Julien N. P. Martel
Orcid: 0000-0002-4928-5487
According to our database1,
Julien N. P. Martel
authored at least 32 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Reconstructing Heterogeneous Cryo-EM Molecular Structures by Decomposing Them into Polymer Chains.
CoRR, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding.
Proceedings of the IEEE International Conference on Computational Photography, 2022
Proceedings of the IEEE International Conference on Computational Photography, 2022
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
ACM Trans. Graph., 2021
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor.
Proceedings of the International Conference on Robotics and Automation, 2019
2018
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing.
Frontiers Comput. Neurosci., 2018
Live Demonstration: An Active System for Depth Reconstruction using Event-Based Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
High-speed depth from focus on a programmable vision chip using a focus tunable lens.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
2016
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016
Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip: Demo.
Proceedings of the 10th International Conference on Distributed Smart Camera, 2016
A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip.
Proceedings of the 10th International Conference on Distributed Smart Camera, 2016
2015
Toward joint approximate inference of visual quantities on cellular processor arrays.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Pixel interlacing to trade off the resolution of a cellular processor array against more registers.
Proceedings of the European Conference on Circuit Theory and Design, 2015
2014
Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013