activity
20182024
most citedDeep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles

65 citations · 244 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2024

Airship Formations for Animal Motion Capture and Behavior Analysis

Eric Price, Aamir Ahmad

Using UAVs for wildlife observation and motion capture offers manifold advantages for studying animals in the wild, especially grazing herds in open terrain. The aerial perspective…

cs.CV2023★ 4 cited

Accelerated Video Annotation driven by Deep Detector and Tracker

Eric Price, Aamir Ahmad

Annotating object ground truth in videos is vital for several downstream tasks in robot perception and machine learning, such as for evaluating the performance of an object tracker…

cs.RO2022★ 15 cited

Viewpoint-driven Formation Control of Airships for Cooperative Target Tracking

Eric Price, Michael J. Black, Aamir Ahmad

For tracking and motion capture (MoCap) of animals in their natural habitat, a formation of safe and silent aerial platforms, such as airships with on-board cameras, is well suited…

cs.RO2022★ 1 cited

Deep Residual Reinforcement Learning based Autonomous Blimp Control

Yu Tang Liu, Eric Price, Michael J. Black +1

Blimps are well suited to perform long-duration aerial tasks as they are energy efficient, relatively silent and safe. To address the blimp navigation and control task, in previous…

cs.CV2022★ 35 cited

AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation

Nitin Saini, Elia Bonetto, Eric Price +2

In this letter, we present a novel markerless 3D human motion capture (MoCap) system for unstructured, outdoor environments that uses a team of autonomous unmanned aerial vehicles…

cs.RO2021★ 8 cited

Autonomous Blimp Control using Deep Reinforcement Learning

Yu Tang Liu, Eric Price, Pascal Goldschmid +2

Aerial robot solutions are becoming ubiquitous for an increasing number of tasks. Among the various types of aerial robots, blimps are very well suited to perform long-duration tas…

cs.LG2021★ 45 cited

Robust Compressed Sensing MRI with Deep Generative Priors

Ajil Jalal, Marius Arvinte, Giannis Daras +3

The CSGM framework (Bora-Jalal-Price-Dimakis'17) has shown that deep generative priors can be powerful tools for solving inverse problems. However, to date this framework has been…

cs.RO2020★ 13 cited

Simulation and Control of Deformable Autonomous Airships in Turbulent Wind

Eric Price, Yu Tang Liu, Michael J. Black +1

Abstract. Fixed wing and multirotor UAVs are common in the field of robotics. Solutions for simulation and control of these vehicles are ubiquitous. This is not the case for airshi…

cs.RO2019★ 58 cited

Active Perception based Formation Control for Multiple Aerial Vehicles

Rahul Tallamraju, Eric Price, Roman Ludwig +4

Autonomous motion capture (mocap) systems for outdoor scenarios involving flying or mobile cameras rely on i) a robotic front-end to track and follow a human subject in real-time w…

cs.RO2018★ 65 cited

Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles

Eric Price, Guilherme Lawless, Heinrich H. Bülthoff +2

Multi-camera full-body pose capture of humans and animals in outdoor environments is a highly challenging problem. Our approach to it involves a team of cooperating micro aerial ve…