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Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
We propose a novel method based on teacher-student learning framework fo...
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Point-Level Temporal Action Localization: Bridging Fully-supervised Proposals to Weakly-supervised Losses
Point-Level temporal action localization (PTAL) aims to localize actions...
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ESAD: End-to-end Deep Semi-supervised Anomaly Detection
This paper explores semi-supervised anomaly detection, a more practical ...
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Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
Surrogate task based methods have recently shown great promise for unsup...
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Privileged Knowledge Distillation for Online Action Detection
Online Action Detection (OAD) in videos is proposed as a per-frame label...
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Learning on Attribute-Missing Graphs
Graphs with complete node attributes have been widely explored recently....
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Sampling and Recovery of Graph Signals based on Graph Neural Networks
We propose interpretable graph neural networks for sampling and recovery...
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Two-Stream Compare and Contrast Network for Vertebral Compression Fracture Diagnosis
Differentiating Vertebral Compression Fractures (VCFs) associated with t...
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Universal Model for 3D Medical Image Analysis
Deep Learning-based methods recently have achieved remarkable progress i...
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Graph Cross Networks with Vertex Infomax Pooling
We propose a novel graph cross network (GXN) to achieve comprehensive fe...
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Urban Traffic Flow Forecast Based on FastGCRNN
Traffic forecasting is an important prerequisite for the application of ...
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Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
Cross domain recommendation (CDR) has been proposed to tackle the data s...
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Decoupled Variational Embedding for Signed Directed Networks
Node representation learning for signed directed networks has received c...
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Learning Robust Node Representation on Graphs
Graph neural networks (GNN), as a popular methodology for node represent...
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Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs
Relational learning aims to make relation inference by exploiting the co...
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Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph
Knowledge graphs (KGs) composed of users, objects, and tags are widely u...
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Universal-to-Specific Framework for Complex Action Recognition
Video-based action recognition has recently attracted much attention in ...
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From Quantized DNNs to Quantizable DNNs
This paper proposes Quantizable DNNs, a special type of DNNs that can fl...
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Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction
We propose novel dynamic multiscale graph neural networks (DMGNN) to pre...
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Collaborative Motion Prediction via Neural Motion Message Passing
Motion prediction is essential and challenging for autonomous vehicles a...
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Constraining Temporal Relationship for Action Localization
Recently, temporal action localization (TAL), i.e., finding specific act...
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Inverse-Transform AutoEncoder for Anomaly Detection
Reconstruction-based methods have recently shown great promise for anoma...
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Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning
Existing automatic 3D image segmentation methods usually fail to meet th...
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Cascading: Association Augmented Sequential Recommendation
Recently, recommendation according to sequential user behaviors has show...
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Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction
3D skeleton-based action recognition and motion prediction are two essen...
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Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data
Data augmentation has been widely applied as an effective methodology to...
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Node Attribute Generation on Graphs
Graph structured data provide two-fold information: graph structures and...
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Defending Adversarial Attacks by Correcting logits
Generating and eliminating adversarial examples has been an intriguing t...
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Handwritten Chinese Font Generation with Collaborative Stroke Refinement
Automatic character generation is an appealing solution for new typeface...
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Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
Action recognition with skeleton data has recently attracted much attent...
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Safeguarded Dynamic Label Regression for Generalized Noisy Supervision
Learning with noisy labels, which aims to reduce expensive labors on acc...
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Network Compression via Recursive Bayesian Pruning
Recently, compression and acceleration of deep neural networks are in cr...
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Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption
Unsupervised domain adaption aims to learn a powerful classifier for the...
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Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation
Integrating multi-phase information is an effective way of boosting visu...
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Variational Collaborative Learning for User Probabilistic Representation
Collaborative filtering (CF) has been successfully employed by many mode...
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Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising
In online advertising, the Internet users may be exposed to a sequence o...
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Understanding VAEs in Fisher-Shannon Plane
In information theory, Fisher information and Shannon information (entro...
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A Unified Framework for Generalizable Style Transfer: Style and Content Separation
Image style transfer has drawn broad attention in recent years. However,...
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Webpage Saliency Prediction with Two-stage Generative Adversarial Networks
Web page saliency prediction is a challenge problem in image transformat...
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Masking: A New Perspective of Noisy Supervision
It is important to learn classifiers under noisy labels due to their ubi...
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An Element Sensitive Saliency Model with Position Prior Learning for Web Pages
Understanding human visual attention is important for multimedia applica...
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Variational Composite Autoencoders
Learning in the latent variable model is challenging in the presence of ...
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Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks
The Least Loaded (LL) routing algorithm has been in recent decades the r...
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Multi-Scale Spatially-Asymmetric Recalibration for Image Classification
Convolution is spatially-symmetric, i.e., the visual features are indepe...
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Degeneration in VAE: in the Light of Fisher Information Loss
Variational Autoencoder (VAE) is one of the most popular generative mode...
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Collaborative Learning for Weakly Supervised Object Detection
Weakly supervised object detection has recently received much attention,...
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Separating Style and Content for Generalized Style Transfer
Neural style transfer has drawn broad attention in recent years. However...
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Chinese Typeface Transformation with Hierarchical Adversarial Network
In this paper, we explore automated typeface generation through image st...
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Deep Learning from Noisy Image Labels with Quality Embedding
There is an emerging trend to leverage noisy image datasets in many visu...
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Query-free Clothing Retrieval via Implicit Relevance Feedback
Image-based clothing retrieval is receiving increasing interest with the...
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