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MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
Pose-guided person image generation usually involves using paired source...
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Rank Position Forecasting in Car Racing
Forecasting is challenging since uncertainty resulted from exogenous fac...
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Hybrid Collaborative Filtering Models for Clinical Search Recommendation
With increasing and extensive use of electronic health records, clinicia...
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Least Squares Estimator for Vasicek Model Driven by Sub-fractional Brownian Processes from Discrete Observations
We study the parameter estimation problem of Vasicek Model driven by sub...
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M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation
Next-basket recommendation considers the problem of recommending a set o...
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Learning Pose-invariant 3D Object Reconstruction from Single-view Images
Learning to reconstruct 3D shapes using 2D images is an active research ...
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Co-occurrence Background Model with Superpixels for Robust Background Initialization
Background initialization is an important step in many high-level applic...
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HAM: Hybrid Associations Model with Pooling for Sequential Recommendation
We developed a hybrid associations model (HAM) to generate sequential re...
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A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems
Recent researches show that machine learning has the potential to learn ...
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CNN-based Dual-Chain Models for Knowledge Graph Learning
Knowledge graph learning plays a critical role in integrating domain spe...
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Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval
Sketch-based image retrieval (SBIR) is a challenging task due to the lar...
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Comprehensive Video Understanding: Video summarization with content-based video recommender design
Video summarization aims to extract keyframes/shots from a long video. P...
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iCartoonFace: A Benchmark of Cartoon Person Recognition
Cartoons receive increasingly attention and have a huge global market. C...
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Point Clouds Learning with Attention-based Graph Convolution Networks
Point clouds data, as one kind of representation of 3D objects, are the ...
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On the generalization of GAN image forensics
Recently the GAN generated face images are more and more realistic with ...
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A deep Convolutional Neural Network for topology optimization with strong generalization ability
This paper proposes a deep Convolutional Neural Network(CNN) with strong...
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iQIYI-VID: A Large Dataset for Multi-modal Person Identification
Person identification in the wild is very challenging due to great varia...
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A Blended Deep Learning Approach for Predicting User Intended Actions
User intended actions are widely seen in many areas. Forecasting these a...
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Person Re-Identification by Semantic Region Representation and Topology Constraint
Person re-identification is a popular research topic which aims at match...
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Extreme Network Compression via Filter Group Approximation
In this paper we propose a novel decomposition method based on filter gr...
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High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Subgraph counting aims to count the number of occurrences of a subgraph ...
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Automatic Image Segmentation by Dynamic Region Merging
This paper addresses the automatic image segmentation problem in a regio...
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