Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …

In this paper, we propose a conceptually simple but very effective attention module for
Convolutional Neural Networks (ConvNets). In contrast to existing channel-wise and spatial …

We address the problem of determining correspondences between two images in
agreement with a geometric model such as an affine or thin-plate spline transformation, and …

In this work we propose a new CNN+ LSTM architecture for camera pose regression for
indoor and outdoor scenes. CNNs allow us to learn suitable feature representations for …

Accurately determining the position and orientation from which an image was taken, ie,
computing the camera pose, is a fundamental step in many Computer Vision applications …

Abstract Neural Radiance Fields (NeRF) have recently demonstrated photorealistic results
for the task of novel view synthesis. In this paper, we propose to apply novel view synthesis …

We tackle the problem of large scale visual place recognition, where the task is to quickly
and accurately recognize the location of a given query photograph. We present the following …

We address the problem of large-scale visual place recognition for situations where the
scene undergoes a major change in appearance, for example, due to illumination …

This paper poses object category detection in images as a type of 2D-to-3D alignment
problem, utilizing the large quantities of 3D CAD models that have been made publicly …

The objective of this work is to recognize object categories (such as animals and vehicles) in
paintings, whilst learning these categories from natural images. This is a challenging …