20 citations · 23 across the 6 of their papers we have counts for
6 papers · 1 filter
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez, Simone Lionetti, Dena Bazazian +4
Out-Of-Distribution (OOD) detection is critical to deploy deep learning models in safety-critical applications. However, the inherent hierarchical concept structure of visual data,…
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
Tejas Anvekar, Dena Bazazian
In the realm of 3D-computer vision applications, point cloud few-shot learning plays a critical role. However, it poses an arduous challenge due to the sparsity, irregularity, and…
Dual-Domain Image Synthesis using Segmentation-Guided GAN
Dena Bazazian, Andrew Calway, Dima Damen
We introduce a segmentation-guided approach to synthesise images that integrate features from two distinct domains. Images synthesised by our dual-domain model belong to one domain…
Riemannian Functional Map Synchronization for Probabilistic Partial Correspondence in Shape Networks
Faria Huq, Adrish Dey, Sahra Yusuf +3
We consider the problem of graph-matching on a network of 3D shapes with uncertainty quantification. We assume that the pairwise shape correspondences are efficiently represented a…
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images
Dena Bazazian, Dimosthenis Karatzas, Andrew D. Bagdanov
Word spotting in natural scene images has many applications in scene understanding and visual assistance. In this paper we propose a technique to create and exploit an intermediate…
Improving Text Proposals for Scene Images with Fully Convolutional Networks
Dena Bazazian, Raul Gomez, Anguelos Nicolaou +3
Text Proposals have emerged as a class-dependent version of object proposals - efficient approaches to reduce the search space of possible text object locations in an image. Combin…