rasouli, JK Tsotsos IEEE transactions on intelligent transportation systems 21 (3), 900-918, 2019 | 733 | 2019 |
Are they going to cross? a benchmark dataset and baseline for pedestrian crosswalk behavior A Rasouli, I Kotseruba, JK Tsotsos Proceedings of the IEEE International Conference on Computer Vision …, 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 Proceedings of the IEEE/CVF International Conference on Computer Vision …, 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 |
Bifold and semantic reasoning for pedestrian behavior prediction A Rasouli, M Rohani, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 52 | 2021 |
Deep learning for vision-based prediction: A survey A Rasouli arXiv preprint arXiv:2007.00095, 2020 | 51 | 2020 |
Do they want to cross? understanding pedestrian intention for behavior prediction I Kotseruba, A Rasouli, JK Tsotsos 2020 IEEE Intelligent Vehicles Symposium (IV), 1688-1693, 2020 | 48 | 2020 |
Joint attention in driver-pedestrian interaction: from theory to practice A Rasouli, JK Tsotsos arXiv preprint arXiv:1802.02522, 2018 | 43 | 2018 |
The effect of color space selection on detectability and discriminability of colored objects A Rasouli, JK Tsotsos arXiv preprint arXiv:1702.05421, 2017 | 43 | 2017 |
It's not all about size: On the role of data properties in pedestrian detection A Rasouli, I Kotseruba, JK Tsotsos Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 40 | 2018 |
Multi-modal hybrid architecture for pedestrian action prediction A Rasouli, T Yau, M Rohani, J Luo 2022 IEEE intelligent Vehicles symposium (IV), 91-97, 2022 | 37 | 2022 |
Attention-based active visual search for mobile robots A Rasouli, P Lanillos, G Cheng, JK Tsotsos Autonomous Robots 44 (2), 131-146, 2020 | 31 | 2020 |
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 |
Visual saliency improves autonomous visual search A Rasouli, JK Tsotsos 2014 Canadian Conference on Computer and Robot Vision, 111-118, 2014 | 24 | 2014 |
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 |
Graph-sim: A graph-based spatiotemporal interaction modelling for pedestrian action prediction T Yau, S Malekmohammadi, A Rasouli, P Lakner, M Rohani, J Luo 2021 IEEE International Conference on Robotics and Automation (ICRA), 8580-8586, 2021 | 19 | 2021 |