no code implementations • 19 Feb 2024 • Markus Hiller, Krista A. Ehinger, Tom Drummond
We present a novel bi-directional Transformer architecture (BiXT) which scales linearly with input size in terms of computational cost and memory consumption, but does not suffer the drop in performance or limitation to only one input modality seen with other efficient Transformer-based approaches.
1 code implementation • 15 Jun 2022 • Markus Hiller, Rongkai Ma, Mehrtash Harandi, Tom Drummond
Single image-level annotations only correctly describe an often small subset of an image's content, particularly when complex real-world scenes are depicted.
no code implementations • 15 Jun 2022 • Markus Hiller, Mehrtash Harandi, Tom Drummond
Inspired by the concept of preconditioning, we propose a novel method to increase adaptation speed for gradient-based meta-learning methods without incurring extra parameters.
1 code implementation • 27 Mar 2021 • Tianyu Zhu, Markus Hiller, Mahsa Ehsanpour, Rongkai Ma, Tom Drummond, Ian Reid, Hamid Rezatofighi
Tracking a time-varying indefinite number of objects in a video sequence over time remains a challenge despite recent advances in the field.
1 code implementation • 10 Jan 2020 • Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke
Today's mobile robots are expected to operate in complex environments they share with humans.