1 code implementation • ICCV 2019 • Gil Avraham, Yan Zuo, Thanuja Dharmasiri, Tom Drummond
Continuously estimating an agent's state space and a representation of its surroundings has proven vital towards full autonomy.
1 code implementation • 20 Feb 2019 • Sourav Garg, Madhu Babu V, Thanuja Dharmasiri, Stephen Hausler, Niko Suenderhauf, Swagat Kumar, Tom Drummond, Michael Milford
Visual place recognition (VPR) - the act of recognizing a familiar visual place - becomes difficult when there is extreme environmental appearance change or viewpoint change.
3 code implementations • 13 Sep 2018 • Vladimir Nekrasov, Thanuja Dharmasiri, Andrew Spek, Tom Drummond, Chunhua Shen, Ian Reid
Deployment of deep learning models in robotics as sensory information extractors can be a daunting task to handle, even using generic GPU cards.
Ranked #5 on Real-Time Semantic Segmentation on NYU Depth v2
no code implementations • 24 Jul 2018 • Andrew Spek, Thanuja Dharmasiri, Tom Drummond
At the time of writing, this is the first piece of work to showcase such a capability on a mobile platform.
no code implementations • 16 Jul 2018 • Thanuja Dharmasiri, Andrew Spek, Tom Drummond
Recovering structure and motion parameters given a image pair or a sequence of images is a well studied problem in computer vision.
no code implementations • 11 May 2018 • Chamara Saroj Weerasekera, Thanuja Dharmasiri, Ravi Garg, Tom Drummond, Ian Reid
Crucially, we obtain the confidence weights that parameterize the CRF model in a data-dependent manner via Convolutional Neural Networks (CNNs) which are trained to model the conditional depth error distributions given each source of input depth map and the associated RGB image.
no code implementations • 23 Jun 2017 • Thanuja Dharmasiri, Andrew Spek, Tom Drummond
To this end, we present a novel deep learning based framework that estimates depth, surface normals and surface curvature by only using a single RGB image.