Julien Martel

Position:
PhD Student
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I graduated from the Institut National des Sciences Appliquees de Lyon (INSA, Lyon) in 2012 with a "Diplome d'Ingenieur" in telecommunications. As an exchange student with the Nanyang Technological University in 2010/2011 (NTU, Singapore), I got first interested in image processing and computer vision and then obtained another Master by Research in Computer Vision and Graphics offered jointly by Ecole Normale Superieure (ENS), Ecole Centrale (ECL) and INSA in 2012. Finally, before starting my doctoral program I studied one more year in the Visual Computing program in Computer sciences at ETH-Zurich.
Since 2013 I am working as a Ph.D student in the Cortical Computation group led by Matthew Cook on a project designing an alternative approach to "traditional" computer vision. The framework we propose is based on the joint inference and estimation of visual quantities like optic flow, gradient, ego-motion, depth etc. You can refer to my project section for more details.

Publications

2017

  • Julien N.P. Martel, Piotr Dudek Vision Chips with in-pixel processors for High-performance Low Power Embedded Vision Systems, International Symposium on Code Generation and Optimization (CGO), Workshop ASR-MOV, 2017 visionchips.pdf
  • Moeys, D., Li, C., Martel, J., Bamford, S., Longinotti, L., Motsnyi, V., Bello, D., Delbruck, T. Color Temporal Contrast Sensitivity in Dynamic Vision Sensors, IEEE Int. Symposium on Circuit and Systems (ISCAS), 2017 pdf

2016

2015

  • Martel, Julien and Chau, Miguel and Cook, Matthew and Dudek, Piotr Pixel Interlacing to Trade Off the Resolution of a Cellular Processor Array Against More Registers, European Conference on Circuit Theory and Design, ECCTD 2015, 2015
  • Martel, Julien and Chau, Miguel and Dudek, Piotr and Cook, Matthew Toward Joint Approximate Inference of Visual Quantities on Cellular Processor Arrays, IEEE International Symposium on Circuits and Systems, ISCAS 2015, 2015
  • Martel, Julien and Cook, Matthew A Framework of Relational Networks to Build Systems with Sensors able to Perform the Joint Approximate Inference of Quantities, IEEE/RSJ International Conference on Intelligent Robots and Systems, Workshop on Unconventional Computing for Bayesian Inference, IROS 2015, 2015

2014

  • Funke, Jan and Martel, Julien and Gerhard, Stephan and Ciresan, Björn Andres Dan C. and Giusti, Alessandro and Gambardella, Luca and Pfister, Jürgen Schmidhuber Hanspeter and Cardona, Albert and Cook, Matthew Candidate Sampling for Neuron Reconstruction from Anisotropic Electron Microscopy Volumes, MICCAI 2014, Medical Image Computing and Computer Assisted Intervention, (proceedings are in Lecture Notes in Computer Science), 8673: 17-24, 2014

2013

© 2017 Institut für Neuroinformatik