| Speedup of deep learning ensembles for semantic segmentation using a model compression technique A Holliday, M Barekatain, J Laurmaa, C Kandaswamy, H Prendinger Computer Vision and Image Understanding 164, 16-26, 2017 | 30 | 2017 |
| Scale-robust localization using general object landmarks A Holliday, G Dudek 2018 IEEE/RSJ international conference on intelligent robots and systems …, 2018 | 12 | 2018 |
| Pre-trained CNNs as Visual Feature Extractors: A Broad Evaluation A Holliday, G Dudek Computer and Robot Vision 2020, 2020 | 6 | 2020 |
| Gaze selection for enhanced visual odometry during navigation T Manderson, A Holliday, G Dudek 2018 15th Conference on Computer and Robot Vision (CRV), 110-117, 2018 | 5 | 2018 |
| Augmenting Transit Network Design Algorithms with Deep Learning A Holliday, G Dudek Intelligent Transportation Systems, 2023 | 2 | 2023 |
| Scale-invariant localization using quasi-semantic object landmarks A Holliday, G Dudek Autonomous Robots 45 (3), 407-420, 2021 | 2 | 2021 |
| A Neural-Evolutionary Algorithm for Autonomous Transit Network Design A Holliday, G Dudek arXiv preprint arXiv:2403.07917, 2024 | 1 | 2024 |
| Learning Heuristics for Transit Network Design and Improvement with Deep Reinforcement Learning A Holliday, A El-Geneidy, G Dudek arXiv preprint arXiv:2404.05894, 2024 | | 2024 |
| Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model F Lotfi, K Virji, F Faraji, L Berry, A Holliday, D Meger, G Dudek arXiv preprint arXiv:2310.00760, 2023 | | 2023 |
| Object-features for localization under extreme scale changes A Holliday McGill University (Canada), 2017 | | 2017 |
Gregory DudekProfessor of Computer Science, Center for Intelligent Machines, McGill UniversityVerified email at cim.mcgill.ca
