163 citations · 171 across the 8 of their papers we have counts for
12 papers
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin, Jyoti Aneja, Hany Awadalla +126
We introduce phi-3-mini, a 3.8 billion parameter language model trained on 3.3 trillion tokens, whose overall performance, as measured by both academic benchmarks and internal test…
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…
Efficient Scene Compression for Visual-based Localization
Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso
Estimating the pose of a camera with respect to a 3D reconstruction or scene representation is a crucial step for many mixed reality and robotics applications. Given the vast amoun…
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-…
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
Gaurav Mittal, Chang Liu, Nikolaos Karianakis +3
While deep neural networks excel in solving visual recognition tasks, they require significant effort to find hyperparameters that make them work optimally. Hyperparameter Optimiza…
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
Victor Fragoso, Joseph DeGol, Gang Hua
Many real-world applications in augmented reality (AR), 3D mapping, and robotics require both fast and accurate estimation of camera poses and scales from multiple images captured…
Patch Correspondences for Interpreting Pixel-level CNNs
Victor Fragoso, Chunhui Liu, Aayush Bansal +1
We present compositional nearest neighbors (CompNN), a simple approach to visually interpreting distributed representations learned by a convolutional neural network (CNN) for pixe…
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion
Qiaodong Cui, Victor Fragoso, Chris Sweeney +1
We present GraphMatch, an approximate yet efficient method for building the matching graph for large-scale structure-from-motion (SfM) pipelines. Unlike modern SfM pipelines that u…
ANSAC: Adaptive Non-minimal Sample and Consensus
Victor Fragoso, Chris Sweeney, Pradeep Sen +1
While RANSAC-based methods are robust to incorrect image correspondences (outliers), their hypothesis generators are not robust to correct image correspondences (inliers) with posi…
One-Class Slab Support Vector Machine
Victor Fragoso, Walter Scheirer, Joao Hespanha +1
This work introduces the one-class slab SVM (OCSSVM), a one-class classifier that aims at improving the performance of the one-class SVM. The proposed strategy reduces the false po…
Large Scale SfM with the Distributed Camera Model
Chris Sweeney, Victor Fragoso, Tobias Hollerer +1
We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with ray origins and direct…
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data
Carlos Torres, Victor Fragoso, Scott D. Hammond +2
Manual analysis of body poses of bed-ridden patients requires staff to continuously track and record patient poses. Two limitations in the dissemination of pose-related therapies a…