1 code implementation • CVPR 2023 • Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt, Federico Tombari
Neural Radiance Field (NeRF) has recently emerged as a powerful representation to synthesize photorealistic novel views.
1 code implementation • 14 Jul 2022 • David Bruggemann, Christos Sakaridis, Prune Truong, Luc van Gool
Due to the scarcity of dense pixel-level semantic annotations for images recorded in adverse visual conditions, there has been a keen interest in unsupervised domain adaptation (UDA) for the semantic segmentation of such images.
Ranked #1 on Semantic Segmentation on Dark Zurich
1 code implementation • CVPR 2022 • Prune Truong, Martin Danelljan, Fisher Yu, Luc van Gool
We propose Probabilistic Warp Consistency, a weakly-supervised learning objective for semantic matching.
1 code implementation • 28 Sep 2021 • Prune Truong, Martin Danelljan, Radu Timofte, Luc van Gool
In order to apply dense methods to real-world applications, such as pose estimation, image manipulation, or 3D reconstruction, it is therefore crucial to estimate the confidence of the predicted matches.
1 code implementation • ICCV 2021 • Prune Truong, Martin Danelljan, Fisher Yu, Luc van Gool
From our observations and empirical results, we design a general unsupervised objective employing two of the derived constraints.
4 code implementations • CVPR 2021 • Prune Truong, Martin Danelljan, Luc van Gool, Radu Timofte
Establishing dense correspondences between a pair of images is an important and general problem.
2 code implementations • NeurIPS 2020 • Prune Truong, Martin Danelljan, Luc van Gool, Radu Timofte
We propose GOCor, a fully differentiable dense matching module, acting as a direct replacement to the feature correlation layer.
Dense Pixel Correspondence Estimation Feature Correlation +2
2 code implementations • CVPR 2020 • Prune Truong, Martin Danelljan, Radu Timofte
Establishing dense correspondences between a pair of images is an important and general problem, covering geometric matching, optical flow and semantic correspondences.
3 code implementations • ICCV 2019 • Prune Truong, Stefanos Apostolopoulos, Agata Mosinska, Samuel Stucky, Carlos Ciller, Sandro De Zanet
We introduce a novel CNN-based feature point detector - GLAMpoints - learned in a semi-supervised manner.
Ranked #4 on Image Registration on FIRE