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Deoscillated Graph Collaborative Filtering


Authors:  ZhiweiLiu, LinMeng, JiaweiZhang....
Published date-11/04/2020
Tasks:  RecommendationSystems

Abstract: Collaborative Filtering (CF) signals are crucial for a Recommender System~(RS) model to learn user and item embeddings. High-order information can alleviate the cold-start issue of CF-based methods, which is modelled …

DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction


Authors:  PeterBjørnJørgensen, ArghyaBhowmik....
Published date-11/04/2020

Abstract: We introduce DeepDFT, a deep learning model for predicting the electronic charge density around atoms, the fundamental variable in electronic structure simulations from which all ground state properties can be …

CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation


Authors:  HengliWang, RuiFan, MingLiu....
Published date-11/04/2020
Tasks:  OpticalFlowEstimation

Abstract: The interpretation of ego motion and scene change is a fundamental task for mobile robots. Optical flow information can be employed to estimate motion in the surroundings. Recently, unsupervised optical …

Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors


Authors:  YukiInoue, HirotoNagayoshi....
Published date-11/04/2020

Abstract: Automatic crack detection is a critical task that has the potential to drastically reduce labor-intensive building and road inspections currently being done manually. Recent studies in this field have significantly …

Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning


Authors:  LeChen, YunkeAo, FlorianTschopp....
Published date-11/04/2020

Abstract: Visual-inertial systems rely on precise calibrations of both camera intrinsics and inter-sensor extrinsics, which typically require manually performing complex motions in front of a calibration target. In this work we …

An Improved Attention for Visual Question Answering


Authors:  TanzilaRahman, Shih-HanChou, LeonidSigal....
Published date-11/04/2020
Tasks:  QuestionAnswering, VisualQuestionAnswering

Abstract: We consider the problem of Visual Question Answering (VQA). Given an image and a free-form, open-ended, question, expressed in natural language, the goal of VQA system is to provide accurate …

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