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| Adaptive Time Budget Adjustment Strategy Based on a | take | -Over Performance Model for Passive Fatigue, An |
| AI | take | s a Dumpster Dive: Computer-vision systems sort your recyclables at superhuman speed |
| analysis and research of visual perception and image processing in visual information design: | take | Google Earth for example, The |
| Application of Integration of HBIM and VR Technology to 3D Immersive Digital Management: | take | Han Type Traditional Architecture as an Example |
| Assessing Driving Styles in Commercial Motor Vehicle Drivers After | take | -Over Conditions in Highly Automated Vehicles |
| Assignment and | take | -Off Approaches for Large-Scale Autonomous UAV Swarms |
| Auditory Displays for | take | -Over in Semi-automated Vehicles |
| Autonomous System to | take | Angular Thermal-Infrared Measurements for Validating Satellite Products, An |
| Bayesian Winner- | take | -All Reconstruction of Intermediate Views from Stereoscopic Images |
| Boom With a View: The Satellite-Imaging Industry is Exploding. Here's how to | take | Advantage of it, A |
| Breaking Winner- | take | s-All: Iterative-Winners-Out Networks for Weakly Supervised Temporal Action Localization |
| Can cargo drones solve air freight's logjams? A drone startup says its big vertical- | take | off flier would be quick to land, load, and take off again |
| Coalition of the Willing | take | s Aim at COVID-19 |
| color transformation method based on color theme that | take | s constraints on color ratio and spatial coherence into consideration, A |
| Commercial Quality Text: What Does it | take | ? |
| Crop Monitoring Based on SPOT-5 | take | -5 and Sentinel-1A Data for the Estimation of Crop Water Requirements |
| Delineation Evaluation and Variation of Debris-Covered Glaciers Based on the Multi-Source Remote Sensing Images, | take | Glaciers in the Eastern Tomur Peak Region for Example |
| Digital Interpretation and Presentation for Monuments Built by Arches - | take | Kinmen Area Heritage as an Example |
| Driver Assistance, Intervention, | take | Over Analysis, Performance |
| Driver Response to | take | -Over Requests in Real Traffic |
| Effects of Lead Time of | take | -Over Request and Nondriving Tasks on Taking-Over Control of Automated Vehicles, The |
| Estimation of Canopy Gap Fraction from Terrestrial Laser Scanner Using an Angular Grid to | take | Advantage of the Full Data Spatial Resolution |
| Facebook | take | s on deepfakes |
| GraphVid: It only | take | s a Few Nodes to Understand a Video |
| Helping Visually Impaired People | take | Better Quality Pictures |
| How Does Explanation-Based Knowledge Influence Driver | take | -Over in Conditional Driving Automation? |
| How Many 2D Silhouettes Does it | take | to Reconstruct a 3D Object |
| How many bits does it | take | for a stimulus to be salient? |
| How Many Templates Does It | take | for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size |
| Human-Centered Comprehensive Measure of | take | -Over Performance Based on Multiple Objective Metrics, A |
| Iceland's consumers try drone delivery: The startup Aha | take | s on Amazon with basic drones bearing burgers |
| Impartial | take | to the CNN vs Transformer Robustness Contest, An |
| Information Theoretic | take | on Time Reversal for Nonstationary Channels, An |
| Intelligent Vision Systems Are Set to | take | -Off |
| Interruption Management in the Context of | take | -Over-Requests in Conditional Driving Automation |
| IR Cameras | take | Aim at Machine-Vision Applications |
| It | take | s Two to Tango: Cascading off-the-Shelf Face Detectors |
| Kids | take | Their Best Shot (and Learn about Electronics in the Process) |
| Learning Compact Features for Human Activity Recognition Via Probabilistic First- | take | -All |
| Learning to | take | Directions One Step at a Time |
| Let's | take | a Walk on Superpixels Graphs: Deformable Linear Objects Segmentation and Model Estimation |
| Let's | take | This Online: Adapting Scene Coordinate Regression Network Predictions for Online RGB-D Camera Relocalisation |
| Long automated driving phase affects | take | -over performance |
| Mapping Wheat | take | -All Disease Levels from Airborne Hyperspectral Images Using Radiative Transfer Models |
| Measuring Land | take | : Usability of National Topographic Databases as Input for Land Use Change Analysis: A Case Study from Germany |
| New | take | on Protecting Cyclists in Smart Cities, A |
| Non-isotropic Probabilistic | take | on Proxy-based Deep Metric Learning, A |
| Note- | take | r: An assistive technology that allows students who are legally blind to take notes in the classroom, The |
| Novel Image-Stability System | take | s The Shakes Out Of Pictures |
| Patterns of Nighttime Crowd Flows in Tourism Cities Based on Taxi Data: | take | Haikou Prefecture as an Example |
| PolarMOT: How Far Can Geometric Relations | take | us in 3D Multi-object Tracking? |
| Probabilistic Winner- | take | -All Segmentation of Images with Application to Ship Detection |
| Projection-space methods to | take | into account finite beam-width effects in two-dimensional tomography algorithms |
| Quasi-Online Detection of | take | and Release Actions from Egocentric Videos |
| RarePlanes: Synthetic Data | take | s Flight |
| Real-Time Accurate Stereo Matching Using Modified Two-Pass Aggregation and Winner- | take | -All Guided Dynamic Programming |
| Real-time Multi-view Stereo Algorithm using Adaptive-weight Parzen Window and Local Winner- | take | -all Optimization |
| Red light, green light, no light: Tomorrow's communicative cars could | take | turns at intersections |
| Remote Sensing and Spatial Analysis for Land- | take | Assessment in Basilicata Region (Southern Italy) |
| Rendition: Reclaiming What a Black Box | take | s Away |
| Research of Construction Mechanism of Vassal State's City Group during Spring and Autumn Period Based on the Analyzation of Geographic Image: | take | south region of Shandong as example, A |
| Research on Management and Publishing of Disaster Emergency Monitoring Data: | take | Yingjiang Earthquake as an Example |
| Research on WebGIS-Based Visualization of Storm Surge Disaster Based on Sphere: | take | the Taiwan Strait Storm Surge Forecast Data as an Example |
| Responses to | take | -Over Request in Autonomous Vehicles: Effects of Environmental Conditions and Cues |
| SAR image processing using probabilistic Winner- | take | -all learning and artificial neural networks |
| Should I | take | a walk? Estimating Energy Expenditure from Video Data |
| Sightseeing Spot Recommendation System That | take | s into Account the Change in Circumstances of Users, A |
| Sightseeing Spot Recommendation System That | take | s into Account the Visiting Frequency of Users, A |
| Single Image Depth Prediction Made Better: A Multivariate Gaussian | take | |
| SPOT-4 ( | take | 5): Simulation of Sentinel-2 Time Series on 45 Large Sites |
| Students | take | Charge of Climate Communication |
| take | a Ramble into Solution Spaces for Classification Problems in Neural Networks |
| take | an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping |
| take | the Scenic Route: Improving Generalization in Vision-and-Language Navigation |
| take | your eyes off the ball: Improving ball-tracking by focusing on team play |
| take | -A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models |
| VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- | take | -All Circuits |
| Where Did I | take | That Snapshot: Scene-Based Homing By Image Matching |
| Winner | take | all in a large array of opto-electronic feedback circuits for image processing |
| Winner | take | s all hashing for speeding up the training of neural networks in large class problems |
| Winner- | take | -All Strategy for Improved Object Tracking, A |
| world's most powerful MRI | take | s shape, The |
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