30 citations · 94 across the 12 of their papers we have counts for
18 papers
Improved Scene Landmark Detection for Camera Localization
Tien Do, Sudipta N. Sinha
Camera localization methods based on retrieval, local feature matching, and 3D structure-based pose estimation are accurate but require high storage, are slow, and are not privacy-…
Optimizing Fiducial Marker Placement for Improved Visual Localization
Qiangqiang Huang, Joseph DeGol, Victor Fragoso +2
Adding fiducial markers to a scene is a well-known strategy for making visual localization algorithms more robust. Traditionally, these marker locations are selected by humans who…
Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation
Ashraful Islam, Ben Lundell, Harpreet Sawhney +3
We present a self-supervised learning (SSL) method suitable for semi-global tasks such as object detection and semantic segmentation. We enforce local consistency between self-lear…
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
Victor Fragoso, Sudipta Sinha
We present gP4Pc, a new method for computing the absolute pose of a generalized camera with unknown internal scale from four corresponding 3D point-and-ray pairs. Unlike most pose-…
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
Mihai Dusmanu, Johannes L. Schönberger, Sudipta N. Sinha +1
Many computer vision systems require users to upload image features to the cloud for processing and storage. These features can be exploited to recover sensitive information about…
Revealing Scenes by Inverting Structure from Motion Reconstructions
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang +1
Many 3D vision systems localize cameras within a scene using 3D point clouds. Such point clouds are often obtained using structure from motion (SfM), after which the images are dis…