| Network deconvolution C Ye, M Evanusa, H He, A Mitrokhin, T Goldstein, JA Yorke, C Fermüller, ... arXiv preprint arXiv:1905.11926, 2019 | 51 | 2019 |
| Event-based attention and tracking on neuromorphic hardware M Evanusa, Y Sandamirskaya Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
| SpikeMS: Deep spiking neural network for motion segmentation CM Parameshwara, S Li, C Fermüller, NJ Sanket, MS Evanusa, ... 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 30 | 2021 |
| Learning spatial models for navigation SL Epstein, A Aroor, M Evanusa, EI Sklar, S Parsons Spatial Information Theory: 12th International Conference, COSIT 2015, Santa …, 2015 | 25 | 2015 |
| Navigation with Learned Spatial Affordances. SL Epstein, A Aroor, M Evanusa, E Sklar, S Parsons CogSci, 2015 | 13 | 2015 |
| Spatial abstraction for autonomous robot navigation SL Epstein, A Aroor, M Evanusa, EI Sklar, S Parsons Cognitive processing 16, 215-219, 2015 | 9 | 2015 |
| Spikems: Deep spiking neural network for motion segmentation. In 2021 IEEE CM Parameshwara, S Li, C Fermüller, NJ Sanket, MS Evanusa, ... RSJ International Conference on Intelligent Robots and Systems (IROS), 3414-3420, 0 | 8 | |
| Deep-readout random recurrent neural networks for real-world temporal data M Evanusa, S Shrestha, V Patil, C Fermüller, M Girvan, Y Aloimonos SN Computer Science 3 (3), 222, 2022 | 3 | 2022 |
| Deep reservoir networks with learned hidden reservoir weights using direct feedback alignment M Evanusa, C Fermüller, Y Aloimonos ArXivorg, 2020 | 3 | 2020 |
| A deep 2-dimensional dynamical spiking neuronal network for temporal encoding trained with STDP M Evanusa, C Fermuller, Y Aloimonos arXiv preprint arXiv:2009.00581, 2020 | 2 | 2020 |
| Dot-vae: Disentangling one factor at a time V Patil, M Evanusa, J JaJa International Conference on Artificial Neural Networks, 109-120, 2022 | 1 | 2022 |
| Maelstrom Networks M Evanusa, C Fermüller, Y Aloimonos arXiv preprint arXiv:2408.16632, 2024 | | 2024 |
| Temporal Convolution-Readout for Random Recurrent Neural Networks MS Evanusa US Patent App. 18/381,360, 2024 | | 2024 |
| t-ConvESN: Temporal Convolution-Readout for Random Recurrent Neural Networks MS Evanusa, V Patil, M Girvan, J Goodman, C Fermüller, Y Aloimonos International Conference on Artificial Neural Networks, 140-151, 2023 | | 2023 |
| ProtoVAE: Prototypical Networks for Unsupervised Disentanglement V Patil, M Evanusa, J JaJa arXiv preprint arXiv:2305.09092, 2023 | | 2023 |
| Hybrid Backpropagation Parallel Reservoir Networks M Evanusa, S Shrestha, M Girvan, C Fermüller, Y Aloimonos arXiv preprint arXiv:2010.14611, 2020 | | 2020 |
| Event-based attention and tracking on neuromorphic hardware A Renner, M Evanusa, Y Sandamirskaya Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | | 2019 |
| Learning spatial models for navigation A Aroor, M Evanusa, SL Epstein, S Parsons, E Sklar University of Lincoln, 2015 | | 2015 |
| Spatial abstraction for autonomous robot navigation A Aroor, M Evanusa, SL Epstein, S Parsons, E Sklar University of Lincoln, 2015 | | 2015 |
| In Preparation for Joint Action SL Epstein, M Evanusa, A Aroor | | 2010 |
Cornelia FermullerResearch Scientist, Computer Vision and Human Vision, University of Maryland在 cfar.umd.edu 的電子郵件地址已通過驗證