activity
20142024
most citedEvolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding

18 citations · 33 across the 15 of their papers we have counts for

collaborators

6 papers

eess.SP20223 cited

AI-Powered Non-Contact In-Home Gait Monitoring and Activity Recognition System Based on mm-Wave FMCW Radar and Cloud Computing

Hajar Abedi, Ahmad Ansariyan, Plinio P Morita +3

In this paper, leveraging AI, cloud computing and radar technology, we create intelligent sensing that enables smarter applications to improve people's daily lives.

cs.CV2022

MetaGraspNet: A Large-Scale Benchmark Dataset for Scene-Aware Ambidextrous Bin Picking via Physics-based Metaverse Synthesis

Maximilian Gilles, Yuhao Chen, Tim Robin Winter +2

Autonomous bin picking poses significant challenges to vision-driven robotic systems given the complexity of the problem, ranging from various sensor modalities, to highly entangle…

cs.CV2021

M2A: Motion Aware Attention for Accurate Video Action Recognition

Brennan Gebotys, Alexander Wong, David A. Clausi

Advancements in attention mechanisms have led to significant performance improvements in a variety of areas in machine learning due to its ability to enable the dynamic modeling of…

cs.LG201618 cited

Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding

Mohammad Javad Shafiee, Alexander Wong

There has been significant recent interest towards achieving highly efficient deep neural network architectures. A promising paradigm for achieving this is the concept of evolution…

q-bio.QM201611 cited

Spatial probabilistic pulsatility model for enhancing photoplethysmographic imaging systems

Robert Amelard, David A Clausi, Alexander Wong

Photolethysmographic imaging (PPGI) is a widefield non-contact biophotonic technology able to remotely monitor cardiovascular function over anatomical areas. Though spatial context…

stat.ME2014

A Bayesian Residual Transform for Signal Processing

Alexander Wong, Xiao Yu Wang

Multi-scale decomposition has been an invaluable tool for the processing of physiological signals. Much focus in multi-scale decomposition for processing such signals have been bas…