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Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
The audio-video based emotion recognition aims to classify a given video...
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AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction
In this paper, we consider the Click-Through-Rate (CTR) prediction probl...
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AU-Guided Unsupervised Domain Adaptive Facial Expression Recognition
The domain diversities including inconsistent annotation and varied imag...
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PiPoMonitor: Mitigating Cross-core Cache Attacks Using the Auto-Cuckoo Filter
Cache side channel attacks obtain victim cache line access footprint to ...
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Interpretable Visual Reasoning via Induced Symbolic Space
We study the problem of concept induction in visual reasoning, i.e., ide...
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Efficient and Effective Community Search on Large-scale Bipartite Graphs
Bipartite graphs are widely used to model relationships between two type...
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Revisiting Graph Neural Networks for Link Prediction
Graph neural networks (GNNs) have achieved great success in recent years...
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Suppressing Mislabeled Data via Grouping and Self-Attention
Deep networks achieve excellent results on large-scale clean data but de...
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Multi-teacher Knowledge Distillation for Knowledge Graph Completion
Link prediction based on knowledge graph embedding (KGE) aims to predict...
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ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
Manually authoring 3D shapes is difficult and time consuming; generative...
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Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
Conservation efforts in green security domains to protect wildlife and f...
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Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs
We propose a novel cohesive subgraph model called τ-strengthened (α,β)-c...
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CardioLearn: A Cloud Deep Learning Service for Cardiac Disease Detection from Electrocardiogram
Electrocardiogram (ECG) is one of the most convenient and non-invasive t...
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Bookworm continual learning: beyond zero-shot learning and continual learning
We propose bookworm continual learning(BCL), a flexible setting where un...
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Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Solving optimization problems with unknown parameters often requires lea...
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Simple and effective localized attribute representations for zero-shot learning
Zero-shot learning (ZSL) aims to discriminate images from unseen classes...
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Multi-Domain Dialogue Acts and Response Co-Generation
Generating fluent and informative responses is of critical importance fo...
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Relational Graph Attention Network for Aspect-based Sentiment Analysis
Aspect-based sentiment analysis aims to determine the sentiment polarity...
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The 1st Agriculture-Vision Challenge: Methods and Results
The first Agriculture-Vision Challenge aims to encourage research in dev...
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Semantic Drift Compensation for Class-Incremental Learning
Class-incremental learning of deep networks sequentially increases the n...
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High-order Time Stepping Schemes for Semilinear Subdiffusion Equations
The aim of this paper is to develop and analyze high-order time stepping...
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Suppressing Uncertainties for Large-Scale Facial Expression Recognition
Annotating a qualitative large-scale facial expression dataset is extrem...
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Aesthetic Quality Assessment for Group photograph
Image aesthetic quality assessment has got much attention in recent year...
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Efficient Bitruss Decomposition for Large-scale Bipartite Graphs
Cohesive subgraph mining in bipartite graphs becomes a popular research ...
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A Realistic Face-to-Face Conversation System based on Deep Neural Networks
To improve the experiences of face-to-face conversation with avatar, thi...
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CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Electronic health record is an important source for clinical researches ...
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An Efficient Algorithm to Test Potentially Bipartiteness of Graphical Degree Sequences
As a partial answer to a question of Rao, a deterministic and customizab...
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Video synthesis of human upper body with realistic face
This paper presents a generative adversarial learning-based human upper ...
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Video synthesis of human upper body with realistic fac
This paper presents a generative adversarial learning-based human upper ...
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Deep Learning based Wearable Assistive System for Visually Impaired People
In this paper, we propose a deep learning based assistive system to impr...
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Coupled-Projection Residual Network for MRI Super-Resolution
Magnetic Resonance Imaging(MRI) has been widely used in clinical applica...
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Bootstrap Model Ensemble and Rank Loss for Engagement Intensity Regression
This paper presents our approach for the engagement intensity regression...
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frame attention networks for facial expression recognition in videos
The video-based facial expression recognition aims to classify a given v...
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BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization
The success of neural summarization models stems from the meticulous enc...
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Vision-based Robotic Grasping from Object Localization, Pose Estimation, Grasp Detection to Motion Planning: A Review
This paper presents a comprehensive survey on vision-based robotic grasp...
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LSANet: Feature Learning on Point Sets by Local Spatial Attention
Directly learning features from the point cloud has become an active res...
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Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
Occlusion and pose variations, which can change facial appearance signif...
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Towards More Realistic Human-Robot Conversation: A Seq2Seq-based Body Gesture Interaction System
This paper presents a novel method to improve the conversational interac...
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Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
This paper presents a novel garbage pickup robot which operates on the g...
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Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People
To help the blind people walk to the destination efficiently and safely ...
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Synthetic Data Generation and Adaption for Object Detection in Smart Vending Machines
This paper presents an improved scheme for the generation and adaption o...
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A Survey on Face Data Augmentation
The quality and size of training set have great impact on the results of...
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Detecting Colorized Images via Convolutional Neural Networks: Toward High Accuracy and Good Generalization
Image colorization achieves more and more realistic results with the inc...
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A Unified Framework for Mutual Improvement of SLAM and Semantic Segmentation
This paper presents a novel framework for simultaneously implementing lo...
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Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
We present a new, fast and flexible pipeline for indoor scene synthesis ...
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On the Generation of Medical Question-Answer Pairs
Question answering (QA) has achieved promising progress recently. Howeve...
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LIUM-CVC Submissions for WMT18 Multimodal Translation Task
This paper describes the multimodal Neural Machine Translation systems d...
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Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network
Knowledge Graph Embedding (KGE) aims to represent entities and relations...
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M-estimation in high-dimensional linear model
We mainly study the M-estimation method for the high-dimensional linear ...
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Deeply supervised neural network with short connections for retinal vessel segmentation
The condition of vessel of the human eye is a fundamental factor for the...
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