2 citations · 2 across the 3 of their papers we have counts for
6 papers
Sparse Fusion for Multimodal Transformers
Yi Ding, Alex Rich, Mason Wang +4
Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be…
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
Jedrzej Kozerawski, Matthew Turk
Real-world classification tasks are frequently required to work in an open-set setting. This is especially challenging for few-shot learning problems due to the small sample size f…
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…
Face Verification in Polar Frequency Domain: a Biologically Motivated Approach
Yossi Zana, Roberto M. Cesar-Jr, Rogerio S. Feris +1
We present a novel local-based face verification system whose components are analogous to those of biological systems. In the proposed system, after global registration and normali…