Publications

(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)

(2020). Implicit Neural Representations with Periodic Activation Functions. arXiv preprint arXiv:2006.09661.

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

(2020). Event Based, Near Eye Gaze Tracking Beyond 10,000 Hz. arXiv preprint arXiv:2004.03577.

PDF Paper (publisher) Dataset

(2018). Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. arXiv e-prints.

(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

(2018). Live Demonstration: An Active System for Depth Reconstruction using Event-Based Sensors. Circuits and Systems (ISCAS), 2018 IEEE International Symposium on.

(2018). Kernelized Synaptic Weight Matrices. International Conference in Machine Learning, ICML’18.

(2018). An Active Approach to Solving the Stereo Matching Problem using Event-Based Sensors. Circuits and Systems (ISCAS), 2018 IEEE International Symposium on.

(2017). Real-Time Depth From Focus on a Programmable Focal Plane Processor. IEEE Transactions on Circuits and Systems I: Regular Papers.

(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).

(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.

(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.

(2017). Color temporal contrast sensitivity in dynamic vision sensors. Circuits and Systems (ISCAS), 2017 IEEE International Symposium on.

(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.

(2016). Parallel High Dynamic Range Imaging and Tone Mapping, EP-16170546.

(2016). Parallel hdr tone mapping and auto-focus on a cellular processor array vision chip. Circuits and Systems (ISCAS), 2016 IEEE International Symposium on.

(2016). Efficient convolutional neural networks for pixelwise classification on heterogeneous hardware systems. Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on.

(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.

(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). A Demonstration of Tracking using Dynamic Neural Fields on a Programmable Vision Chip. Proceedings of the 10th International Conference on Distributed Smart Camera.

(2015). Toward joint approximate inference of visual quantities on cellular processor arrays. Circuits and Systems (ISCAS), 2015 IEEE International Symposium on.

(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.

(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).

(2014). Candidate sampling for neuron reconstruction from anisotropic electron microscopy volumes. International Conference on Medical Image Computing and Computer-Assisted Intervention.

(2013). Segmented anisotropic ssTEM dataset of neural tissue. Retrieved.

(2013). A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification. International Conference on Artificial Neural Networks.