| Forecasting action through contact representations from first person video E Dessalene, C Devaraj, M Maynord, C Fermüller, Y Aloimonos IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 6703-6714, 2021 | 51 | 2021 |
| Goal-driven autonomy for cognitive systems M Paisner, M Cox, M Maynord, D Perlis Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 31 | 2014 |
| Goal-driven autonomy in dynamic environments M Paisner, M Maynord, MT Cox, D Perlis Goal Reasoning: Papers from the ACS Workshop 79, 2013 | 30 | 2013 |
| Egocentric object manipulation graphs E Dessalene, M Maynord, C Devaraj, C Fermuller, Y Aloimonos arXiv preprint arXiv:2006.03201, 2020 | 19 | 2020 |
| Data-driven goal generation for integrated cognitive systems M Maynord, MT Cox, M Paisner, D Perlis 2013 AAAI Fall Symposium Series, 2013 | 18 | 2013 |
| The integration of cognitive and metacognitive processes with data-driven and knowledge-rich structures MT Cox, M Maynord, M Paisner, D Perlis, T Oates Proceedings of the Annual Meeting of the International Association for …, 2013 | 12 | 2013 |
| Therbligs in action: Video understanding through motion primitives E Dessalene, M Maynord, C Fermüller, Y Aloimonos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
| Evenly cascaded convolutional networks C Ye, C Devaraj, M Maynord, C Fermüller, Y Aloimonos 2018 IEEE International Conference on Big Data (Big Data), 4640-4647, 2018 | 6 | 2018 |
| A broad vision for intelligent behavior: Perpetual real-world cognitive agents D Perlis, MT Cox, M Maynord, E McNany, M Paisner, V Shivashankar, ... 2013 Annual Conference on Advances in Cognitive Systems: Workshop on …, 2013 | 6 | 2013 |
| Image surveillance assistant M Maynord, S Bhattacharya, DW Aha 2016 IEEE Winter Applications of Computer Vision Workshops (WACVW), 1-7, 2016 | 5 | 2016 |
| Increasing the runtime speed of case-based plan recognition M Maynord, S Vattam, DW Aha The Twenty-Eighth International Flairs Conference, 2015 | 4 | 2015 |
| Semi‐supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT M Maynord, MM Farhangi, C Fermüller, Y Aloimonos, G Levine, N Petrick, ... Medical Physics 50 (7), 4255-4268, 2023 | 2 | 2023 |
| Learning for action-based scene understanding C Fermüller, M Maynord Advanced Methods and Deep Learning in Computer Vision, 373-403, 2022 | 2 | 2022 |
| Context-Aware Systems M Maynord | 2 | 2014 |
| Mid-Vision Feedback M Maynord, ET Dessalene, C Fermuller, Y Aloimonos The Eleventh International Conference on Learning Representations, 2022 | 1 | 2022 |
| Image Surveillance Assistant Architecture: Status and Planned Extensions M Maynord, DW Aha, S Bhattacharya Deep Learning for Artificial Intelligence (DLAI) Workshop of the 25th …, 2016 | 1 | 2016 |
| Training CADe algorithms with synthetic datasets: augmenting clinical data for improved lung nodule detection M Farhangi, M Maynord, B Sahiner, N Petrick Medical Imaging 2024: Computer-Aided Diagnosis 12927, 666-670, 2024 | | 2024 |
| Context in Human Action Through Motion Complementarity E Dessalene, M Maynord, C Fermüller, Y Aloimonos Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| LEAP: LLM-Generation of Egocentric Action Programs E Dessalene, M Maynord, C Fermüller, Y Aloimonos arXiv preprint arXiv:2312.00055, 2023 | | 2023 |
| An Image-To-Speech iPad App X Zhu, J Rosin, KS Jun, CR Dyer, M Maynord, J Tiachunpun University of Wisconsin-Madison Department of Computer Sciences, 2012 | | 2012 |
