Previous methods solve feature matching and pose estimation using a two-stage process by
first finding matches and then estimating the pose. As they ignore the geometric …

LiDAR-Camera fusion-based 3D object detection is one of the main visual perception tasks
in autonomous driving, facing the challenges of small targets and occlusions. Image …

Local feature detection and description play an important role in many computer vision
tasks, which are designed to detect and describe keypoints in" any scene" and" any …

The image matching field has been witnessing a continuous emergence of novel learnable
feature matching techniques with ever-improving performance on conventional benchmarks …

Local feature matching involves establishing accurate pixel-wise correspondences between
an image pair, which is a critical component in several visual applications (eg, visual …

Local feature matching enjoys wide-ranging applications in the realm of computer vision,
encompassing domains such as image retrieval, 3D reconstruction, and object recognition …

This study addresses the challenge of performing visual localization in demanding
conditions such as night-time scenarios adverse weather and seasonal changes. While …

Spatial localization of 3D sound sources is an important problem in many real world
scenarios, especially when the sources may not have any visually distinguishable …

Visual relocalization is a key technique to autonomous driving, robotics, and
virtual/augmented reality. After decades of explorations, absolute pose regression (APR) …

Rescaling the backpropagated gradient of contrastive loss has made significant progress in
descriptor learning. However, current gradient modulation strategies have no regard for the …