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DmifNet:3D Shape Reconstruction Based on Dynamic Multi-Branch Information Fusion

Authors:  LeiLI, SupingWu....
Published date-11/21/2020
Tasks:  3DObjectReconstruction, 3DShapeReconstruction, DomainAdaptation, ObjectReconstruction

Abstract: 3D object reconstruction from a single-view image is a long-standing challenging problem. Previous work was difficult to accurately reconstruct 3D shapes with a complex topology which has rich details at …
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Emergent Road Rules In Multi-Agent Driving Environments

Authors:  AvikPal, JonahPhilion, Yuan-HongLiao....
Published date-11/21/2020
Tasks:  AutonomousVehicles

Abstract: For autonomous vehicles to safely share the road with human drivers, autonomous vehicles must abide by specific "road rules" that human drivers have agreed to follow. "Road rules" include rules …
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RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty

Authors:  BenjaminGraham, DavidNovotny....
Published date-11/20/2020
Tasks:  StructurefromMotion

Abstract: We consider the problem of simultaneously estimating a dense depth map and camera pose for a large set of images of an indoor scene. While classical SfM pipelines rely on …
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Joint Analysis and Prediction of Human Actions and Paths in Video

Authors:  JunweiLiang....
Published date-11/20/2020
Tasks:  ActionDetection, AutonomousDriving, TrajectoryPrediction

Abstract: With the advancement in computer vision deep learning, systems now are able to analyze an unprecedented amount of rich visual information from videos to enable applications such as autonomous driving, …
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AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval

Authors:  Chieh-YangChen, Pei-HsinWang, Shih-ChiehChang....
Published date-11/20/2020
Memory Network
Working Memory Models
Tasks:  Task-OrientedDialogueSystems, Text-To-Sql

Abstract: Despite recent success in neural task-oriented dialogue systems, developing such a real-world system involves accessing large-scale knowledge bases (KBs), which cannot be simply encoded by neural approaches, such as memory …
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Crowdsourcing Airway Annotations in Chest Computed Tomography Images

Authors:  VeronikaCheplygina, AdriaPerez-Rovira, WieyingKuo....
Published date-11/20/2020
Tasks:  ComputedTomography(CT)

Abstract: Measuring airways in chest computed tomography (CT) scans is important for characterizing diseases such as cystic fibrosis, yet very time-consuming to perform manually. Machine learning algorithms offer an alternative, but …
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