research
∙
07/04/2022
VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM
Event cameras have recently gained in popularity as they hold strong pot...
share
research
∙
06/10/2022
Globally-Optimal Contrast Maximisation for Event Cameras
Event cameras are bio-inspired sensors that perform well in challenging ...
research
∙
03/08/2022
Globally-Optimal Event Camera Motion Estimation
Event cameras are bio-inspired sensors that perform well in HDR conditio...
research
∙
03/01/2022
FP-Loc: Lightweight and Drift-free Floor Plan-assisted LiDAR Localization
We present a novel framework for floor plan-based, full six degree-of-fr...
research
∙
03/01/2022
Efficient Globally-Optimal Correspondence-Less Visual Odometry for Planar Ground Vehicles
The motion of planar ground vehicles is often non-holonomic, and as a re...
research
∙
02/26/2022
Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Contrastive learning is emerging as a powerful technique for extracting ...
research
∙
10/20/2021
ESOD:Edge-based Task Scheduling for Object Detection
Object Detection on the mobile system is a challenge in terms of everyth...
research
∙
04/12/2021
Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
Pre-trained language models such as BERT have become a more common choic...
research
∙
05/02/2020
Smart, Adaptive Energy Optimization for Mobile Web Interactions
Web technology underpins many interactive mobile applications. However, ...
research
∙
06/20/2019
Using Machine Learning to Optimize Web Interactions on Heterogeneous Mobile Multi-cores
The web has become a ubiquitous application development platform for mob...
research
∙
10/21/2018
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference
The recent advances in deep neural networks (DNNs) make them attractive ...
research
∙
10/09/2017
