collaborators

5 papers

cs.CV2024

ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting

Michael A. Hobley, Victor A. Prisacariu

Class-agnostic counting methods enumerate objects of an arbitrary class, providing tremendous utility in many fields. Prior works have limited usefulness as they require either a s…

cs.CV2024

Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences

Axel Barroso-Laguna, Sowmya Munukutla, Victor Adrian Prisacariu +1

Given two images, we can estimate the relative camera pose between them by establishing image-to-image correspondences. Usually, correspondences are 2D-to-2D and the pose we estima…

cs.CV2024

PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction

Jia-Wang Bian, Wenjing Bian, Victor Adrian Prisacariu +1

Neural surface reconstruction is sensitive to the camera pose noise, even if state-of-the-art pose estimators like COLMAP or ARKit are used. More importantly, existing Pose-NeRF jo…

cs.CV2024

Neural Refinement for Absolute Pose Regression with Feature Synthesis

Shuai Chen, Yash Bhalgat, Xinghui Li +4

Absolute Pose Regression (APR) methods use deep neural networks to directly regress camera poses from RGB images. However, the predominant APR architectures only rely on 2D operati…

eess.IV2024

Semi-weakly-supervised neural network training for medical image registration

Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo +11

For training registration networks, weak supervision from segmented corresponding regions-of-interest (ROIs) have been proven effective for (a) supplementing unsupervised methods,…