Publications

julien np martel, lorenz mueller, stephen j carey, piotr dudek, gordon wetzstein (2020). Neural Sensors: Learning Pixel Exposures for HDR Imaging and Video Compressive Sensing with Programmable Sensors. IEEE Transactions on Pattern Analysis and Machine Intelligence.

PDF Paper (publisher)

vincent sitzmann, julien np martel, alexander w bergman, david b lindell, gordon wetzstein (2020). Implicit Neural Representations with Periodic Activation Functions. arXiv preprint arXiv:2006.09661.

PDF Paper (publisher) Code Repository Colab Notebook Tensorflow Playground Data

anastasios n angelopoulos, julien np martel, amit ps kohli, jorg conradt, gordon wetzstein (2020). Event Based, Near Eye Gaze Tracking Beyond 10,000 Hz. arXiv preprint arXiv:2004.03577.

PDF Paper (publisher) Dataset

sebastian glatz, julien n.~p. martel, raphaela kreiser, ning qiao, yulia sandamirskaya (2018). Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. arXiv e-prints.

r. kreiser, m. cartiglia, j. n. p. martel, j. conradt, y. sandamirskaya (2018). A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset. 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

DOI

julien n. p. martel, jonathan müller, jörg conradt, yulia sandamirskaya (2018). Live Demonstration: An Active System for Depth Reconstruction using Event-Based Sensors. Circuits and Systems (ISCAS), 2018 IEEE International Symposium on.

lorenz k. muller, julien n. p. martel, giacomo indiveri (2018). Kernelized Synaptic Weight Matrices. International Conference in Machine Learning, ICML’18.

julien n. p. martel, jonathan müller, jörg conradt, yulia sandamirskaya (2018). An Active Approach to Solving the Stereo Matching Problem using Event-Based Sensors. Circuits and Systems (ISCAS), 2018 IEEE International Symposium on.

julien n. p. martel, lorenz k müller, stephen j carey, jonathan müller, yulia sandamirskaya, piotr dudek (2017). Real-Time Depth From Focus on a Programmable Focal Plane Processor. IEEE Transactions on Circuits and Systems I: Regular Papers.

julien n. p. martel, david lobato, yulia sandamirskaya (2017). Neural Dynamic Architecture for Action Parsing using SCAMP.. IEEE/RSJ Internat. Conf. on Intelligent Robots and Systems, IROS’15, workshop on Semantic Parsing for Action Recognition (SPAR).

julien n. p. martel, lorenz k müller, stephen j carey, jonathan müller, yulia sandamirskaya, piotr dudek (2017). Live demonstration: Depth from focus on a focal plane processor using a focus tunable liquid lens. Circuits and Systems (ISCAS), 2017 IEEE International Symposium on.

julien n. p. martel, lorenz k müller, stephen j carey, piotr dudek (2017). High-speed depth from focus on a programmable vision chip using a focus tunable lens. Circuits and Systems (ISCAS), 2017 IEEE International Symposium on.

diederik paul moeys, chenghan li, julien n. p. martel, simeon bamford, luca longinotti, vasyl motsnyi, david san segundo bello, tobi delbruck (2017). Color temporal contrast sensitivity in dynamic vision sensors. Circuits and Systems (ISCAS), 2017 IEEE International Symposium on.

julien n. p. martel, piotr dudek (2016). 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.

julien n. p. martel, lorenz k. muller (2016). Parallel High Dynamic Range Imaging and Tone Mapping, EP-16170546.

julien n. p. martel, lorenz k müller, stephen j carey, piotr dudek (2016). Parallel hdr tone mapping and auto-focus on a cellular processor array vision chip. Circuits and Systems (ISCAS), 2016 IEEE International Symposium on.

fabian tschopp, julien n. p. martel, srinivas c turaga, matthew cook, jan funke (2016). Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems. Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on.

julien n. p. martel, lorenz k müller, stephen j carey, piotr dudek (2016). A real-time high dynamic range vision system with tone mapping for automotive applications. CNNA 2016; 15th International Workshop on Cellular Nanoscale Networks and their Applications; Proceedings of.

julien n. p. martel, yulia sandamirskaya (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.

julien n. p. martel, yulia sandamirskaya, piotr dudek (2016). A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip. Proceedings of the 10th International Conference on Distributed Smart Camera.

julien n. p. martel, miguel chau, piotr dudek, matthew cook (2015). Toward joint approximate inference of visual quantities on cellular processor arrays. Circuits and Systems (ISCAS), 2015 IEEE International Symposium on.

julien n. p. martel, miguel chau, matthew cook, piotr dudek (2015). Pixel interlacing to trade off the resolution of a cellular processor array against more registers. Circuit Theory and Design (ECCTD), 2015 European Conference on.

julien n. p. martel, matthew cook (2015). A Framework of Relational Networks to Build Systems with Sensors able to Perform the Joint Approximate Inference of Quantities.. IEEE/RSJ Internat. Conf. on Intelligent Robots and Systems, IROS’15, workshop on Unconventional Computing for Bayesian Inference (UCBI).

jan funke, julien n. p. martel, stephan gerhard, bjoern andres, dan c cireşan, alessandro giusti, luca m gambardella, jürgen schmidhuber, hanspeter pfister, albert cardona, others (2014). Candidate sampling for neuron reconstruction from anisotropic electron microscopy volumes. International Conference on Medical Image Computing and Computer-Assisted Intervention.

stephan gerhard, jan funke, julien n. p. martel, albert cardona, richard fetter (2013). Segmented anisotropic ssTEM dataset of neural tissue. Retrieved.

julien n. p. martel, toru nakashika, christophe garcia, khalid idrissi (2013). A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification. International Conference on Artificial Neural Networks.