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All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …
have created various computer-mediated virtual environments, including social networks …
A review of multimodal image matching: Methods and applications
X Jiang, J Ma, G **: A survey on visual loop closure detection
KA Tsintotas, L Bampis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
D2-net: A trainable cnn for joint detection and description of local features
In this work we address the problem of finding reliable pixel-level correspondences under
difficult imaging conditions. We propose an approach where a single convolutional neural …
difficult imaging conditions. We propose an approach where a single convolutional neural …
The apolloscape dataset for autonomous driving
Scene parsing aims to assign a class (semantic) label for each pixel in an image. It is a
comprehensive analysis of an image. Given the rise of autonomous driving, pixel-accurate …
comprehensive analysis of an image. Given the rise of autonomous driving, pixel-accurate …
Unsupervised point cloud pre-training via occlusion completion
We describe a simple pre-training approach for point clouds. It works in three steps: 1. Mask
all points occluded in a camera view; 2. Learn an encoder-decoder model to reconstruct the …
all points occluded in a camera view; 2. Learn an encoder-decoder model to reconstruct the …
Understanding the limitations of cnn-based absolute camera pose regression
Visual localization is the task of accurate camera pose estimation in a known scene. It is a
key problem in computer vision and robotics, with applications including self-driving cars …
key problem in computer vision and robotics, with applications including self-driving cars …