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ORCIDJulien N. P. Martel
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2020 – today
- 2023
[i13]Bongjin Koo, Julien N. P. Martel, Ariana Peck, Axel Levy, Frédéric Poitevin, Nina Miolane:
Reconstructing Heterogeneous Cryo-EM Molecular Structures by Decomposing Them into Polymer Chains. CoRR abs/2306.07274 (2023)- 2022
- [c23]Axel Levy
, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein:
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. ECCV (21) 2022: 540-557 - [c22]Cindy M. Nguyen, Julien N. P. Martel, Gordon Wetzstein:
Learning Spatially Varying Pixel Exposures for Motion Deblurring. ICCP 2022: 1-11 - [c21]Haley M. So, Julien N. P. Martel, Gordon Wetzstein, Piotr Dudek:
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding. ICCP 2022: 1-12 - [c20]Axel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong:
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM. NeurIPS 2022 - [i12]Axel Levy, Frédéric Poitevin, Julien N. P. Martel, Youssef S. G. Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein:
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images. CoRR abs/2203.08138 (2022) - [i11]Cindy M. Nguyen, Julien N. P. Martel, Gordon Wetzstein:
Learning Spatially Varying Pixel Exposures for Motion Deblurring. CoRR abs/2204.07267 (2022) - [i10]Youssef S. G. Nashed, Ariana Peck, Julien N. P. Martel, Axel Levy, Bongjin Koo, Gordon Wetzstein, Nina Miolane, Daniel Ratner, Frédéric Poitevin:
Heterogeneous reconstruction of deformable atomic models in Cryo-EM. CoRR abs/2209.15121 (2022) - [i9]Axel Levy, Gordon Wetzstein, Julien N. P. Martel, Frédéric Poitevin, Ellen D. Zhong:
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM. CoRR abs/2210.07387 (2022) - 2021
- [j5]Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein:
Acorn: adaptive coordinate networks for neural scene representation. ACM Trans. Graph. 40(4): 58:1-58:13 (2021) - [j4]Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event-Based Near-Eye Gaze Tracking Beyond 10, 000 Hz. IEEE Trans. Vis. Comput. Graph. 27(5): 2577-2586 (2021) - [c19]David B. Lindell, Julien N. P. Martel, Gordon Wetzstein:
AutoInt: Automatic Integration for Fast Neural Volume Rendering. CVPR 2021: 14556-14565 - [c18]Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello:
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems. ICCV 2021: 2672-2682 - [i8]Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello:
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems. CoRR abs/2104.02820 (2021) - [i7]Julien N. P. Martel, David B. Lindell, Connor Z. Lin, Eric R. Chan, Marco Monteiro, Gordon Wetzstein:
ACORN: Adaptive Coordinate Networks for Neural Scene Representation. CoRR abs/2105.02788 (2021) - [i6]Haley M. So, Julien N. P. Martel, Piotr Dudek, Gordon Wetzstein:
MantissaCam: Learning Snapshot High-dynamic-range Imaging with Perceptually-based In-pixel Irradiance Encoding. CoRR abs/2112.05221 (2021) - 2020
- [j3]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek, Gordon Wetzstein:
Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing With Programmable Sensors. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1642-1653 (2020) - [c17]Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein:
Implicit Neural Representations with Periodic Activation Functions. NeurIPS 2020 - [i5]Thanuja D. Ambegoda, Julien N. P. Martel, Jozef Adamcik, Matthew Cook, Richard H. R. Hahnloser:
Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processes. CoRR abs/2002.00228 (2020) - [i4]Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event Based, Near Eye Gaze Tracking Beyond 10, 000Hz. CoRR abs/2004.03577 (2020) - [i3]Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein:
Implicit Neural Representations with Periodic Activation Functions. CoRR abs/2006.09661 (2020) - [i2]David B. Lindell, Julien N. P. Martel, Gordon Wetzstein:
AutoInt: Automatic Integration for Fast Neural Volume Rendering. CoRR abs/2012.01714 (2020)
2010 – 2019
- 2019
- [c16]Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya:
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. ICRA 2019: 9631-9637 - 2018
- [j2]Peter U. Diehl, Julien N. P. Martel, Jakob Buhmann, Matthew Cook:
Factorized Computation: What the Neocortex Can Tell Us About the Future of Computing. Frontiers Comput. Neurosci. 12: 54 (2018) - [j1]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Jonathan Müller, Yulia Sandamirskaya, Piotr Dudek:
Real-Time Depth From Focus on a Programmable Focal Plane Processor. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(3): 925-934 (2018) - [c15]Lorenz K. Müller, Julien N. P. Martel, Giacomo Indiveri:
Kernelized Synaptic Weight Matrices. ICML 2018: 3651-3660 - [c14]Raphaela Kreiser, Matteo Cartiglia, Julien N. P. Martel, Jörg Conradt, Yulia Sandamirskaya:
A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset. ISCAS 2018: 1-5 - [c13]Julien N. P. Martel, Jonathan Müller, Jörg Conradt, Yulia Sandamirskaya:
An Active Approach to Solving the Stereo Matching Problem using Event-Based Sensors. ISCAS 2018: 1-5 - [c12]Julien N. P. Martel, Jonathan Müller, Jörg Conradt, Yulia Sandamirskaya:
Live Demonstration: An Active System for Depth Reconstruction using Event-Based Sensors. ISCAS 2018: 1- - [i1]Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya:
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. CoRR abs/1810.10801 (2018) - 2017
- [c11]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek:
High-speed depth from focus on a programmable vision chip using a focus tunable lens. ISCAS 2017: 1-4 - [c10]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Jonathan Müller, Yulia Sandamirskaya, Piotr Dudek:
Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens. ISCAS 2017: 1 - [c9]Diederik Paul Moeys, Cheng-Han Li, Julien N. P. Martel, Simeon A. Bamford, Luca Longinotti, Vasyl Motsnyi, David San Segundo Bello, Tobi Delbrück:
Color temporal contrast sensitivity in dynamic vision sensors. ISCAS 2017: 1-4 - 2016
- [c8]Julien N. P. Martel, Yulia Sandamirskaya:
A Neuromorphic Approach for Tracking using Dynamic Neural Fields on a Programmable Vision-chip. ICDSC 2016: 148-154 - [c7]Julien N. P. Martel, Yulia Sandamirskaya, Piotr Dudek:
A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip: Demo. ICDSC 2016: 212-213 - [c6]Fabian Tschopp, Julien N. P. Martel, Srinivas C. Turaga, Matthew Cook, Jan Funke:
Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems. ISBI 2016: 1225-1228 - [c5]Julien N. P. Martel, Lorenz K. Müller, Stephen J. Carey, Piotr Dudek:
Parallel HDR tone mapping and auto-focus on a cellular processor array vision chip. ISCAS 2016: 1430-1433 - 2015
- [c4]Julien N. P. Martel, Miguel Chau, Matthew Cook, Piotr Dudek:
Pixel interlacing to trade off the resolution of a cellular processor array against more registers. ECCTD 2015: 1-4 - [c3]Julien N. P. Martel, Miguel Chau, Piotr Dudek, Matthew Cook:
Toward joint approximate inference of visual quantities on cellular processor arrays. ISCAS 2015: 2061-2064 - 2014
- [c2]Jan Funke, Julien N. P. Martel, Stephan Gerhard, Björn Andres, Dan C. Ciresan, Alessandro Giusti, Luca Maria Gambardella, Jürgen Schmidhuber, Hanspeter Pfister, Albert Cardona, Matthew Cook:
Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes. MICCAI (1) 2014: 17-24 - 2013
- [c1]Julien N. P. Martel, Toru Nakashika, Christophe Garcia, Khalid Idrissi:
A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification. ICANN 2013: 397-404
Coauthor Index
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