6 citations · 14 across the 26 of their papers we have counts for
6 papers · 2 filters
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
Rui Gong, Yuhua Chen, Danda Pani Paudel +5
Open compound domain adaptation (OCDA) is a domain adaptation setting, where target domain is modeled as a compound of multiple unknown homogeneous domains, which brings the advant…
Unsupervised Monocular Depth Reconstruction of Non-Rigid Scenes
Ayça Takmaz, Danda Pani Paudel, Thomas Probst +3
Monocular depth reconstruction of complex and dynamic scenes is a highly challenging problem. While for rigid scenes learning-based methods have been offering promising results eve…
Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +1
Image features for retrieval-based localization must be invariant to dynamic objects (e.g. cars) as well as seasonal and daytime changes. Such invariances are, up to some extent, l…
Self-Calibration Supported Robust Projective Structure-from-Motion
Rui Gong, Danda Pani Paudel, Ajad Chhatkuli +1
Typical Structure-from-Motion (SfM) pipelines rely on finding correspondences across images, recovering the projective structure of the observed scene and upgrading it to a metric…
Geometrically Mappable Image Features
Janine Thoma, Danda Pani Paudel, Ajad Chhatkuli +1
Vision-based localization of an agent in a map is an important problem in robotics and computer vision. In that context, localization by learning matchable image features is gainin…
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets
Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel +3
Automatic discovery of category-specific 3D keypoints from a collection of objects of some category is a challenging problem. One reason is that not all objects in a category neces…