activity
20172025
most citedMDN-VO: Estimating Visual Odometry with Confidence

11 citations · 32 across the 23 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.LG2022★ 1 cited

G-CMP: Graph-enhanced Contextual Matrix Profile for unsupervised anomaly detection in sensor-based remote health monitoring

Nivedita Bijlani, Oscar Mendez Maldonado, Samaneh Kouchaki

Sensor-based remote health monitoring is used in industrial, urban and healthcare settings to monitor ongoing operation of equipment and human health. An important aim is to interv…

cs.CV2022

AFT-VO: Asynchronous Fusion Transformers for Multi-View Visual Odometry Estimation

Nimet Kaygusuz, Oscar Mendez, Richard Bowden

Motion estimation approaches typically employ sensor fusion techniques, such as the Kalman Filter, to handle individual sensor failures. More recently, deep learning-based fusion a…

cs.LG2022★ 1 cited

Generalizing to New Tasks via One-Shot Compositional Subgoals

Xihan Bian, Oscar Mendez, Simon Hadfield

The ability to generalize to previously unseen tasks with little to no supervision is a key challenge in modern machine learning research. It is also a cornerstone of a future "Gen…

cs.LG2022

SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning

Bian Xihan, Oscar Mendez, Simon Hadfield

In this work, we introduce a new perspective for learning transferable content in multi-task imitation learning. Humans are able to transfer skills and knowledge. If we can cycle t…

cs.CV2022

"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping

Avishkar Saha, Oscar Mendez, Chris Russell +1

Estimating a semantically segmented bird's-eye-view (BEV) map from a single image has become a popular technique for autonomous control and navigation. However, they show an increa…