activity
20172022
most citedDeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

962 citations · 1k across the 10 of their papers we have counts for

collaborators

13 papers

cs.LG20226 cited

BLOX: Macro Neural Architecture Search Benchmark and Algorithms

Thomas Chun Pong Chau, Łukasz Dudziak, Hongkai Wen +2

Neural architecture search (NAS) has been successfully used to design numerous high-performance neural networks. However, NAS is typically compute-intensive, so most existing appro…

cs.CV20221 cited

High Speed Rotation Estimation with Dynamic Vision Sensors

Guangrong Zhao, Yiran Shen, Ning Chen +3

Rotational speed is one of the important metrics to be measured for calibrating the electric motors in manufacturing, monitoring engine during car repairing, faults detection on el…

cs.LG20221 cited

GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy

Teddy Cunningham, Konstantin Klemmer, Hongkai Wen +1

Synthetic data generation is a fundamental task for many data management and data science applications. Spatial data is of particular interest, and its sensitive nature often leads…

cs.AI20211 cited

Deployment Optimization for Shared e-Mobility Systems with Multi-agent Deep Neural Search

Man Luo, Bowen Du, Konstantin Klemmer +2

Shared e-mobility services have been widely tested and piloted in cities across the globe, and already woven into the fabric of modern urban planning. This paper studies a practica…

eess.IV20211 cited

Temporal Kernel Consistency for Blind Video Super-Resolution

Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah +2

Deep learning-based blind super-resolution (SR) methods have recently achieved unprecedented performance in upscaling frames with unknown degradation. These models are able to accu…

eess.IV2020

Journey Towards Tiny Perceptual Super-Resolution

Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah +4

Recent works in single-image perceptual super-resolution (SR) have demonstrated unprecedented performance in generating realistic textures by means of deep convolutional networks.…