214 citations · 937 across the 83 of their papers we have counts for
84 papers
Hybrid Event-Frame Neural Spike Detector for Neuromorphic Implantable BMI
Vivek Mohan, Wee Peng Tay, Arindam Basu
This work introduces two novel neural spike detection schemes intended for use in next-generation neuromorphic brain-machine interfaces (iBMIs). The first, an Event-based Spike Det…
Towards Neuromorphic Compression based Neural Sensing for Next-Generation Wireless Implantable Brain Machine Interface
Vivek Mohan, Wee Peng Tay, Arindam Basu
This work introduces a neuromorphic compression based neural sensing architecture with address-event representation inspired readout protocol for massively parallel, next-gen wirel…
Image Patch-Matching with Graph-Based Learning in Street Scenes
Rui She, Qiyu Kang, Sijie Wang +4
Matching landmark patches from a real-time image captured by an on-vehicle camera with landmark patches in an image database plays an important role in various computer perception…
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments
Rui She, Qiyu Kang, Sijie Wang +4
For autonomous vehicles (AVs), visual perception techniques based on sensors like cameras play crucial roles in information acquisition and processing. In various computer percepti…
Graph Neural Networks with a Distribution of Parametrized Graphs
See Hian Lee, Feng Ji, Kelin Xia +1
Traditionally, graph neural networks have been trained using a single observed graph. However, the observed graph represents only one possible realization. In many applications, th…
A sampling construction of graphon 1-norm convergence
Xingchao Jian, Feng Ji, Wee Peng Tay
In the short note, we describe a sampling construction that yields a sequence of graphons converging to a prescribed limit graphon in 1-norm. This convergence is stronger than the…