3 citations · 3 across the 4 of their papers we have counts for
6 papers
Vision-Aided Absolute Trajectory Estimation Using an Unsupervised Deep Network with Online Error Correction
E. Jared Shamwell, Sarah Leung, William D. Nothwang
We present an unsupervised deep neural network approach to the fusion of RGB-D imagery with inertial measurements for absolute trajectory estimation. Our network, dubbed the Visual…
Multi-Hypothesis Visual-Inertial Flow
E. Jared Shamwell, William D. Nothwang, Donald Perlis
Estimating the correspondences between pixels in sequences of images is a critical first step for a myriad of tasks including vision-aided navigation (e.g., visual odometry (VO), v…
DTM: Deformable Template Matching
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson +1
A novel template matching algorithm that can incorporate the concept of deformable parts, is presented in this paper. Unlike the deformable part model (DPM) employed in object reco…
Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search
Hyungtae Lee, Heesung Kwon, Archith J. Bency +1
Object localization is an important task in computer vision but requires a large amount of computational power due mainly to an exhaustive multiscale search on the input image. In…
Dynamic Belief Fusion for Object Detection
Hyungtae Lee, Heesung Kwon, Ryan M. Robinson +2
A novel approach for the fusion of heterogeneous object detection methods is proposed. In order to effectively integrate the outputs of multiple detectors, the level of ambiguity i…
Dynamic Belief Fusion for Object Detection
Ryan Robinson
A novel approach for the fusion of detection scores from disparate object detection methods is proposed. In order to effectively integrate the outputs of multiple detectors, the le…