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07/29/2020
The Return of Lexical Dependencies: Neural Lexicalized PCFGs
In this paper we demonstrate that context free grammar (CFG) based metho...
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07/17/2020
Personalized Speech2Video with 3D Skeleton Regularization and Expressive Body Poses
In this paper, we propose a novel approach to convert given speech audio...
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07/14/2020
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning
The financial sector presents many opportunities to apply various machin...
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05/07/2020
Self-Supervised Human Depth Estimation from Monocular Videos
Previous methods on estimating detailed human depth often require superv...
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03/31/2020
FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
In this paper, we present a large-scale detailed 3D face dataset, FaceSc...
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03/19/2020
SAPIEN: A SimulAted Part-based Interactive ENvironment
Building home assistant robots has long been a pursuit for vision and ro...
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01/14/2020
Deep Audio-Visual Learning: A Survey
Audio-visual learning, aimed at exploiting the relationship between audi...
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12/23/2019
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph
Fraud detection is extremely critical for e-commerce business. It is the...
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10/31/2019
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
Grasping is among the most fundamental and long-lasting problems in robo...
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10/16/2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
We present FewRel 2.0, a more challenging task to investigate two aspect...
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09/26/2019
Learned Point Cloud Geometry Compression
This paper presents a novel end-to-end Learned Point Cloud Geometry Comp...
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07/21/2019
Quantifying Similarity between Relations with Fact Distribution
We introduce a conceptually simple and effective method to quantify the ...
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06/22/2019
Explainable Knowledge Graph-based Recommendation via Deep Reinforcement Learning
This paper studies recommender systems with knowledge graphs, which can ...
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06/19/2019
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Policy gradient (PG) methods are a widely used reinforcement learning me...
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04/24/2019
Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
This paper presents a novel framework to recover detailed human body sha...
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02/15/2019
Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images
Light-field cameras (LFC) have received increasing attention due to thei...
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02/02/2019
Graph Neural Networks with Generated Parameters for Relation Extraction
Recently, progress has been made towards improving relational reasoning ...
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12/17/2018
High-Resolution Talking Face Generation via Mutual Information Approximation
Given an arbitrary speech clip and a facial image, talking face generati...
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12/02/2018
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
Multi-person pose estimation is fundamental to many computer vision task...
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10/29/2018
Language Modeling with Sparse Product of Sememe Experts
Most language modeling methods rely on large-scale data to statistically...
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10/24/2018
FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation
We present a Few-Shot Relation Classification Dataset (FewRel), consisti...
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06/17/2018
Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Sememes are minimum semantic units of concepts in human languages, such ...
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06/14/2018
Dense Light Field Reconstruction From Sparse Sampling Using Residual Network
Light field records numerous light rays from real-world scene. However, ...
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04/11/2018
View Extrapolation of Human Body from a Single Image
We study how to synthesize novel views of human body from a single image...
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12/20/2017
Light Field Segmentation From Super-pixel Graph Representation
Efficient and accurate segmentation of light field is an important task ...
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08/15/2016
Occlusion-Model Guided Anti-Occlusion Depth Estimation in Light Field
Occlusion is one of the most challenging problems in depth estimation. P...
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03/30/2015
