activity
20182023
most citedDeep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles

65 citations · 302 across the 20 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2023

Learning from synthetic data generated with GRADE

Elia Bonetto, Chenghao Xu, Aamir Ahmad

Recently, synthetic data generation and realistic rendering has advanced tasks like target tracking and human pose estimation. Simulations for most robotics applications are obtain…

cs.CV2023★ 8 cited

Synthetic Data-based Detection of Zebras in Drone Imagery

Elia Bonetto, Aamir Ahmad

Nowadays, there is a wide availability of datasets that enable the training of common object detectors or human detectors. These come in the form of labelled real-world images and…

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.CV2022★ 1 cited

SmartMocap: Joint Estimation of Human and Camera Motion using Uncalibrated RGB Cameras

Nitin Saini, Chun-hao P. Huang, Michael J. Black +1

Markerless human motion capture (mocap) from multiple RGB cameras is a widely studied problem. Existing methods either need calibrated cameras or calibrate them relative to a stati…

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…