A map of object space in primate inferotemporal cortex P Bao, L She, M McGill, DY Tsao Nature 583 (7814), 103-108, 2020 | 255 | 2020 |
Deciding how to decide: Dynamic routing in artificial neural networks M McGill, P Perona International Conference on Machine Learning, 2363-2372, 2017 | 123 | 2017 |
A systematic comparison between visual cues for boundary detection DA Mély, J Kim, M McGill, Y Guo, T Serre Vision research 120, 93-107, 2016 | 120 | 2016 |
Connectome-constrained deep mechanistic networks predict neural responses across the fly visual system at single-neuron resolution JK Lappalainen, FD Tschopp, S Prakhya, M McGill, A Nern, K Shinomiya, ... bioRxiv, 2023.03. 11.532232, 2023 | 19 | 2023 |
Connectome-constrained deep mechanistic networks predict neural responses across the fly visual system at single-neuron resolution JH Macke, SC Turaga, E Gruntman, S Takemura, K Shinomiya, A Nern, ... bio Rxiv, 2023 | | 2023 |
HMM-guided frame querying for bandwidth-constrained video search B Chidambaram, M McGill, P Perona arXiv preprint arXiv:2001.00057, 2019 | | 2019 |
Change detection and visual classification: two sides of the same coin B Chen, M Jiang, M McGill, Q Zhao, P Perona Journal of Vision 16 (12), 593-593, 2016 | | 2016 |
Visual cue diagnosticity for boundary detection in natural scenes: A computational study DA Mély, J Kim, M McGill, Y Guo, T Serre Journal of Vision 14 (10), 889-889, 2014 | | 2014 |