activity
20142022
most citedPhased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

211 citations · 298 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2024

Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input

Joachim Ott, Zuowen Wang, Shih-Chii Liu

Event cameras are advantageous for tasks that require vision sensors with low-latency and sparse output responses. However, the development of deep network algorithms using event c…

cs.CV2024

Event-Based Eye Tracking. AIS 2024 Challenge Survey

Zuowen Wang, Chang Gao, Zongwei Wu +36

This survey reviews the AIS 2024 Event-Based Eye Tracking (EET) Challenge. The task of the challenge focuses on processing eye movement recorded with event cameras and predicting t…

cs.AR202245 cited

A 23 W Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction

Kwantae Kim, Chang Gao, Rui Graça +4

This article presents the first keyword spotting (KWS) IC which uses a ring-oscillator-based time-domain processing technique for its analog feature extractor (FEx). Its extensive…

cs.NE201642 cited

Delta Networks for Optimized Recurrent Network Computation

Daniel Neil, Jun Haeng Lee, Tobi Delbruck +1

Many neural networks exhibit stability in their activation patterns over time in response to inputs from sensors operating under real-world conditions. By capitalizing on this prop…

cs.LG2016211 cited

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

Daniel Neil, Michael Pfeiffer, Shih-Chii Liu

Recurrent Neural Networks (RNNs) have become the state-of-the-art choice for extracting patterns from temporal sequences. However, current RNN models are ill-suited to process irre…

cs.NE2014

Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites

Shaista Hussain, Shih-Chii Liu, Arindam Basu

This paper presents a spike-based model which employs neurons with functionally distinct dendritic compartments for classifying high dimensional binary patterns. The synaptic input…