20 citations · 49 across the 7 of their papers we have counts for
10 papers
Differentiable Adaptive Computation Time for Visual Reasoning
Cristobal Eyzaguirre, Alvaro Soto
This paper presents a novel attention-based algorithm for achieving adaptive computation called DACT, which, unlike existing ones, is end-to-end differentiable. Our method can be u…
A Behavioral Approach to Visual Navigation with Graph Localization Networks
Kevin Chen, Juan Pablo de Vicente, Gabriel Sepulveda +4
Inspired by research in psychology, we introduce a behavioral approach for visual navigation using topological maps. Our goal is to enable a robot to navigate from one location to…
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez +4
We propose an end-to-end deep learning model for translating free-form natural language instructions to a high-level plan for behavioral robot navigation. We use attention models t…
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining
Yundong Zhang, Juan Carlos Niebles, Alvaro Soto
A key aspect of VQA models that are interpretable is their ability to ground their answers to relevant regions in the image. Current approaches with this capability rely on supervi…
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation
Gabriel Sepulveda, Juan Carlos Niebles, Alvaro Soto
We present a semantically rich graph representation for indoor robotic navigation. Our graph representation encodes: semantic locations such as offices or corridors as nodes, and n…
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Vicente Dominguez, Pablo Messina, Denis Parra +3
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation. Recent works have shown that visual fe…