Modeling Neural Radiance Fields for fast-moving deformable objects from
...
The essence of video semantic segmentation (VSS) is how to leverage temp...
Neural implicit fields have recently been shown to represent 3D shapes
a...
Boundaries are among the primary visual cues used by human and computer
...
The design of more complex and powerful neural network models has
signif...
Traditional domain adaptation addresses the task of adapting a model to ...
We tackle the low-efficiency flaw of vision transformer caused by the hi...
Generative adversarial networks (GANs) have shown impressive results in ...
Monocular depth reconstruction of complex and dynamic scenes is a highly...
Open compound domain adaptation (OCDA) is a domain adaptation setting, w...
Image features for retrieval-based localization must be invariant to dyn...
Typical Structure-from-Motion (SfM) pipelines rely on finding correspond...
Vision-based localization of an agent in a map is an important problem i...
Automatic discovery of category-specific 3D keypoints from a collection ...
In this paper, we formulate a generic non-minimal solver using the exist...
Building on progress in feature representations for image retrieval,
ima...
The perspective camera and the isometric surface prior have recently gat...
Many computer vision methods rely on consensus maximization to relate
me...
Computer vision and robotics are being increasingly applied in medical
i...