activity
20152026
most citedOn the Performance of ConvNet Features for Place Recognition

134 citations · 725 across the 66 of their papers we have counts for

collaborators
Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023

Segment Beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation

Renjie Wu, Hu Wang, Feras Dayoub +1

Augmented Reality (AR) devices, emerging as prominent mobile interaction platforms, face challenges in user safety, particularly concerning oncoming vehicles. While some solutions…

cs.CV2023★ 1 cited

Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition

Xiangyu Shi, Yanyuan Qiao, Qi Wu +2

Effective object detection in autonomous vehicles is challenged by deployment in diverse and unfamiliar environments. Online Source-Free Domain Adaptation (O-SFDA) offers model ada…

cs.CV2023★ 2 cited

Federated Neural Radiance Fields

Lachlan Holden, Feras Dayoub, David Harvey +1

The ability of neural radiance fields or NeRFs to conduct accurate 3D modelling has motivated application of the technique to scene representation. Previous approaches have mainly…

cs.CV2023★ 2 cited

Addressing the Challenges of Open-World Object Detection

David Pershouse, Feras Dayoub, Dimity Miller +1

We address the challenging problem of open world object detection (OWOD), where object detectors must identify objects from known classes while also identifying and continually lea…

cs.CV2023★ 10 cited

Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection

Nicolas Harvey Chapman, Feras Dayoub, Will Browne +1

Unsupervised Domain Adaptive Object Detection (UDA-OD) uses unlabelled data to improve the reliability of robotic vision systems in open-world environments. Previous approaches to…