Detecting Flying Objects using a Single Moving Camera

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The use of aerial vehicles for exploration and data collection has the potential to significantly aid environmental monitoring in environments which are dangerous and hard to navigate. However, within these environments navigation can often be restricted b ...

Fuzzing is the de-facto default technique to discover software flaws, randomly testing programs to discover crashing test cases. Yet, a particular scenario may only care about specific code regions (for, e.g., bug reproduction, patch or regression testing) ...

There is a growing interest in unmanned aerial vehicles (UAVs) grasping, perching, and interacting with their surroundings by means of claws, arms, hooks, and other appendages. While multirotor vehicles can slowly lower onto a target object and grasp it, w ...

In this paper, we introduce a new solution and underlying architecture that allows remote participants to interact with hosts in a broadcast scenario. To achieve this, background extraction is first applied to video received from remote participants to ext ...

Modern UAVs (Unmanned Aerial Vehicles) suffer from restrictions in flight range and time due to battery capacity limitations. One way to overcome these limitations is to harvest energy from overhead power lines. A growing body of scientific literature has ...

While supervised object detection and segmentation methods achieve impressive accuracy, they generalize poorly to images whose appearance significantly differs from the data they have been trained on. To address this when annotating data is prohibitively e ...

LiftPose3D infers three-dimensional poses from two-dimensional data or from limited three-dimensional data. The approach is illustrated for videos of behaving Drosophila, mice, rats and macaques. ...

We address the detection, tracking, and relative localization of the agents of a drone swarm from a human perspective using a headset equipped with a single camera and an Inertial Measurement Unit (IMU). We train and deploy a deep neural network detector o ...

Detecting Flying Objects using a Single Moving Camera

Chattez avec Graph Search

Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows

Ex uno plures: how to construct high-speed movies of collapsing cavitation bubbles from a single image

Towards learning-based denoising of light fields

Improving Object Detection under Domain Shifts

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Detecting Anomalies and Obstacles in Road Scenes

Practical computational imaging by use of spatiotemporal light modulation: from simulations to applications in biological microscopy

Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management

Dense Image-based Predictions for Comics Analysis

Automated post-earthquake damage assessment of stone masonry buildings integrating machine learning, computer vision, and physics-based modeling

Heading for the Abyss: Control Strategies for Exploiting Swinging of a Descending Tethered Aerial Robot

One Fuzz Doesn’t Fit All: Optimizing Directed Fuzzing via Target-tailored Program State Restriction

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AI-based telepresence for broadcast applications

A Lightweight Device for Energy Harvesting from Power Lines with a Fixed-Wing UAV

Self-supervised Segmentation via Background Inpainting

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset