9 citations · 10 across the 7 of their papers we have counts for
7 papers
Memory Proxy Maps for Visual Navigation
Faith Johnson, Bryan Bo Cao, Ashwin Ashok +2
Visual navigation takes inspiration from humans, who navigate in previously unseen environments using vision without detailed environment maps. Inspired by this, we introduce a nov…
Socially Cognizant Robotics for a Technology Enhanced Society
Kristin J. Dana, Clinton Andrews, Kostas Bekris +6
Emerging applications of robotics, and concerns about their impact, require the research community to put human-centric objectives front-and-center. To meet this challenge, we advo…
Hierarchical Reinforcement Learning for Temporal Pattern Prediction
Faith Johnson, Kristin Dana
In this work, we explore the use of hierarchical reinforcement learning (HRL) for the task of temporal sequence prediction. Using a combination of deep learning and HRL, we develop…
ViFiT: Reconstructing Vision Trajectories from IMU and Wi-Fi Fine Time Measurements
Bryan Bo Cao, Abrar Alali, Hansi Liu +5
Tracking subjects in videos is one of the most widely used functions in camera-based IoT applications such as security surveillance, smart city traffic safety enhancement, vehicle…
Vision-Based Cranberry Crop Ripening Assessment
Faith Johnson, Jack Lowry, Kristin Dana +1
Agricultural domains are being transformed by recent advances in AI and computer vision that support quantitative visual evaluation. Using drone imaging, we develop a framework for…
Deep TEN: Texture Encoding Network
Hang Zhang, Jia Xue, Kristin Dana
We propose a Deep Texture Encoding Network (Deep-TEN) with a novel Encoding Layer integrated on top of convolutional layers, which ports the entire dictionary learning and encoding…